Smart Structures and Systems

  • 제26권1호
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  • Pages.103-115
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  • 2020
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Investigation on the monotonic behavior of the steel rack upright-beam column connection

  • Cao, Yan (School of Mechatronic Engineering, Xi'an Technological University) ;
  • Alyousef, Rayed (Department of Civil Engineering, College of Engineering, Prince Sattam bin Abdulaziz University) ;
  • Jermsittiparsert, Kittisak (Department for Management of Science and Technology Development, Ton Duc Thang University) ;
  • Ho, Lanh Si (Institute of Research and Development, Duy Tan University) ;
  • Alaskar, Abdulaziz (Department of Civil Engineering, College of Engineering, King Saud University) ;
  • Alabduljabbar, Hisham (Department of Civil Engineering, College of Engineering, Prince Sattam bin Abdulaziz University) ;
  • Alrshoudi, Fahed (Department of Civil Engineering, College of Engineering, King Saud University) ;
  • Mohamed, Abdeliazim Mustafa (Department of Civil Engineering, College of Engineering, Prince Sattam bin Abdulaziz University)
  • 투고 : 2019.11.09
  • 심사 : 2020.02.14
  • 발행 : 2020.07.25
⟨ 이전 논문 다음 논문 ⟩

초록

The cold-formed steel storage racks are extensively employed in various industries applications such as storing products in reliable places and storehouses before distribution to the market. Racking systems lose their stability under lateral loads, such as seismic actions due to the slenderness of elements and low ductility. This justifies a need for more investigation on methods to improve their behavior and increase their capacity to survive medium to severe loads. A standardized connection could be obtained through investigation on the moment resistance, value of original rotational stiffness, ductility, and failure mode of the connection. A total of six monotonic tests were carried out to determine the behavior of the connection of straight 2.0 mm, and 2.6 mm thickness connects to 5 lug end connectors. Then, the obtained results are benched mark as the original data. Furthermore, an extreme learning machine (ELM) technique has been employed to verify and predict both moment and rotation results. Out of 4 connections, increase the ultimate moment resistance of connection by 13% and 18% for 2.0 mm and 2.6 mm upright connection, respectively.

키워드

과제정보

This paper is supported by Shaanxi Innovation Capability Support Plan (Grant: 2018TD-036), Shaanxi Natural Science Basic Research Project (Grant: S2019-JC-YB-2897), and Research Project of Graduate Education and Teaching Reform of Xi'an Technological University in 2017.

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  79. Shariati, M., Ramli Sulong, N.H., Shariati, A. and Arabnejad Khanouki, M.M. (2015b), "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
  80. Shariati, M., Sulong, N.R., Shariati, A. and Kueh, A. (2016), "Comparative performance of channel and angle shear connectors in high strength concrete composites: An experimental study", Constr. Build. Mater., 120, 382-392. https://doi.org/10.1016/j.conbuildmat.2016.05.102
  81. 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, Zurich, Switzerland, September.
  82. 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
  83. Shariati, M., Mafipour, M.S., Mehrabi, P., Bahadori, A., Zandi, Y., Salih, M.N., Nguyen, H., Dou, J., Song, X. and Poi-Ngian, S. (2019a), "Application of a hybrid artificial neural networkparticle 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
  84. 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. (2019b), "Application of Extreme Learning Machine (ELM) and Genetic Programming (GP) to design steel-concrete composite floor systems at elevated temperatures", Steel Compos. Struct., Int. J., 33(3), 319-332. https://doi.org/10.12989/scs.2019.33.3.319
  85. Shariati, M., Rafie, S., Zandi, Y., Fooladvand, R., Gharehaghaj, B., Mehrabi, P., Shariat, A., Trung, N.T., Salih, M.N. and Poi-Ngian, S. (2019c), "Experimental investigation on the effect of cementitious materials on fresh and mechanical properties of self-consolidating concrete", Adv. Concrete Constr., Int. J., 8(3), 225-237. https://doi.org/10.12989/acc.2019.8.3.225
  86. Shariati, M., Trung, N.-T., Wakil, K., Mehrabi, P., Safa, M. and Khorami, M. (2019d), "Moment-rotation estimation of steel rack connection using extreme learning machine", Steel Compos. Struct., Int. J., 31(5), 427-435. https://doi.org/10.12989/scs.2019.31.5.427
  87. Shariati, M., Trung, N.T., Wakil, K., Mehrabi, P., Safa, M. and Khorami, M. (2019e), "Moment-rotation estimation of steel rack connection using extreme learning machine", Steel Compos. Struct., Int. J., 31(5), 427-435. https://doi.org/10.12989/scs.2019.31.5.427
  88. Shariati, M., Faegh, S.S., Mehrabi, P., Bahavarnia, S., Zandi, Y., Masoom, D.R., Toghroli, A., Trung, N.T. and Salih, M.N. (2019f), "Numerical study on the structural performance of corrugated low yield point steel plate shear walls with circular openings", Steel Compos. Struct., Int. J., 33(4), 569-581. https://doi.org/10.12989/scs.2019.33.4.569
  89. Shariati, M., Heirati, A., Zandi, Y., Laka, H., Toghroli, A., Kianmehr, P., Safa, M., Salih, M.N. and Poi-Ngian, S. (2019g), "Application of waste tire rubber aggregate in porous concrete", Smart Struct. Syst., Int. J., 24(4), 553-566. https://doi.org/10.12989/sss.2019.24.4.553
  90. Shariati, A., Ebrahimi, F., Karimiasl, M., Vinyas, M. and Toghroli, A. (2020a), "On transient hygrothermal vibration of embedded viscoelastic flexoelectric/piezoelectric nanobeams under magnetic loading", Adv. Nano Res., Int. J., 8(1), 49-58. https://doi.org/10.12989/anr.2020.8.1.049
  91. Shariati, A., Hosseini, S.H.S., Bayrami, S.S., Ebrahimi, F. and Toghroli, A. (2020b), "Effect of residual surface stress on parametrically excited nonlinear dynamics and instability of viscoelastic piezoelectric nanoelectromechanical resonators", Eng. Comput., 1-16. https://doi.org/10.1007/s00366-019-00916-9
  92. Shariati, M., Ghorbani, M., Naghipour, M., Alinejad, N. and Toghroli, A. (2020c), "The effect of RBS connection on energy absorption in tall buildings with braced tube frame system", Steel Compos. Struct., Int. J., 34(3), 393-407. https://doi.org/10.12989/scs.2020.34.3.393
  93. Shariati, M., Mafipour, M.S., Haido, J.H., Yousif, S.T., Toghroli, A., Trung, N.T. and Shariati, A. (2020d), "Identification of the most influencing parameters on the properties of corroded concrete beams using an Adaptive Neuro-Fuzzy Inference System (ANFIS)", Steel Compos. Struct., Int. J., 34(1), 155-170. https://doi.org/10.12989/scs.2020.34.1.155
  94. Shariati, M., Mafipour, M.S., Mehrabi, P., Shariati, A., Toghroli, A., Trung, N.T. and Salih, M.N.A. (2020e), "A novel approach to predict shear strength of tilted angle connectors using artificial intelligence techniques", Eng. Comput., 1-21. https://doi.org/10.1007/s00366-019-00930-x
  95. Shariati, M., Mahmoudi Azar, S., Arjomand, M.-A., Salmani Tehrani, H., Daei, M. and Safa, M. (2020f), "Evaluating the impacts of using piles and geosynthetics in reducing the settlement of fine-grained soils under static load", Geomech. Eng., Int. J., 20(2), 87-101. https://doi.org/10.12989/gae.2020.19.6.473
  96. Shariati, M., Naghipour, M., Yousofizinsaz, G., Toghroli, A. and Pahlavannejad Tabarestani, N. (2020g), "Numerical study on the axial compressive behavior of built-up CFT columns considering different welding lines", Steel Compos. Struct., Int. J., 34(3), 377-391. https://doi.org/10.12989/scs.2020.34.3.377
  97. Shariati, M., Mafipour, M.S., Ghahremani, B., Azarhomayun, F., Ahmadi, M., Trung, N.T. and Shariati, A. (2020h), "A novel hybrid extreme learning machine-grey wolf optimizer (ELMGWO) model to predict compressive strength of concrete with partial replacements for cement", Eng. Comput. https://doi.org/10.1007/s00366-020-01081-0
  98. Shariati, M., Mafipour, M.S., Mehrabi, P., Ahmadi, M., Wakil, K., Nguyen-Thoi, T. and Toghroli, A. (2020i), "Prediction of concrete strength in presence of furnace slag and fly ash using Hybrid ANN-GA (Artificial Neural Network-Genetic Algorithm)", Smart Struct. Syst., Int. J., 25(2), 183-195. https://doi.org/10.12989/sss.2020.25.2.183
  99. 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
  100. 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", Scientif. Res. Essays, 7(21), 2002-2009. https://doi.org/10.5897/SRE11.1393
  101. 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. Geol. Eng., 37(3), 2007-2014. https://doi.org/10.1007/s10706-018-0740-3
  102. Taheri, E., Firouzianhaji, A., Usefi, N., Mehrabi, P., Ronagh, H. and Samali, B. (2019), "Investigation of a Method for Strengthening Perforated Cold-Formed Steel Profiles under Compression Loads", Appl. Sci., 9(23), 5085. https://doi.org/10.3390/app9235085
  103. 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
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  105. Toghroli, A., Mohammadhassani, M., Suhatril, M., Shariati, M. and Ibrahim, Z. (2014a), "Prediction of shear capacity of channel shear connectors using the ANFIS model", Steel Compos. Struct., Int. J., 17(5), 623-639. http://dx.doi.org/10.12989/scs.2014.17.5.623
  106. Toghroli, A., Mohammadhassani, M., Suhatril, M., Shariati, M. and Ibrahim, Z. (2014b), "Prediction of shear capacity of channel shear connectors using the ANFIS model", Steel Compos Struct., Int. J., 17(5), 623-639. https://doi.org/10.12989/scs.2014.17.5.623
  107. 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.
  108. Toghroli, A., Darvishmoghaddam, E., Zandi, Y., Parvan, M., Safa, M., Abdullahi, M.A.M., Heydari, A., Wakil, K., Gebreel, S.A. and Khorami, M. (2018a), "Evaluation of the parameters affecting the Schmidt rebound hammer reading using ANFIS method", Comput. Concrete, Int. J., 21(5), 525-530. https://doi.org/10.12989/cac.2018.21.5.525
  109. Toghroli, A., Shariati, M., Sajedi, F., Ibrahim, Z., Koting, S., Mohamad, E.T. and Khorami, M. (2018b), "A review on pavement porous concrete using recycled waste materials", Smart Struct. Syst., Int. J., 22(4), 433-440. https://doi.org/10.12989/sss.2018.22.4.433
  110. Toghroli, A., Suhatril, M., Ibrahim, Z., Safa, M., Shariati, M. and Shamshirband, S. (2018c), "Potential of soft computing approach for evaluating the factors affecting the capacity of steel-concrete composite beam", J. Intel. Manuf., 29(8), 1793-1801. https://doi.org/10.1007/s10845-016-1217-y
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  112. 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., Int. J., 24(3), 415-425. https://doi.org/10.12989/sss.2019.24.3.415
  113. 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., Int. J., 27(3), 389-399. http://dx.doi.org/10.12989/scs.2018.27.3.389
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  115. Xu, C., Zhang, X., Haido, J.H., Mehrabi, P., Shariati, A., Mohamad, E.T., Hoang, N. and Wakil, K. (2019), "Using genetic algorithms method for the paramount design of reinforced concrete structures", Struct. Eng. Mech., Int. J., 71(5), 503-513. https://doi.org/10.12989/sem.2019.71.5.503
  116. 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., Int. J., 28(4), 439-447. https://doi.org/10.12989/scs.2018.28.4.439
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