An evolutionary fuzzy modelling approach and comparison of different methods for shear strength prediction of high-strength concrete beams without stirrups |
Mohammadhassani, Mohammad
(Department of Structural Engineering, University of Malaya)
Nezamabadi-pour, Hossein (Department of Electrical Engineering, Shahid Bahonar University of Kerman) Suhatril, Meldi (Department of Civil Engineering, University of Malaya) shariati, Mahdi (Department of Structural Engineering, University of Malaya) |
1 | Ahmed, S.H and Lue, D.M. (1987), "Flexure-shear interaction of reinforced high-strength concrete beams", ACI Struct. J., 330-341. |
2 | Abraham, A. (2005), Rule-based expert systems, Sydenham PH, Thorn R Handbook of measuring system design, Wiley, New York. |
3 | ACI. (2008), American Concrete Institute, Detroit, Vol. ACI Committee 318. |
4 | Ahmad, S.H., Khaloo, A.R. and Poveda, A. (1986), "Shear capacity of reinforced concrete beams", ACI J., 82, 297-305. |
5 | Ali, S. (2001), Flexural and shear behavior of high-strength concrete beams, MSc Thesis, Taxila University. |
6 | Berg F.J. (1962), "Shear strength of reinforced concrete beams without web reinforcement", ACI J., 59, 1587-1599. |
7 | Bukhari, I.A. and Ahmad, S. (2007), "Evaluation of shear strength of high-strength concrete beams without Stirrups", Arabian J. Sci. Eng., 33, 321-336. |
8 | Choi, K.K., Sherif, A.G., Reda Taha, M.M. and Chung, L. (2009), "Shear strength of slender reinforced concrete beams without web reinforcement: A model using fuzzy set theory", Eng Struct., 31, 768-777. DOI ScienceOn |
9 | Clair, A. and Sinha, S. (2011), "Development and the comparison of a weighted factor and fuzzy inference model for performance prediction of metallic water pipelines", Proceedings of the Pipelines, 24-32. doi: 10.1061/41187(420)3 DOI |
10 | Elahi, A. (2003), Effect of reinforcement ratio and shear span on shear strength of high-strength concrete beams, MSc Thesis, Taxila University. |
11 | Herrera, F. and Lozano, M. (2003), "Fuzzy adaptive genetic algorithm: design, taxonomy, and future directions", Soft Comput., 7, 545-562. DOI ScienceOn |
12 | Jang, J.S.R. (1993), "ANFIS: Adaptive network based fuzzy inference system", IEEE T. Syst. Man Cy., 23(3), 665-685. DOI ScienceOn |
13 | Gopalakrishnan, K. and Ceylan, H. (2009), "Adaptive neuro-fuzzy inference system-based backcalculation approach to airport pavement structural analysis", Proceedings of the Material Design, Construction, Maintenance, and Testing of Pavements, 9-16.doi: 10.1061/41045(352)2 DOI |
14 | Hakim, S.J.S., Noorzaei, J., Jaafar, M.S., Jameel, M. and Mohammadhassani, M. (2011), "Application of artificial neural networks to predict compressive strength of high strength concrete", Int. J. Phys. Sci., 6(5), 975-981. |
15 | Kani, G.N.J. (1964), "The riddle of shear failure and its solution", ACI J., 61, 441-467. |
16 | Khan, M., Rossow, E. and Shah, S. (2000), "Shear design of high strength concrete beams", Adv. Technol. Struct. Eng., 1-9. doi: 10.1061/40492(2000)167 . |
17 | Li, L., Song, G. and Ou, J. (2013), "A nonlinear structural experiment platform with adjustable plastic hinges: analysis and vibration control", Smart Struct. Syst., 11(3), 315-329. DOI ScienceOn |
18 | Lee, J.Y. and Kim, U.Y. (2008), "Effect of longitudinal tensile reinforcement ratio and shear span-depth ratio on minimum shear reinforcement in beams", ACI Struct. J., 105(2), 134-144. |
19 | Mamdani, E. and Assilian, S. (1975), "An experiment in linguistic synthesis with a fuzzy logic controller", Int. J. Man Mach. Stud., 7(1), 1-13. DOI ScienceOn |
20 | Mashrei Mohammed, A , Nabeel, A., Y, A.T. and M.S, R. (2010), "Neural networks model and adaptive neuro-fuzzy inference system for predicting the moment capacity of ferrocement members", Eng. Struct., 32(6), 1723-1724. DOI ScienceOn |
21 | Mohammadhassani, M., Jumaat, M.Z., Chemrouk, M., Maghsoudi, A.A., Jameel, M. and Akib, S. (2011), "An experimental investigation on bending stiffness and neutral axis depth variation of over-reinforced high strength concrete beams", Nucl. Eng. Des., 241(6), 2060-2067.. DOI ScienceOn |
22 | Mohammadhassani, M., Nezamabadi-pour, H. Jumaat, M.Z., Jameel, M. and Arumugam, A.M.S. (2013c), "Application of artificial neural networks (ANNs) and linear regressions (LR) to predict the deflection of concrete deep beams", Comput. Concrete, 11(3), 237-252. DOI ScienceOn |
23 | Mohammadhassani, M., Nezamabadi-Pour, H., Jumaat, M.Z., Jameel, M., Hakim, S.J.S. and Zargar, M. (2013), "Application of the ANFIS model in deflection prediction of concrete deep beams", Struct. Eng. Mech., 45(3), 323-336. DOI ScienceOn |
24 | Mohammadhassani, M., Nezamabadi-pour, H., Suhatril, M. and Shariati, M. (2013a), "Identification of a suitable ANN architecture in predicting strain in tie section of concrete deep beams", Struct. Eng. Mech., 46(6), 853-868. DOI: http://dx.doi.org/10.12989/sem.2013.46.6.853 과학기술학회마을 DOI ScienceOn |
25 | Mohammadhassani, M., Nezamabadi-pour, H., Jameel, M. and Karim, G. (2013b), "Applications of the ANFIS and LR in the prediction of strain in tie section of concrete deep beams", Comput. Concrete, 12(3), 243-259. DOI: http://dx.doi.org/10.12989/cac.2013.12.3.243 과학기술학회마을 DOI ScienceOn |
26 | Sun, B. and Qiu, Y. (2010), "Fuzzy expert system for flexible pavements crack performance prediction", ICLEM 2010, 2415-2421. doi: 10.1061/41139(387)337 DOI |
27 | Ren, L., Xiang, X. and Ni, J. (2011). "Forecast modeling of monthly runoff with adaptive neural fuzzy inference system and wavelet analysis", J. Hydrol. Eng., 10.1061/(ASCE)HE.1943-5584.0000514 (Sep. 28, 2011). DOI |
28 | Shiri, J., Makarynskyy, O., Kisi, O., Dierickx, W. and Fard, A. (2011). "Prediction of short-term operational water levels using an adaptive neuro-fuzzy inference system", J. Waterw. Port. C. Ocean Eng., 137(6), 344-354. Technical notes. DOI |
29 | Reddy, L.S., Ramana Rao, .N.V and Gunneswara Rao, T.D. (2010), "Shear resistance of high strength concrete beams without shear reinforcement", Int J. Civil. Struct. Eng., 1, 101-113. |
30 | Takagi, T. and Sugeno, M. (1985), "Fuzzy identification of systems and its applications to modeling and control", IEEE T. Syst. Man. Cy., 35(1), 116-132. |
31 | Yang, K.H., Chung, H.S. and Ashour, A.F. (2007), "Influence of section depth on the structural behaviour of reinforced concrete continuous deep beams", Mag. Concrete Res., 59(8), 575-586. DOI ScienceOn |
32 | Voo, Y., Poon, W. and Foster, S. (2010), "Shear strength of steel fiber-reinforced ultrahigh- performance concrete beams without stirrups", J. Struct. Eng. - ASCE, 136(11), 1393-1400. DOI ScienceOn |
33 | Wafa Faisal, F. and AShour Samir, A. (1994), "Shear behavior of reinforced high-strength concrete beams without shear reinforcement", Eng. J. Qatar Univ., 7, 91-113. |
34 | Yaqub, M. (2002), Shear behavior of high-strength concrete beams without shear reinforcement, MSc Thesis, Taxila University. |
35 | Zeidan, M., Barakat, M., Mahmoud, Z. and Khalifa, A. (2011), "Evaluation of concrete shear strength for FRP reinforced beams", Proceedings of the Structures Congress, 1816-1826. doi: 10.1061/41171(401)158 DOI |
36 | Zadeh, L.A. (1965), "Fuzzy sets", Inform. Control, 8(3), 338-353. DOI |