DOI QR코드

DOI QR Code

Assessing the ductility of moment frames utilizing genetic algorithm and artificial neural networks

  • Mazloom, Moosa (Department of Civil Engineering, Shahid Rajaee Teacher Training University) ;
  • Afkar, Hossein (Department of Civil Engineering, Technical and Vocational University) ;
  • Pourhaji, Pardis (Department of Civil Engineering, Iran University of Science and Technology)
  • Received : 2018.08.30
  • Accepted : 2018.12.05
  • Published : 2018.12.25

Abstract

The aim of this research is to evaluate the effects of the number of spans, height of spans, number of floors, height of floors, column to beam moment of inertia ratio, and plastic joints distance of beams from columns on the ductility of moment frames. For the facility in controlling the ductility of the frames, this paper offers a simple relation instead of complex equations of different codes. For this purpose, 500 analyzed and designed frames were randomly selected, and their ductility was calculated by the use of nonlinear static analysis. The results cleared that the column-to-beam moment of inertia ratio had the highest effect on ductility, and if this relation was more than 2.8, there would be no need for using the complex relations of codes for controlling the ductility of frames. Finally, the ductility of the most frames of this research could be estimated by using the combination of genetic algorithm and artificial neural networks properly.

References

  1. Abdi, H., Hejazi, F., Saifulnaz, R., Karim, I.A. and Jaafar, M.S. (2015), "Response modification factor for steel structure equipped with viscous damper device", Int. J. Steel Struct., 15(3), 602-622.
  2. Afkar, H. and Mazloom, M., (2011), "Review the ratio of column to beam stiffness in ductility of moment frames", Proceedings of the 1st Regional Conference on Civil Engineering, Jouybar, Iran, May.
  3. Artar, M. and Daloglu, A. (2015), "Optimum design of composite steel frames with semi-rigid connections and column bases via genetic algorithm", Steel and Composite Structures, 19(4), 1035-1053. https://doi.org/10.12989/scs.2015.19.4.1035
  4. Artar, M. and Daloglu, A. (2018), "Optimum weight design of steel space frames with semi-rigid connections using harmony search and genetic algorithms", Neural Comput. Appl., 29 (11), 1089-1100. https://doi.org/10.1007/s00521-016-2634-8
  5. Augusto, T., Albuquerque, D. and Mounir, K. (2012), "A cost optimization - based design of precast concrete floors using genetic algorithm", Automat. Constr., 22, 348-356. https://doi.org/10.1016/j.autcon.2011.09.013
  6. Baavi, O. and Salehi, M. (2010), "Genetic algorithms and optimization of composite structures", Abed, Tehran, Iran.
  7. Biabani Hamedani, K. and Kalatjari, V.R. (2018), "Structural system reliability-based optimization of truss structures using genetic algorithm", Int. J. Optimiz. Civil Eng., 8(4), 565-586.
  8. Chaekuk, N., Kwak, G.H. and Kim, S.P., (2011) "Structural damage evaluation using genetic algorithm", J. Sound Vib., 330, 2772-2783. https://doi.org/10.1016/j.jsv.2011.01.007
  9. Dalal, S.P., Dalal, P.D. and Desai, A.K. (2017), "Effect of increasing ductility factors on the performance of a steel moment resisting frame designed by the performance based plastic design method attuned with Indian code of practice", Procedia Eng., 173, 1862-1869. https://doi.org/10.1016/j.proeng.2016.12.238
  10. Deniz, D., Song, J. and Hajjar, J.F. (2018), "Energy-based sidesway collapse fragilities for ductile structural frames under earthquake", Eng. Struct., 174, 282-294. https://doi.org/10.1016/j.engstruct.2018.07.019
  11. Erbatur, F., Hasan Cebi, O. and Tutuncu, I. (2000), "Optimal design of planar and space structures with genetic algorithm", Comput. Struct., 75, 534-541.
  12. Gholipour, M. and Mazloom, M. (2018), "Seismic response analysis of mega-scale buckling-restrained bracing systems in tall buildings", Adv. Comput. Des., 3(1), 17-34. https://doi.org/10.12989/ACD.2018.3.1.017
  13. Hand, D., Mannila, H. and Padhraic, S. (2001), "Principles of Data Mining", The MIT Press, Massachusetts, New England, USA.
  14. Hayalioylv, M.S. and Deyertekin, S.O. (2006), "Minimum cost of steel frames with semi - Rigid connections and column bases via Genetic optimization", Comput. Struct., 83, 1849-1863.
  15. Journal 360 (2006), Instructions of Seismic Rehabilitation of Existing Buildings, Development of Criteria and Reduce the risk of Earthquake, Tehran, Iran.
  16. Kameshki, E. and Saka, M.P. (2001), "Genetic algorithm based optimum bracing design of non-swaying tall plane frames", J. Constr. Steel Res., 57, 1081-1097. https://doi.org/10.1016/S0143-974X(01)00017-7
  17. Kameshki, E. and Saka, M.P. (2001), "Optimum design of nonlinear steel frames with semi-rigid connections using a genetic algorithm", Comput. Struct., 79, 1593-1604. https://doi.org/10.1016/S0045-7949(01)00035-9
  18. Kameshki, E.S, and Saka, M.P. (2001), "Optimization design of non-linear steel frames with semi-rigid convection using genetic algorithm", Comput. Struct., 97, 1593-1604.
  19. Kargharian, M. (2009), "Optimization of composite roof by using genetic algorithms", Master of Science Thesis, Tafresh University, Tafresh.
  20. Kaveh, A., Ghafari, M.H. and Gholipour, Y. (2017), "Optimal seismic design of 3D steel moment frames: different ductility types", Struct. Multidiscip. O., 56(6), 1353-1368. https://doi.org/10.1007/s00158-017-1727-z
  21. Kia, S.M. (2001), "Neural Networks in MATLAB", Kian Rayane Sabz, Tehran, Tehran, Iran.
  22. Kia, S.M. (2010), "Genetic Algorithm in MATLAB", Abed, Tehran, Iran.
  23. Kim, B. and Lee, Y. (2017), "Genetic algorithms for balancing multiple variables in design practice", Adv. Comput. Des., 2, 241-256.
  24. Mazloom, M. (2013), "Incorporation of steel frames in masonry buildings for reduction of earthquake-induced life loss", KSCE J. Civil Eng., 17(4), 736-745. https://doi.org/10.1007/s12205-013-0085-7
  25. Mazloom, M. and Ahmadinejad, A. (2018), "Effect of vertical shear link on the operation of elements and response modification factor of rehabilitated concrete structures", J. Civil Environ. Eng., 47(4), 85-96.
  26. Mazloom, M. and Salehi, V. (2016), "Studying the behavior of central gusset plate connections on inverted V- braces", J. Civil Environ. Eng. (University of Tabriz), 46(2).
  27. Mazloom, M. and Salehpour, A.S. (2013), "Assessment of resistance and behavior of link beam in eccentric braced frames by finite element method", J. Civil Environ. Eng. (University of Tabriz), 44(2), 47-55.
  28. Mazloom, M., Pourhaji, P., Moosa Farash, A. and Sanati, A. (2018), "Strengthening of concrete structures with buckling braces and buckling restrained braces", Struct. Monit. Maint., 5(3), 391-416. https://doi.org/10.12989/SMM.2018.5.3.391
  29. Mirghaderi, R. (2011), "Structural Steel Design", Arkan - e Danesh, Tehran Tehran, Iran.
  30. Mishra, R., Militky, J., Gupta, N., Pachauri, R. and Behera, B.K. (2015), "Modeling and simulation of earthquake resistant 3D woven testile structural concrete composites", Compos. Part B: Eng., 81, 91-97. https://doi.org/10.1016/j.compositesb.2015.07.008
  31. Nobahari, M. and Seyedpoor, S.M. (2011), "Structure damage detection using an efficient correlation - based index and a modified genetic algorithm", Math. Comput. Model., 53, 1798-1809. https://doi.org/10.1016/j.mcm.2010.12.058
  32. Pezenshk, S., Camp, C. and Chen, D. (2000), "Design of non-linear framed structures using a genetic algorithm", ASCE Struct. J., 126, 382-388. https://doi.org/10.1061/(ASCE)0733-9445(2000)126:3(382)
  33. Phan, D., Lim, J., Tanyimboh T., Wrzesien A.M., Sha, W. and Lawson, R.M. (2005), "Optimal design of cold-formed steel portal frames for stressed-skin action using genetic algorithm", Eng. Struct., 93, 36-49.
  34. Ramires, F.B., Andrade, S.A., Vellasco, P.C. and Lima, L.R. (2012), "Genetic algorithm optimization of composite and steel endplate semi-rigid joints", Eng. Struct., 45, 177-191. https://doi.org/10.1016/j.engstruct.2012.05.051
  35. Ramires, F.B., Rodrigues, L. and Lopes, A. (2012), "Genetic algorithm optimization of composite and steel endplate semi - rigid joints", Eng. Struct., 45, 177-191. https://doi.org/10.1016/j.engstruct.2012.05.051
  36. Safari, D., Maheri, M.R. and Maheri, A., (2011), "Optimum design of steel frames using multiple - deme GA with improved reproduction operators", J. Constr. Steel Res., 67, 1232-1243. https://doi.org/10.1016/j.jcsr.2011.03.003
  37. Saka, M.P. (2000), "Optimal design of pitched roof steel frames with hunched rafter by genetic algorithm", Comput. Struct., 81, 1967-1978
  38. Standard No. 2800-05 (2015), Iranian Code of Practice for seismic Resistant Design of Buildings, Building and Housing Research Center, Tehran, Iran.
  39. Steneker, P., Wiebe, L. and Filiatrault, A. (2018), "Identifying critical locations for connection ductility in steel moment resisting frames", Proceedings of the 11th U.S. National Conference on Earthquake Engineering, Los Angeles, June.
  40. Tenth Topic of Design code (2012), Design and Implementation of Steel Buildings, Development of National Building Regulations Office (fourth Edition), Tehran, Iran.
  41. Tremblay, R., Timler, P., Bruneau, M. and Filiatrault, A. (1995), "Performance of steel structures during the January 17, 1994, Northridge earthquake", Can. J. Civil Eng., 22, 338-360. https://doi.org/10.1139/l95-046
  42. Truong, V., Nguyen, P. and Kim, S. (2017), "An efficient method for optimizing space steel frames with semi-rigid joints using practical advanced analysis and the micro-genetic algorithm", J. Constr. Steel Res., 128, 416-427. https://doi.org/10.1016/j.jcsr.2016.09.013
  43. Tsai, K.C. and Popov, E. (2005), "Experimental performance of seismic steel beam-column moment joints", ASCE Struct. J., 121, 925-931.