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A review study of application of artificial intelligence in construction management and composite beams

  • Cao, Yan (School of Mechatronic Engineering, Xi'an Technological University) ;
  • Zandi, Yousef (Department of Civil Engineering, Tabriz Branch, Islamic Azad University) ;
  • Agdas, Alireza Sadighi (Ghateh Gostar Novin Company) ;
  • Wang, Qiangfeng (School of Mechatronic Engineering, Xi'an Technological University) ;
  • Qian, Xueming (School of Mechatronic Engineering, Xi'an Technological University) ;
  • Fu, Leijie (School of Mechatronic Engineering, Xi'an Technological University) ;
  • Wakil, Karzan (Department of Computer, College of Science, University of Halabja) ;
  • Selmi, Abdellatif (Department of Civil Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University) ;
  • Issakhov, Alibek (Al-Farabi Kazakh National University) ;
  • Roco-Videla, Angel (Programa Magister en ciencias quimico-biologicas. Facultad de Ciencias de la Salud. Universidad Bernardo O'Higgins)
  • Received : 2020.02.25
  • Accepted : 2021.05.16
  • Published : 2021.06.25

Abstract

This paper is aimed to review the use of artificial intelligence (AI) algorithms in diverse civil engineering applications such as predicting and evaluating the different parameters of composite beams and shear connectors and determining the compressive strength of concrete. Also, the application of AI methods especially artificial neural network (ANN) in construction engineering and management including prediction and estimation, decision-making, classification or selection, optimization and risk analysis and safety has been thoroughly discussed. Furthermore, the integration of Artificial Neural network (ANN) with other soft computing methods, such as Backpropagation (BP), imperialist competitive algorithm (ICA), support vector regression (SVR), back-propagation neural network (BPNN), Genetic Algorithms (GA) and Multilayer feed forward (MLFF) has been reviewed. It has been reported that the combination of ANN with other intelligence algorithms leads to providing more accurate results. Moreover, the performance of ANN with other soft computing techniques, such as BP, BPNN, SVR, GA, ICA, and MLFF in various fields has been compared and ANN in many cases had superiority over other models.

Keywords

Acknowledgement

This paper is supported by Shaanxi Basic Research Plan of Natural Science (Grant: 2019JM-602), Project of Joint Postgraduate Training Base of Xi'an Technological University, and Research Project of Graduate Education and Teaching Reform of Xi'an Technological University in 2017.

References

  1. Abedini, M. and Zhang, C. (2020a), "Blast Performance of Concrete Columns Retrofitted with FRP using Segment Pressure Technique", Compos. Struct., 113473.
  2. Abedini, M. and Zhang, C. (2021), "Dynamic vulnerability assessment and damage prediction of RC columns subjected to severe impulsive loading", Struct. Eng. Mech., 77(4), https://doi.org/10.12989/sem.2021.77.4.441.
  3. Abedini, M., Zhang, C., Mehrmashhadi, J. and Akhlaghi, E. (2020b), Comparison of ALE, LBE and pressure time history methods to evaluate extreme loading effects in RC column. Structures. https://doi.org/10.1016/j.istruc.2020.08.084.
  4. Adeli, H. and Yeh, C. (1989), "Perceptron learning in engineering design", Comput.-Aided Civil Infrastruct. Eng., 4(4), 247-256. https://doi.org/10.1111/j.1467-8667.1989.tb00026.x.
  5. Afshar, A., Jahandari, S., Rasekh, H., Shariati, M., Afshar, A. and Shokrgozar, A. (2020), "Corrosion resistance evaluation of rebars with various primers and coatings in concrete modified with different additives", Constr. Build. Mater., 262, 120034. https://doi.org/10.1016/j.conbuildmat.2020.120034.
  6. Alam, Z., Sun, L., Zhang, C., Su, Z. and Samali, B. (2020a). "Experimental and numerical investigation on the complex behaviour of the localised seismic response in a multi-storey plan-asymmetric structure", Struct. Infrastruct. Eng., 1-17. https://doi.org/10.1080/15732479.2020.1730914.
  7. Alam, Z., Zhang, C. and Samali, B. (2020b). "Influence of seismic incident angle on response uncertainty and structural performance of tall asymmetric structure", Struct. Des. Tall Spec. Build., e1750. https://doi.org/10.1002/tal.1750.
  8. Alam, Z., Zhang, C. and Samali, B. (2020c), "The role of viscoelastic damping on retrofitting seismic performance of asymmetric reinforced concrete structures", Earthq. Eng. Eng. Vib., 19(1), 223-237. https://doi.org/10.1007/s11803-020-0558-x.
  9. Arabnejad Khanouki, M.M., Ramli Sulong, N.H. and Shariati, M. (2010), "Investigation of seismic behaviour of composite structures with concrete filled square steel tubular (CFSST) column by push-over and time-history analyses", Proceedings of the 4th International Conference on Steel & Composite Structures.
  10. Arabnejad Khanouki, M.M., Ramli Sulong, N.H. and Shariati, M. (2011), "Behavior of through Beam Connections Composed of CFSST Columns and Steel Beams by Finite Element Studying", Adv. Mater. Res., 168, 2329-2333. http://dx.doi.org/10.4028/www.scientific.net/AMR.168-170.2329.
  11. Arabnejad Khanouki, M.M., Ramli Sulong, N.H., Shariati, M. and Tahir, M.M. (2016), "Investigation of through beam connection to concrete filled circular steel tube (CFCST) column", J. Constr. Steel Res., 121, 144-162 https://doi.org/10.1016/j.jcsr.2016.01.002.
  12. Ardakani, A. and Kordnaeij, A. (2019), "Soil compaction parameters prediction using GMDH-type neural network and genetic algorithm", Eur. J. Environ. Civil Eng., 23(4), 449-462. https://doi.org/10.1080/19648189.2017.1304269.
  13. Bai, Y., Wang, S., Mou, B., Wang, Y. and Skalomenos, K.A. (2021), "Bi-directional seismic behavior of steel beam-column connections with outer annular stiffener", Eng. Struct., 227, 111443. https://doi.org/10.1016/j.engstruct.2020.111443.
  14. Betti, M., Facchini, L. and Biagini, P. (2015), "Damage detection on a three-storey steel frame using artificial neural networks and genetic algorithms", Meccanica, 50(3), 875-886. https://doi.org/10.1007/s11012-014-0085-9.
  15. Boussabaine, A.H. (1996), "The use of artificial neural networks in construction management: a review", Constr. Management Economics, 14(5), 427-436. https://doi.org/10.1080/014461996373296.
  16. Cao, Y., Alyousef, R., Jermsittiparsert, K., Ho, L. S., Alaskar, A., Alabduljabbar, H., Alrshoudi, F. and Mohamed, A. M. (2020a). "Investigation on the monotonic behavior of the steel rack upright-beam column connection", Smart Struct. Syst., 26(1), 103-115. https://doi.org/10.12989/sss.2020.26.1.103.
  17. Cao, Y., Wakil, K., Alyousef, R., Jermsittiparsert, K., Ho, L.S., Alabduljabbar, H., Alaskar, A., Alrshoudi, F. and Mohamed, A. M. (2020b), Application of extreme learning machine in behavior of beam to column connections. Structures. https://doi.org/10.1016/j.istruc.2020.03.058.
  18. Chandwani, V., Agrawal, V. and Nagar, R. (2015), "Modeling slump of ready mix concrete using genetic algorithms assisted training of Artificial Neural Networks", Exp. Syst. Appl., 42(2), 885-893. https://doi.org/10.1016/j.eswa.2014.08.048.
  19. Chatterjee, S., Sarkar, S., Hore, S., Dey, N., Ashour, A.S. and Balas, V.E. (2017), "Particle swarm optimization trained neural network for structural failure prediction of multistoried RC buildings", Neural Comput. Appl., 28(8), 2005-2016. https://doi.org/10.1007/s00521-016-2190-2.
  20. Chelgani, S.C., Shahbazi, B. and Rezai, B. (2010), "Estimation of froth flotation recovery and collision probability based on operational parameters using an artificial neural network", Int. J. Minerals, Metallurgy Mater., 17(5), 526-534. https://doi.org/10.1007/s12613-010-0353-1.
  21. Chen, C., Shi, L., Shariati, M., Toghroli, A., Mohamad, E.T., Bui, D.T. and Khorami, M. (2019), "Behavior of steel storage pallet racking connection-A review", 30(5), 457-469. https://doi.org/10.12989/scs.2019.30.5.457.
  22. Chen, F. and Liu, Y. (2015), "Innovation performance study on the construction safety of urban subway engineering based on bayesian network: a case study of BIM innovation project", J. Appl. Sci. Eng., 18(3), 233-244. https://doi.org/10.6180/jase.2015.18.3.03.
  23. Chen, F., Zhong, Y., Gao, X., Jin, Z., Wang, E., Zhu, F., Shao, X. and He, X. (2021), "Non-uniform Model of Relationship Between Surface Strain and Rust Expansion Force of Reinforced Concrete".
  24. Cheung, S.O., Tam, C. and Harris, F. (2000), "Project dispute resolution satisfaction classification through neural network", J. Management Eng., 16(1), 70-79. https://doi.org/10.1061/(ASCE)0742-597X(2000)16:1(70).
  25. Daie, M., Jalali, A., Suhatril, M., Shariati, M., Arabnejad Khanouki, M.M., Shariati, A. and Kazemi-Arbat, P. (2011), "A new finite element investigation on pre-bent steel strips as damper for vibration control", Int. J. Phys. Sci., 6(36), 8044-8050 https://doi.org/10.5897/ijps11.1585.
  26. Davoodnabi, S.M., Mirhosseini, S.M. and Shariati, M. (2019), "Behavior of steel-concrete composite beam using angle shear connectors at fire condition", Steel Compos. Struct., 30(2), 141-147 https://doi.org/10.12989/scs.2019.30.2.141.
  27. Elhag, T.M. and Wang, Y.M. (2007), "Risk assessment for bridge maintenance projects: Neural networks versus regression techniques", J. Comput. Civil Eng., 21(6), 402-409. https://doi.org/10.1061/(ASCE)0887-3801(2007)21:6(402).
  28. Flood, I. (2008), "Towards the next generation of artificial neural networks for civil engineering", Adv. Eng. Inform., 22(1), 4-14. https://doi.org/10.1016/j.aei.2007.07.001.
  29. Goh, Y.M. and Chua, D. (2013), "Neural network analysis of construction safety management systems: a case study in Singapore", Constr. Management Economics, 31(5), 460-470. https://doi.org/10.1080/01446193.2013.797095.
  30. Gokkus, U., Yildirim, M. and Yilmazoglu, A. (2018), "Prediction of Concrete and Steel Materials Contained by Cantilever Retaining Wall by Modeling the Artificial Neural Networks", J. Soft Comput. Civil Eng., 2(4), 47-61. https://doi.org/10.22115/scce.2018.137218.1078
  31. Golafshani, E.M. and Behnood, A. (2018), "Application of soft computing methods for predicting the elastic modulus of recycled aggregate concrete", J. Cleaner Production, 176, 1163-1176. https://doi.org/10.1016/j.jclepro.2017.11.186.
  32. Gui, X., Zheng, X.Y., Song, J.W. and Peng, X. (2011), "Automation bridge design and structural optimization", Appl. Mech. Mater., Trans Tech Publ. https://doi.org/10.4028/www.scientific.net/AMM.63-64.457.
  33. Guneyisi, E.M., Mermerdas, K., Guneyisi, E. and Gesoglu, M. (2015), "Numerical modeling of time to corrosion induced cover cracking in reinforced concrete using soft-computing based methods", Mater. Struct., 48(6), 1739-1756. https://doi.org/10.1617/s11527-014-0269-8.
  34. Habibi, M., Hashemi, R., Ghazanfari, A., Naghdabadi, R. and Assempour, A. (2018a), "Forming limit diagrams by including the M-K model in finite element simulation considering the effect of bending", Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications, 232(8), 625-636. https://doi.org/10.1177/1464420716642258.
  35. Habibi, M., Hashemi, R., Tafti, M.F. and Assempour, A. (2018b), "Experimental investigation of mechanical properties, formability and forming limit diagrams for tailor-welded blanks produced by friction stir welding", J. Manufact. Process., 31, 310-323. https://doi.org/10.1016/j.jmapro.2017.11.009.
  36. Hamidian, M., Shariati, M., Arabnejad, M. and Sinaei, H. (2011), "Assessment of high strength and light weight aggregate concrete properties using ultrasonic pulse velocity technique", Int. J. Phys. Sci., 6(22), 5261-5266. https://doi.org/10.5897/IJPS11.1081.
  37. Hegazy, T. and Ayed, A. (1998), "Neural network model for parametric cost estimation of highway projects", J. Constr. Eng. Management, 124(3), 210-218. https://doi.org/10.1061/(ASCE)0733-9364(1998)124:3(210).
  38. Heidari, A., Hashempour, M. and Tavakoli, D. (2017), "Using of Backpropagation Neural Network in Estimating of Compressive Strength of Waste Concrete", Soft Comput. Civil Eng., 1(1), 54-64. https://doi.org/10.22115/scce.2017.48040.
  39. Heydari, A. and Shariati, M. (2018), "Buckling analysis of tapered BDFGM nano-beam under variable axial compression resting on elastic medium", Struct. Eng. Mech., 66(6), 737-748. https://doi.org/10.12989/sem.2018.66.6.737.
  40. Hosseinpour, E., Baharom, S., Badaruzzaman, W.H.W., Shariati, M. and Jalali, A. (2018), "Direct shear behavior of concrete filled hollow steel tube shear connector for slim-floor steel beams", Steel Compos. Struct., 26(4), 485-499. https://doi.org/10.12989/scs.2018.26.4.485.
  41. Huang, H., Huang, M., Zhang, W., Pospisil, S. and Wu, T. (2020a), "Experimental Investigation on Rehabilitation of Corroded RC Columns with BSP and HPFL under Combined Loadings", J. Struct. Eng., 146(8), 04020157. https://doi.org/10.1061/(ASCE)ST.1943-541X.0002725.
  42. Huang, H., Huang, M., Zhang, W. and Yang, S. (2020b), "Experimental study of predamaged columns strengthened by HPFL and BSP under combined load cases", Struct. Infrastruct. Eng., 1-18. https://doi.org/10.1080/15732479.2020.1801768.
  43. Huang, X., Zhu, Y., Vafaei, P., Moradi, Z. and Davoudi, M. (2021), "An iterative simulation algorithm for large oscillation of the applicable 2D-electrical system on a complex nonlinear substrate", Eng. with Comput., 1-13. https://doi.org/10.1007/s00366-021-01320-y.
  44. Ilkhani, M.H., Moradi, E. and Lavasani, M. (2017), "Calculation of Torsion Capacity of the Reinforced Concrete Beams Using Artificial Neural Network", Soft Comput. Civil Eng., 1(2), 8-18. https://doi.org/10.22115/SCCE.2017.48685.
  45. Iqtidar, A., Bahadur Khan, N., Kashif-ur-Rehman, S., Faisal Javed, M., Aslam, F., Alyousef, R., Alabduljabbar, H. and Mosavi, A. (2021), "Prediction of Compressive Strength of Rice Husk Ash Concrete through Different Machine Learning Processes", Crystals, 11(4), 352. https://doi.org/10.3390/cryst11040352.
  46. Ismail, M., Shariati, M., Abdul Awal, A.S.M., Chiong, C.E., Sadeghipour Chahnasir, E., Porbar, A., Heydari, A. and khorami, M. (2018), "Strengthening of bolted shear joints in industrialized ferrocement construction", Steel Compos. Struct., 28(6), 681-690 https://doi.org/10.12989/scs.2018.28.6.681.
  47. Jain, M. and Pathak, K. (2014), "Applications of artificial neural network in construction engineering and management-a review", Int. J. Eng. Technol. Management Appl. Sci., 2(3), 134-142.
  48. Jalal, M. (2015), "Soft computing techniques for compressive strength prediction of concrete cylinders strengthened by CFRP composites", Sci. Eng. Compos. Mater., 22(1), 97-112. https://doi.org/10.1515/secm-2013-0240
  49. Jalali, A., Daie, M., Nazhadan, S.V.M., Kazemi-Arbat, P. and Shariati, M. (2012), "Seismic performance of structures with prebent strips as a damper", Int. J. Phys. Sci., 7(26), 4061-4072. https://doi.org/10.5897/IJPS11.1324.
  50. Jiao, J., Ghoreishi, S.M.., Moradi, Z. and Oslub, K. (2021), "Coupled particle swarm optimization method with genetic algorithm for the static-dynamic performance of the magneto-electro-elastic nanosystem", Eng.with Comput., 1-15. https://doi.org/10.1007/s00366-021-01391-x.
  51. Katebi, J., Shoaei-parchin, M., Shariati, M., Trung, N.T. and Khorami, M. (2019), "Developed comparative analysis of metaheuristic optimization algorithms for optimal active control of structures", Eng. with Comput., 1-20. https://doi.org/10.1007/s00366-019-00780-7.
  52. Keshavarz, Z. and Torkian, H. (2018), "Application of ANN and ANFIS models in determining compressive strength of concrete", Soft Comput. Civil Eng., 2(1), 62-70. https://doi.org/10.22115/SCCE.2018.51114..
  53. Khan, M., Zafar, A., Farooq, F., Javed, M., Alyousef, R., Alabduljabbar, H. and Khan, M. (2021), "Geopolymer Concrete Compressive Strength via Artificial Neural Network, Adaptive Neuro Fuzzy Interface System, and Gene Expression Programming With K-Fold Cross Validation", Front. Mater., 8, 621163. https://doi.org/10.3389/fmats.
  54. Khorami, M., Alvansazyazdi, M., Shariati, M., Zandi, Y., Jalali, A. and Tahir, M. (2017a), "Seismic performance evaluation of buckling restrained braced frames (BRBF) using incremental nonlinear dynamic analysis method (IDA)", 13(6), 531-538. http://dx.doi.org/10.12989/eas.2017.13.6.531.
  55. Khorami, M., Khorami, M., Motahar, H., Alvansazyazdi, M., Shariati, M., Jalali, A. and Tahir, M. M. (2017b), "Evaluation of the seismic performance of special moment frames using incremental nonlinear dynamic analysis", 63(2), 259-268. https://doi.org/10.12989/sem.2017.63.2.259.
  56. Khorramian, K., Maleki, S., Shariati, M., Jalali, A. and Tahir, M. (2017). "Numerical analysis of tilted angle shear connectors in steel-concrete composite systems", Steel Compos. Struct., 23(1), 67-85. https://doi.org/10.12989/scs.2017.23.1.067.
  57. Khorramian, K., Maleki, S., Shariati, M. and Ramli Sulong, N.H. (2016), "Behavior of Tilted Angle Shear Connectors (vol 10, e0144288, 2015)", PloS one, 11(2). https://doi.org/10.1371/journal.pone.0148945.
  58. Kordestani, H. and Zhang, C. (2020a), "Direct use of the savitzky-golay filter to develop an output-only trend line-based damage detection method", Sensors, 20(7), 1983. https://doi.org/10.3390/s20071983.
  59. Kordestani, H., Zhang, C. and Shadabfar, M. (2020b), "Beam damage detection under a moving load using random decrement technique and Savitzky-Golay Filter", Sensors, 20(1), 243. https://doi.org/10.3390/s20010243.
  60. Laflamme, S. and Connor, J.J. (2009), "Application of self-tuning Gaussian networks for control of civil structures equipped with magnetorheological dampers", Active and Passive Smart Structures and Integrated Systems 2009, International Society for Optics and Photonics.
  61. Lee, T.I., Lin, H.M. and Lu, Y.P. (2009), "Assessment of highway slope failure using neural networks", J. Zhejiang University-Sci. A, 10(1), 101-108. https://doi.org/10.1631/jzus.A0820265.
  62. Li, C., Sun, L., Xu, Z., Wu, X., Liang, T. and Shi, W. (2020), "Experimental Investigation and Error Analysis of High Precision FBG Displacement Sensor for Structural Health Monitoring", Int. J. Struct. Stab. Dynam., 2040011. https://doi.org/10.1142/S0219455420400118.
  63. Li, D., Toghroli, A., Shariati, M., Sajedi, F., Bui, D.T., Kianmehr, P., Mohamad, E.T. and Khorami, M. (2019), "Application of polymer, silica-fume and crushed rubber in the production of Pervious concrete", Smart Struct. Syst., 23(2), 207-214. https://doi.org/10.12989/sss.2019.23.2.207.
  64. Liu, J. and Guo, F. (2014). "Construction quality risk management of projects on the basis of rough set and neural network", Comput. Model. New Technol., 18(11), 791-794.
  65. Liu, J., Liu, Y. and Wang, X. (2020a), "An environmental assessment model of construction and demolition waste based on system dynamics: a case study in Guangzhou", Environ. Sci. Pollution Res., 27(30), 37237-37259. https://doi.org/10.1007/s11356-019-07107-5.
  66. Liu, J., Yi, Y. and Wang, X. (2020b), "Exploring factors influencing construction waste reduction: A structural equation modeling approach", J. Cleaner Production, 276, 123185. https://doi.org/10.1016/j.jclepro.2020.123185.
  67. Luo, Z., Sinaei, H., Ibrahim, Z., Shariati, M., Jumaat, Z., Wakil, K., Pham, B.T., Mohamad, E.T. and Khorami, M. (2019), "Computational and experimental analysis of beam to column joints reinforced with CFRP plates", Steel Compos. Struct., 30(3), 271-280. http://dx.doi.org/10.12989/scs.2019.30.3.271.
  68. Lv, Z. and Kumar, N. (2020), "Software defined solutions for sensors in 6G/IoE", Comput. Commun., 153, 42-47. https://doi.org/10.1007/s00366-019-00780-7.
  69. Lv, Z. and Song, H. (2019a). "Mobile internet of things under data physical fusion technology", IEEE Internet Things J., 7(5), 4616- 4624. https://doi.org/10.1109/JIOT.2019.2954588.
  70. Lv, Z. and Xiu, W. (2019b), "Interaction of edge-cloud computing based on SDN and NFV for next generation IoT", IEEE Internet Things J., 7(7), 5706-5712. https://doi.org/10.1109/JIOT.2019.2942719.
  71. Mansouri, I., Shariati, M., Safa, M., Ibrahim, Z., Tahir, M. and Petkovic, D. (2019), "Analysis of influential factors for predicting the shear strength of a V-shaped angle shear connector in composite beams using an adaptive neuro-fuzzy technique", J. Intel. Manufact., 30(3), 1247-1257. https://doi.org/10.1007/s10845-017-1306-6
  72. Mehidi, S., Chakrabarty, N. and Mohiuddin, H. (2014), "An Application of Artificial Neural Network (ANN) Process to Assess Risk in Cement Industries in Bangladesh", Ind. Eng. Manage, 3(4), 1-6. https://doi.org/10.4172/2169-0316.1000138.
  73. Mehrabi, P., Shariati, M., Kabirifar, K., Jarrah, M., Rasekh, H., Trung, N.T., Shariati, A. and Jahandari, S. (2021), "Effect of pumice powder and nano-clay on the strength and permeability of fiber-reinforced pervious concrete incorporating recycled concrete aggregate", Constr. Build. Mater., 287, 122652. https://doi.org/10.1016/j.conbuildmat.2021.122652.
  74. Milovancevic, M., Marinovic, J.S., Nikolic, J., Kitic, A., Shariati, M., Trung, N.T., Wakil, K. and Khorami, M. (2019), "UML diagrams for dynamical monitoring of rail vehicles", Physica A: Statistical Mech. Appl., 121169. https://doi.org/10.1016/j.physa.2019.121169.
  75. Moayed, F.A. and Shell, R.L. (2011), "Application of artificial neural network models in occupational safety and health utilizing ordinal variables", Ann. Occup. Hyg., 55(2), 132-142. https://doi.org/10.1093/annhyg/meq079.
  76. Mohammadfam, I., Soltanzadeh, A., Moghimbeigi, A. and Savareh, B.A. (2015), "Use of artificial neural networks (ANNs) for the analysis and modeling of factors that affect occupational injuries in large construction industries", Electronic Physician, 7(7), 1515. https://doi.org/10.19082/1515.
  77. Mohammadhassani, M., Akib, S., Shariati, M., Suhatril, M. and Arabnejad Khanouki, M.M. (2014a), "An experimental study on the failure modes of high strength concrete beams with particular references to variation of the tensile reinforcement ratio", Eng. Fail. Anal., 41, 73-80. https://doi.org/10.1016/j.engfailanal.2013.08.014.
  78. Mohammadhassani, M., Nezamabadi-Pour, H., Suhatril, M. and Shariati, M. (2013), "Identification of a suitable ANN architecture in predicting strain in tie section of concrete deep beams", Struct. Eng. Mech., 46(6), 853-868. https://doi.org/10.12989/sem.2013.46.6.853.
  79. Mohammadhassani, M., Nezamabadi-Pour, H., Suhatril, M. and Shariati, M. (2014b), "An evolutionary fuzzy modelling approach and comparison of different methods for shear strength prediction of high-strength concrete beams without stirrups", Smart Struct. Syst., 14(5), 785-809. https://doi.org/10.12989/sss.2014.14.5.785.
  80. Mohammadhassani, M., Suhatril, M., Shariati, M. and Ghanbari, F. (2014c). "Ductility and strength assessment of HSC beams with varying of tensile reinforcement ratios", Struct. Eng. Mech., 48(6), 833-848. https://doi.org/10.12989/sem.2013.48.6.833.
  81. Moselhi, O., Hegazy, T. and Fazio, P. (1991), "Neural networks as tools in construction", J. Constr. Eng. Management, 117(4), 606-625. http://dx.doi.org/10.12989/sem.2013.46.6.853.
  82. Mou, B., Li, X., Bai, Y. and Wang, L. (2019), "Shear behavior of panel zones in steel beam-to-column connections with unequal depth of outer annular stiffener", J. Struct. Eng., 145(2), 04018247. https://doi.org/10.1061/(ASCE)ST.1943-541X.0002256.
  83. Mousavi, A.A., Zhang, C., Masri, S.F. and Gholipour, G. (2020), "Structural Damage Localization and Quantification Based on a CEEMDAN Hilbert Transform Neural Network Approach: A Model Steel Truss Bridge Case Study", Sensors, 20(5), 1271. https://doi.org/10.3390/s20051271.
  84. Murtaza, M.B. and Fisher, D.J. (1994), "A neural network model for decision making With application in construction management", J. Int. Inform. Management, 3(2), 3.
  85. Naderpour, H. and Mirrashid, M. (2019), "A Neuro-Fuzzy model for punching shear prediction of slab-column connections reinforced with FRP", Soft Comput.Civil Eng., 3(1), 16-26. https://doi.org/10.22115/SCCE.2018.136068.1073.
  86. Naghipour, M., Niak, K.M., Shariati, M. and Toghroli, A. (2020a), "Effect of progressive shear punch of a foundation on a reinforced concrete building behavior", Steel Compos. Struct., 35(2), 279-294. ttps://doi.org/10.12989/scs.2020.35.2.279.
  87. Naghipour, M., Yousofizinsaz, G. and Shariati, M. (2020b), "Experimental study on axial compressive behavior of welded built-up CFT stub columns made by cold-formed sections with different welding lines", Steel Compos. Struct., 34(3), 347-359. https://doi.org/10.12989/scs.2020.34.3.347.
  88. Nasrollahi, S., Maleki, S., Shariati, M., Marto, A. and Khorami, M. (2018), "Investigation of pipe shear connectors using push out test", Steel Compos. Struct., 27(5), 537-543. http://dx.doi.org/10.12989/scs.2018.27.5.537.
  89. Nosrati, A., Zandi, Y., Shariati, M., Khademi, K., Darvishnezhad Aliabad, M., Marto, A., Mu'azu, M., Ghanbari, E., Mandizadeh, M. B. and Shariati, A. (2018), "Portland cement structure and its major oxides and fineness", Smart Struct. Syst., 22(4), 425-432 https://doi.org/10.12989/sss.2018.22.4.425.
  90. Paknahad, M., Shariati, M., Sedghi, Y., Bazzaz, M. and Khorami, M. (2018), "Shear capacity equation for channel shear connectors in steel-concrete composite beams", Steel Compos. Struct., 28(4), 483-494. https://doi.org/10.12989/scs.2018.28.4.483.
  91. Panda, L., Banerjee, P., Biswal, S.K., Venugopal, R. and Mandre, N. (2014), "Artificial neural network approach to assess selective flocculation on hematite and kaolinite", Int. J. Minerals, Metallurgy Mater., 21(7), 637-646. https://doi.org/10.1007/s12613-014-0952-3.
  92. Parhi, D. and Dash, A. (2011), "Application of neural network and finite element for condition monitoring of structures", Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 225(6), 1329-1339. https://doi.org/10.1177/0954406210395883.
  93. Pazhoohan, J., Beiki, H. and Esfandyari, M. (2019), "Experimental investigation and adaptive neural fuzzy inference system prediction of copper recovery from flotation tailings by acid leaching in a batch agitated tank", Int. J. Minerals Metallurgy Mater., 26(5), 538-546. https://doi.org/10.1007/s12613-019-1762-4.
  94. Qi, C., Chen, Q. and Kim, S.S. (2020), "Integrated and intelligent design framework for cemented paste backfill: A combination of robust machine learning modelling and multi-objective optimization", Minerals Eng., 155, 106422. https://doi.org/10.1016/j.mineng.2020.106422.
  95. Qi, C. and Fourie, A. (2019), "Cemented paste backfill for mineral tailings management: Review and future perspectives", Minerals Eng., 144, 106025. https://doi.org/10.1016/j.mineng.2019.106025.
  96. Rahman, H.S., Alireza, K. and Reza, G. (2010), "Application of artificial neural network, kriging, and inverse distance weighting models for estimation of scour depth around bridge pier with bed sill", J. Software Eng. Appl., 3(10), 944. https://doi.org/10.4236/jsea.2010.310112.
  97. Rajaei, S., Shoaei, P., Shariati, M., Ameri, F., Musaeei, H.R., Behforouz, B. and de Brito, J. (2021), "Rubberized alkali-activated slag mortar reinforced with polypropylene fibres for application in lightweight thermal insulating materials", Constr. Build. Mater., 270, 121430. https://doi.org/10.1016/j.conbuildmat.2020.121430.
  98. Razavian, L., Naghipour, M., Shariati, M. and Safa, M. (2020). "Experimental study of the behavior of composite timber columns confined with hollow rectangular steel sections under compression", Struct. Eng. Mech., 74(1), 145-156. https://doi.org/10.12989/sem.2020.74.1.145.
  99. Sadeghipour Chahnasir, E., Zandi, Y., Shariati, M., Dehghani, E., Toghroli, A., Mohamed, E.T., Shariati, A., Safa, M., Wakil, K. and Khorami, M. (2018), "Application of support vector machine with firefly algorithm for investigation of the factors affecting the shear strength of angle shear connectors", Smart Struct. Syst., 22(4), 413-424. http://dx.doi.org/10.12989/sss.2018.22.4.413.
  100. Sadowski, L. and Nikoo, M. (2014), "Corrosion current density prediction in reinforced concrete by imperialist competitive algorithm", Neural Comput. Appl., 25(7), 1627-1638. https://doi.org/10.1007/s00521-014-1645-6.
  101. Safa, M., Maleka, A., Arjomand, M.A., Khorami, M. and Shariati, M. (2019), "Strain rate effects on soil-geosynthetic interaction in fine-grained soil", Geomech. Eng., 19(6), 533-542. https://doi.org/10.12989/gae.2019.19.6.533.
  102. Safa, M., Sari, P.A., Shariati, M., Suhatril, M., Trung, N.T., Wakil, K. and Khorami, M. (2020), "Development of neuro-fuzzy and neuro-bee predictive models for prediction of the safety factor of eco-protection slopes", Physica A: Statistical Mechanics and its Applications, 124046. https://doi.org/10.1016/j.physa.2019.124046.
  103. Safa, M., Shariati, M., Ibrahim, Z., Toghroli, A., Baharom, S.B., Nor, N.M. and Petkovic, D. (2016), "Potential of adaptive neuro fuzzy inference system for evaluating the factors affecting steel-concrete composite beam's shear strength", Steel Compos. Struct., 21(3), 679-688. https://doi.org/10.12989/scs.2016.21.3.679.
  104. Sajedi, F. and Shariati, M. (2019), "Behavior study of NC and HSC RCCs confined by GRP casing and CFRP wrapping", Steel Compos. Struct., 30(5), 417-432. https://doi.org/10.12989/scs.2019.30.5.417.
  105. Sedghi, Y., Zandi, Y., Shariati, M., Ahmadi, E., Moghimi Azar, V., Toghroli, A., Safa, M., Tonnizam Mohamad, E., Khorami, M. and Wakil, K. (2018), "Application of ANFIS technique on performance of C and L shaped angle shear connectors", Smart Struct. Syst., 22(3), 335-340 https://doi.org/10.12989/sss.2018.22.3.335.
  106. Shah, S., Ramli Sulong, N.H., Shariati, M., Khan, R. and Jumaat, M. (2016a), "Behavior of steel pallet rack beam-to-column connections at elevated temperatures", Thin-Wall. Struct., 106, 471-483. https://doi.org/10.1016/j.tws.2016.05.021.
  107. Shah, S., Sulong, N.R., Jumaat, M. and Shariati, M. (2016b), "State-of-the-art review on the design and performance of steel pallet rack connections", Eng. Fail. Anal., 66, 240-258. https://doi.org/10.1016/j.engfailanal.2016.04.017.
  108. Shah, S., Sulong, N.R., Khan, R., Jumaat, M. and Shariati, M. (2016c), "Behavior of industrial steel rack connections", Mech. Syst. Signal Pr., 70, 725-740. https://doi.org/10.1016/j.ymssp.2015.08.026.
  109. Shah, S., Sulong, N. R., Shariati, M. and Jumaat, M. (2015), "Steel Rack Connections: Identification of Most Influential Factors and a Comparison of Stiffness Design Methods", PloS one, 10(10), e0139422. https://doi.org/10.1371/journal.pone.0139422
  110. Shahabi, S., Ramli Sulong, N.H., Shariati, M., Mohammadhassani, M. and Shah, S. (2016a), "Numerical analysis of channel connectors under fire and a comparison of performance with different types of shear connectors subjected to fire", Steel Compos. Struct., 20(3), 651-669. https://10.12989/scs.2016.20.3.651.
  111. Shahabi, S., Ramli Sulong, N.H., Shariati, M. and Shah, S. (2016b), "Performance of shear connectors at elevated temperatures-A review", Steel Compos. Struct., 20(1), 185-203 https://doi.org/10.12989/scs.2016.20.1.185.
  112. Shariat, M., Shariati, M., Madadi, A. and Wakil, K. (2018). "Computational Lagrangian Multiplier Method by using for optimization and sensitivity analysis of rectangular reinforced concrete beams", Steel Compos. Struct., 29(2), 243-256. https://doi.org/10.12989/scs.2018.29.2.243.
  113. Shariati, A., Ramli Sulong, N.H., Suhatril, M. and Shariati, M. (2012a), "Investigation of channel shear connectors for composite concrete and steel T-beam", Int. J. Phys. Sci., 7(11), 1828-1831. https://doi.org/10.5897/IJPS11.1604.
  114. Shariati, A., Ramli Sulong, N.H., Suhatril, M. and Shariati, M. (2012b), "Various types of shear connectors in composite structures: A review", Int. J. Phys. Sci., 7(22), 2876-2890. https://doi.org/10.5897/IJPSx11.004.
  115. Shariati, A., Shariati, M., Ramli Sulong, N.H., Suhatril, M., Arabnejad Khanouki, M.M. and Mahoutian, M. (2014), "Experimental assessment of angle shear connectors under monotonic and fully reversed cyclic loading in high strength concrete", Constr. Build. Mater., 52, 276-283. http://dx.doi.org/10.1016/j.conbuildmat.2013.11.036.
  116. Shariati, M. (2008), Assessment of Building Using Nonedestructive Test Techniques (ultra Sonic Pulse Velocity and Schmidt Rebound Hammer), Universiti Putra Malaysia.
  117. Shariati, M. (2013), Behaviour of C-shaped Shear Connectors in Stell Concrete Composite Beams, Jabatan Kejuruteraan Awam, Fakulti Kejuruteraan, Universiti Malaya.
  118. Shariati, M. (2020), "Evaluation of seismic performance factors for tension-only braced frames".
  119. Shariati, M., Azar, S. M., Arjomand, M.A., Tehrani, H.S., Daei, M. and Safa, M. (2019a), "Comparison of dynamic behavior of shallow foundations based on pile and geosynthetic materials in fine-grained clayey soils", Geomech. Eng., 19(6), 473. https://doi.org/10.12989/gae.2019.19.6.473.
  120. Shariati, M., Azar, S.M., Arjomand, M.A., Tehrani, H.S., Daei, M. and Safa, M. (2020a), "Evaluating the impacts of using piles and geosynthetics in reducing the settlement of fine-grained soils under static load", Geomech. Eng., 20(2), 87-101. https://doi.org/10.12989/gae.2020.20.2.087.
  121. Shariati, M., Faegh, S.S., Mehrabi, P., Bahavarnia, S., Zandi, Y., Masoom, D.R., Toghroli, A., Trung, N.T. and Salih, M.N. (2019b), "Numerical study on the structural performance of corrugated low yield point steel plate shear walls with circular openings", Steel Compos.Struct., 33(4), 569-581. https://doi.org/10.12989/scs.2019.33.4.569.
  122. Shariati, M., Ghorbani, M., Naghipour, M., Alinejad, N. and Toghroli, A. (2020b), "The effect of RBS connection on energy absorption in tall buildings with braced tube frame system", Steel Compos. Struct., 34(3), 393-407. https://doi.org/10.12989/scs.2020.34.3.393.
  123. Shariati, M., Grayeli, M., Shariati, A. and Naghipour, M. (2020c), "Performance of composite frame consisting of steel beams and concrete filled tubes under fire loading", Steel Compos. Struct., 36(5), 587-602. https://doi.org/10.12989/scs.2020.36.5.587.
  124. Shariati, M., Heyrati, A., Zandi, Y., Laka, H., Toghroli, A., Kianmehr, P., Safa, M., Salih, M. N. and Poi-Ngian, S. (2019c). "Application of waste tire rubber aggregate in porous concrete", Smart Struct. Syst., 24(4), 553-566. https://doi.org/10.12989/sss.2019.24.4.587.
  125. Shariati, M., Mafipour, M.S., Ghahremani, B., Azarhomayun, F., Ahmadi, M., Trung, N.T. and Shariati, A. (2020d), "A novel hybrid extreme learning machine-grey wolf optimizer (ELM-GWO) model to predict compressive strength of concrete with partial replacements for cement", Eng. with Comput., 1-23.
  126. Shariati, M., Mafipour, M.S., Haido, J.H., Yousif, S.T., Toghroli, A., Trung, N.T. and Shariati, A. (2020e), "Identification of the most influencing parameters on the properties of corroded concrete beams using an Adaptive Neuro-Fuzzy Inference System (ANFIS)", Steel Compos. Struct., 34(1), 155-170. https://doi.org/10.12989/scs.2020.34.1.155.
  127. Shariati, M., Mafipour, M. S., Mehrabi, P., Ahmadi, M., Wakil, K., Trung, N.T. and Toghroli, A. (2020f), "Prediction of concrete strength in presence of furnace slag and fly ash using Hybrid ANN-GA (Artificial Neural Network-Genetic Algorithm)", Smart Struct. Syst., 25(2), 183-195. https://doi.org/10.12989/sss.2020.25.2.183.
  128. Shariati, M., Mafipour, M. S., Mehrabi, P., Bahadori, A., Zandi, Y., Salih, M.N., Nguyen, H., Dou, J., Song, X. and Poi-Ngian, S. (2019d), "Application of a hybrid artificial neural network-particle swarm optimization (ANN-PSO) model in behavior prediction of channel shear connectors embedded in normal and high-strength concrete", Appl.Sci., 9(24), 5534. https://doi.org/10.3390/app9245534
  129. Shariati, M., Mafipour, M.S., Mehrabi, P., Shariati, A., Toghroli, A., Trung, N.T. and Salih, M.N. (2020g), "A novel approach to predict shear strength of tilted angle connectors using artificial intelligence techniques", Eng. with Comput., 1-21.
  130. Shariati, M., Mafipour, M.S., Mehrabi, P., Zandi, Y., Dehghani, D., bahadori, A., Shariati, A., Trung, N.T., Salih, M.N. and Poi-Ngian, S. (2019e), "Application of Extreme Learning Machine (ELM) and Genetic Programming (GP) to design steel-concrete composite floor systems at elevated temperatures", Steel Compos. Struct., 33(3), 319-332. https://doi.org/10.12989/scs.2019.33.3.319.
  131. Shariati, M., Naghipour, M., Yousofizinsaz, G., Toghroli, A. and Tabarestani, N.P. (2020h), "Numerical study on the axial compressive behavior of built-up CFT columns considering different welding lines", Steel Compos. Struct., 34(3), 377-391. https://doi.org/10.12989/scs.2020.34.3.377.
  132. Shariati, M., Rafiei, S., Zandi, Y., Fooladvand, R., Gharehaghaj, B., Shariat, A., Trung, N.T., Salih, M.N., Mehrabi, P. and Poi-Ngian, S. (2019f), "Experimental investigation on the effect of cementitious materials on fresh and mechanical properties of self-consolidating concrete", Adv. Concrete Constr., 8(3), 225-237. https://doi.org/10.12989/acc.2019.8.3.225
  133. Shariati, M., Ramli Sulong, N.H. and Arabnejad Khanouki, M.M. (2010), "Experimental and analytical study on channel shear connectors in light weight aggregate concrete", Proceedings of the 4th International Conference on Steel & Composite Structures, 21 - 23 July, 2010, Sydney, Australia, Research Publishing Services.
  134. Shariati, M., Ramli Sulong, N.H. and Arabnejad Khanouki, M.M. (2012c), "Experimental assessment of channel shear connectors under monotonic and fully reversed cyclic loading in high strength concrete", Mater. Design, 34 325-331. https://doi.org/10.1016/j.matdes.2011.08.008.
  135. Shariati, M., Ramli Sulong, N.H., Arabnejad Khanouki, M.M. and Mahoutian, M. (2011a), "Shear resistance of channel shear connectors in plain, reinforced and lightweight concrete", Scientific Res. Essays, 6(4), 977-983.
  136. Shariati, M., Ramli Sulong, N.H., Arabnejad Khanouki, M.M. and Shariati, A. (2011b), "Experimental and numerical investigations of channel shear connectors in high strength concrete", Proceedings of the 2011 world congress on advances in structural engineering and mechanics (ASEM'11+).
  137. Shariati, M., Ramli Sulong, N.H., Shariati, A. and Arabnejad Khanouki, M.M. (2015), "Behavior of V-shaped angle shear connectors: experimental and parametric study", Mater. Struct., 49(9), 3909-3926. https://doi.org/10.1617/s11527-015-0762-8.
  138. Shariati, M., Ramli Sulong, N.H., Sinaei, H., Khanouki, A., Mehdi, M. and Shafigh, P. (2011c), Behavior of channel shear connectors in normal and light weight aggregate concrete (experimental and analytical study), Advanced Materials Research, Trans Tech Publ.
  139. Shariati, M., Ramli Sulong, N.H., Suhatril, M., Shariati, A., Arabnejad Khanouki, M.M. and Sinaei, H. (2012d), "Behaviour of C-shaped angle shear connectors under monotonic and fully reversed cyclic loading: An experimental study", Mater. Design, 41, 67-73. https://doi.org/10.1016/j.matdes.2012.04.039.
  140. Shariati, M., Ramli Sulong, N. H., Suhatril, M., Shariati, A., Arabnejad Khanouki, M.M. and Sinaei, H. (2012e), "Fatigue energy dissipation and failure analysis of channel shear connector embedded in the lightweight aggregate concrete in composite bridge girders", Proceedings of the 5th International Conference on Engineering Failure Analysis, 1-4 July 2012, Hilton Hotel, The Hague, The Netherlands.
  141. Shariati, M., Ramli Sulong, N.H., Suhatril, M., Shariati, A., Arabnejad Khanouki, M.M. and Sinaei, H. (2013), "Comparison of behaviour between channel and angle shear connectors under monotonic and fully reversed cyclic loading", Constr. Build. Mater., 38, 582-593. https://doi.org/10.1016/j.conbuildmat.2012.07.050.
  142. Shariati, M., Shariati, A., Trung, N.T., Shoaei, P., Ameri, F., Bahrami, N. and Zamanabadi, S.N. (2020i), "Alkali-activated slag (AAS) paste: Correlation between durability and microstructural characteristics", Constr. Build. Mater., 120886.
  143. Shariati, M., Tahir, M.M., Wee, T.C., Shah, S., Jalali, A., Abdullahi, M.A.M. and Khorami, M. (2018), "Experimental investigations on monotonic and cyclic behavior of steel pallet rack connections", Eng. Fail. Anal., 85, 149-166. https://doi.org/10.1016/j.engfailanal.2017.08.014.
  144. Shariati, M., Tahmasbi, F., Mehrabi, P., Bahadori, A. and Toghroli, A. (2020j), "Monotonic behavior of C and L shaped angle shear connectors within steel-concrete composite beams: an experimental investigation", Steel Compos. Struct., 35(2), 237-247. https://doi.org/10.12989/scs.2020.35.2.237.
  145. Shariati, M., Toghroli, A., Jalali, A. and Ibrahim, Z. (2017), "Assessment of stiffened angle shear connector under monotonic and fully reversed cyclic loading", Proceedings of the 5th International Conference on Advances in Civil, Structural and Mechanical Engineering-CSM 2017.
  146. Shariati, M., Trung, N.T., Wakil, K., Mehrabi, P., Safa, M. and Khorami, M. (2019g), "Moment-rotation estimation of steel rack connection using extreme learning machine", Steel Compos. Struct., 31(5), 427-435. https://doi.org/10.12989/scs.2019.31.5.427.
  147. Sharma, L., Singh, R., Umrao, R., Sharma, K. and Singh, T. (2017), "Evaluating the modulus of elasticity of soil using soft computing system", Eng.with Comput., 33(3), 497-507. https://doi.org/10.1007/s00366-016-0486-6.
  148. Siddika, A., Al Mamun, M.A., Alyousef, R. and Amran, Y.M. (2019), "Strengthening of reinforced concrete beams by using fiber-reinforced polymer composites: A review", J. Build. Eng., 25, 100798. https://doi.org/10.1016/j.jobe.2019.100798.
  149. Sinaei, H., Jumaat, M.Z. and Shariati, M. (2011), "Numerical investigation on exterior reinforced concrete Beam-Column joint strengthened by composite fiber reinforced polymer (CFRP)", Int. J. Phys. Sci., 6(28), 6572-6579. https://doi.org/10.5897/IJPS11.1225.
  150. Sinaei, H., Shariati, M., Abna, A.H., Aghaei, M. and Shariati, A. (2012), "Evaluation of reinforced concrete beam behaviour using finite element analysis by ABAQUS", Scientific Res. Essays, 7(21), 2002-2009. https://doi.org/10.5897/SRE11.1393.
  151. Suhatril, M., Osman, N., Sari, P.A., Shariati, M. and Marto, A. (2019), "Significance of surface eco-protection techniques for cohesive soils slope in Selangor, Malaysia", Geotech. Geological Eng., 37(3), 2007-2014. https://doi.org/10.1007/s10706-018-0740-3.
  152. Sun, L., Li, C., Zhang, C., Liang, T. and Zhao, Z. (2019a), "The strain transfer mechanism of fiber bragg grating sensor for extra large strain monitoring", Sensors, 19(8), 1851. https://doi.org/10.3390/s19081851.
  153. Sun, L., Li, C., Zhang, C., Su, Z. and Chen, C. (2018), "Early monitoring of rebar corrosion evolution based on FBG sensor", Int. J. Struct. Stab. Dynam.,18(8), 1840001. https://doi.org/10.1142/S0219455418400011
  154. Sun, L., Su, Z., Xia, Y., Zhang, C. and Li, C. (2019b), "Superwide-range fiber bragg grating displacement sensor based on an eccentric gear: Principles and experiments", J. Aerosp. Eng., 32(1), 04018129. https://doi.org/10.1061/(ASCE)AS.1943-5525.0000960.
  155. Sun, L., Yang, Z., Jin, Q. and Yan, W. (2020a), "Effect of Axial Compression Ratio on Seismic Behavior of GFRP Reinforced Concrete Columns", Int. J. Struct. Stab. Dynam., 20(6), 2040004. https://doi.org/10.1142/S0219455420400040.
  156. Sun, Y., Wang, J., Wu, J., Shi, W., Ji, D., Wang, X. and Zhao, X. (2020b), "Constraints hindering the development of high-rise modular buildings", Appl. Sci., 10(20), 7159. https://doi.org/10.3390/app10207159.
  157. Tahmasbi, F., Maleki, S., Shariati, M., Ramli Sulong, N.H. and Tahir, M.M. (2016). "Shear Capacity of C-Shaped and L-Shaped Angle Shear Connectors", PLoS One, 11(8), e0156989. https://doi.org/10.1371/journal.pone.0156989.
  158. Talatahari, S., Singh, V. P., Alavi, A.H. and Kang, F. (2015), "Soft computing methods in civil engineering", The Scientific World J., 2015. https://doi.org/10.1155/2015/605871.
  159. Toghroli, A., Mehrabi, P., Shariati, M., Trung, N.T., Jahandari, S. and Rasekh, H. (2020), "Evaluating the use of recycled concrete aggregate and pozzolanic additives in fiber-reinforced pervious concrete with industrial and recycled fibers", Constr. Build. Mater., 252, 118997. https://doi.org/10.1016/j.conbuildmat.2020.118997.
  160. Toghroli, A., Mohammadhassani, M., Suhatril, M., Shariati, M. and Ibrahim, Z. (2014), "Prediction of shear capacity of channel shear connectors using the ANFIS model", Steel Compos. Struct., 17(5), 623-639. http://dx.doi.org/10.12989/scs.2014.17.5.623.
  161. Toghroli, A., Shariati, M., Karim, M.R. and Ibrahim, Z. (2017), "Investigation on composite polymer and silica fume-rubber aggregate pervious concrete", Proceedings of the 5th International Conference on Advances in Civil, Structural and Mechanical Engineering - CSM 2017, Zurich, Switzerland.
  162. Toghroli, A., Shariati, M., Sajedi, F., Ibrahim, Z., Koting, S., Mohamad, E.T. and Khorami, M. (2018), "A review on pavement porous concrete using recycled waste materials", Smart Struct. Syst., 22(4), 433-440. https://doi.org/10.12989/sss.2018.22.4.433.
  163. Toghroli, A., Suhatril, M., Ibrahim, Z., Safa, M., Shariati, M. and Shamshirband, S. (2016), "Potential of soft computing approach for evaluating the factors affecting the capacity of steel-concrete composite beam", J. Intel. Manufact., 1-9. https://doi.org/10.1007/s10845-016-1217-y.
  164. Trung, N.T., Shahgoli, A.F., Zandi, Y., Shariati, M., Wakil, K., Safa, M. and Khorami, M. (2019a), "Moment-rotation prediction of precast beam-to-column connections using extreme learning machine", Struct. Eng. Mech., 70(5), 639-647. https://doi.org/10.12989/sem.2019.70.5.639.
  165. Trung, N.T., Alemi, N., Haido, J.H., Shariati, M., Baradaran, S. and Yousif, S.T. (2019b), "Reduction of cement consumption by producing smart green concretes with natural zeolites", Smart Struct. Syst., 24(3), 415-425. https://doi.org/10.12989/sss.2019.24.3.415.
  166. Tsai, Y.H., Wang, J., Chien, W.T., Wei, C.Y., Wang, X. and Hsieh, S.H. (2019), "A BIM-based approach for predicting corrosion under insulation", Automat. Constr., 107, 102923. https://doi.org/10.1016/j.autcon.2019.102923.
  167. Wang, L., Peng, Y., Xie, Y., Chen, B. and Du, Y. (2021), "A new iteration regularization method for dynamic load identification of stochastic structures", Mech. Syst. Signal Pr., 156, 107586. https://doi.org/10.1016/j.ymssp.2020.107586.
  168. Wei, X., Shariati, M., Zandi, Y., Pei, S., Jin, Z., Gharachurlu, S., Abdullahi, M.M., Tahir, M.M. and Khorami, M. (2018), "Distribution of shear force in perforated shear connectors", Steel Compos. Struct., 27(3), 389-399. http://dx.doi.org/10.12989/scs.2018.27.3.389.
  169. Wu, C., Wang, X., Chen, M. and Kim, M.J. (2019). "Differential received signal strength based RFID positioning for construction equipment tracking", Adv. Eng. Inform., 42, 100960. https://doi.org/10.1016/j.aei.2019.100960.
  170. Wu, C., Wu, P., Wang, J., Jiang, R., Chen, M. and Wang, X. (2020a), "Critical review of data-driven decision-making in bridge operation and maintenance", Struct. Infrastruct. Eng., 1-24. https://doi.org/10.1080/15732479.2020.1833946.
  171. Wu, S.W., Yang, J. and Cao, G.M. (2020b), "Prediction of Charpy V-notch impact energy of low carbon steel by using shallow neural network and deep learning", Int. J. Miner. Metallurgy Mater. https://doi.org/10.1007/s12613-020-2168-z.
  172. Xiao-chen, D. (2010), "Application of neural network in the cost estimation of highway engineering", 5(11), 1762.
  173. Xiao, F. and Amirkhanian, S.N. (2009). "Effects of binders on resilient modulus of rubberized mixtures containing RAP using artificial neural network approach", J. Testing Eval., 37(2), 129-138. https://doi.org/10.1520/JTE101834.
  174. Xie, Q., Sinaei, H., Shariati, M., Khorami, M., Mohamad, E.T. and Bui, D.T. (2019), "An experimental study on the effect of CFRP on behavior of reinforce concrete beam column connections", Steel Compos. Struct., 30(5), 433-441. https://doi.org/10.12989/scs.2019.30.5.433.
  175. Xu, H.B., Zhang, C.W., Li, H., Tan, P., Ou, J.P. and Zhou, F.L. (2014a), "Active mass driver control system for suppressing wind-induced vibration of the Canton Tower", Smart Struct. Syst., 13(2), 281-303. https://doi.org/10.12989/sss.2014.13.2.281.
  176. Xu, H., Zhang, C., Li, H. and Ou, J. (2014b), "Real-time hybrid simulation approach for performance validation of structural active control systems: a linear motor actuator based active mass driver case study", Struct. Control Health Monit., 21(4), 574-589. https://doi.org/10.1002/stc.1585.
  177. Xu, S., Wang, J., Shou, W., Ngo, T., Sadick, A.M. and Wang, X. (2020), "Computer vision techniques in construction: A critical review", Archiv. Comput. Method. Eng., 1-15. https://doi.org/10.1007/s11831-020-09504-3.
  178. Yang, Y., Li, Y., Yao, J., Iglauer, S., Luquot, L., Zhang, K., Sun, H., Zhang, L., Song, W. and Wang, Z. (2020), "Dynamic pore-scale dissolution by CO2-saturated brine in carbonates: Impact of homogeneous versus fractured versus vuggy pore structure", Water Resources Res., 56(4), e2019WR026112. https://doi.org/10.1029/2019WR026112.
  179. Yang, Y., Yao, J., Wang, C., Gao, Y., Zhang, Q., An, S. and Song, W. (2015). "New pore space characterization method of shale matrix formation by considering organic and inorganic pores", J. Natural Gas Sci. Eng., 27, 496-503. https://doi.org/10.1016/j.jngse.2015.08.017.
  180. Yazdani, M., Kabirifar, K., Frimpong, B.E., Shariati, M., Mirmozaffari, M. and Boskabadi, A. (2020), "Improving construction and demolition waste collection service in an urban area using a simheuristic approach: A case study in Sydney, Australia", J. Cleaner Production, 280, 124138. https://doi.org/10.1016/j.jclepro.2020.124138.
  181. Ye, M., Jiang, J., Chen, H., Zhou, H. and Song, D. (2021), "Seismic behavior of an innovative hybrid beam-column connection for precast concrete structures", Eng. Struct., 227, 111436. https://doi.org/10.1016/j.engstruct.2020.111436.
  182. Yeh, I.C. (1995), "Construction-site layout using annealed neural network", J. Comput. Civil Eng., 9(3), 201-208. https://doi.org/10.1061/(ASCE)0887-3801(1995)9:3(201).
  183. Yeh, I.C. (1998), "Modeling of strength of high-performance concrete using artificial neural networks", Cement Concrete Res., 28(12), 1797-1808. https://doi.org/10.1061/(ASCE)0887-3801(1995)9:3(201).
  184. Zandi, Y., Shariati, M., Marto, A., Wei, X., Karaca, Z., Dao, D., Toghroli, A., Hashemi, M.H., Sedghi, Y. and Wakil, K. (2018), "Computational investigation of the comparative analysis of cylindrical barns subjected to earthquake", Steel Compos. Struct., 28(4), 439-447. https://doi.org/10.12989/scs.2018.28.4.439.
  185. Zhang, C., Alam, Z., Sun, L., Su, Z. and Samali, B. (2019a), "Fibre Bragg grating sensor-based damage response monitoring of an asymmetric reinforced concrete shear wall structure subjected to progressive seismic loads", Struct. Control Health Monit., 26(3), e2307. https://doi.org/10.1002/stc.2307.
  186. Zhang, C., Gholipour, G. and Mousavi, A.A. (2020a), "State-of-the-Art Review on Responses of RC Structures Subjected to Lateral Impact Loads", Arch. Comput. Method. E., 1-31. https://doi.org/10.1007/s11831-020-09467-5.
  187. Zhang, C. and Mousavi, A.A. (2020b), "Blast loads induced responses of RC structural members: State-of-the-art review", Compos. Part B: Eng., 108066. https://doi.org/10.1016/j.compositesb.2020.108066.
  188. Zhang, C. and Wang, H. (2019b). "Robustness of the active rotary inertia driver system for structural swing vibration control subjected to multi-type hazard excitations", Appl. Sci., 9(20), 4391. https://doi.org/10.3390/app9204391.
  189. Zhang, C. and Wang, H. (2019c), "Swing vibration control of suspended structure using active rotary inertia driver system: Parametric analysis and experimental verification", Appl. Sci., 9(15), 3144. https://doi.org/10.3390/app9153144.
  190. Zhang, W., Tang, Z., Yang, Y. and Wei, J. (2021). "Assessment of FRP-Concrete Interfacial Debonding with Coupled Mixed-Mode Cohesive Zone Model", J. Compos. Constr., 25(2), 04021002. https://doi.org/10.1061/(ASCE)CC.1943-5614.0001114.
  191. Zhang, Z., Luo, C. and Zhao, Z. (2020c), "Application of probabilistic method in maximum tsunami height prediction considering stochastic seabed topography", Natural Hazards, 104(3), 2511-2530. https://doi.org/10.1007/s11069-020-04283-3.
  192. Zheng, J., Zhang, C. and Li, A. (2020), "Experimental investigation on the mechanical properties of curved metallic plate dampers", Appl. Sci., 10(1), 269. https://doi.org/10.3390/app10010269.
  193. Zhu, L., Zhang, C., Guan, X., Uy, B., Sun, L. and Wang, B. (2018), "The multi-axial strength performance of composited structural BCW members subjected to shear forces", Steel Compos. Struct., 27(1), 75-87. https://doi.org/10.12989/scs.2018.27.1.075.
  194. Zhu, X., Lin, F., Zhang, Z., Chen, X., Huang, H., Wang, D., Tang, J., Fang, X., Fang, D. and Ho, J.C. (2020), "Enhancing Performance of a GaAs/AlGaAs/GaAs Nanowire Photodetector Based on the Two-Dimensional Electron-Hole Tube Structure", Nano Lett., 20(4), 2654-2659. https://doi.org/10.1021/acs.nanolett.0c00232.
  195. Ziaei-Nia, A., Shariati, M. and Salehabadi, E. (2018), "Dynamic mix design optimization of high-performance concrete", Steel Compos. Struct., 29(1), 67-75. ttps://doi.org/10.12989/scs.2018.29.1.067.
  196. Zuo, C., Chen, Q., Tian, L., Waller, L. and Asundi, A. (2015), "Transport of intensity phase retrieval and computational imaging for partially coherent fields: The phase space perspective", Opt. Laser. Eng., 71, 20-32. https://doi.org/10.1016/j.optlaseng.2015.03.006.
  197. Zuo, C., Sun, J., Li, J., Zhang, J., Asundi, A. and Chen, Q. (2017), "High-resolution transport-of-intensity quantitative phase microscopy with annular illumination", Scientific Reports, 7(1), 1-22. https://doi.org/10.1038/s41598-017-06837-1.
  198. Zuo, X., Dong, M., Gao, F. and Tian, S. (2020), "The modeling of the electric heating and cooling system of the integrated energy system in the coastal area", J. Coastal Res., 103, 1022-1029. https://doi.org/10.2112/SI103-213.1.