Smart Structures and Systems

  • 제22권3호
  • /
  • Pages.335-340
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  • 2018
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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

Application of ANFIS technique on performance of C and L shaped angle shear connectors

  • Sedghi, Yadollah (Department of Civil Engineering, Qeshm International Branch, Islamic Azad University) ;
  • Zandi, Yousef (Department of Civil Engineering, Tabriz Branch, Islamic Azad University) ;
  • Shariati, Mahdi (Faculty of Civil Engineering, University of Tabriz) ;
  • Ahmadi, Ebrahim (Department of Civil Engineering, Qeshm International Branch, Islamic Azad University) ;
  • Azar, Vahid Moghimi (Sofian Branch, Islamic Azad University) ;
  • Toghroli, Ali (Department of Civil Engineering, University of Malaya) ;
  • Safa, Maryam (Department of Civil Engineering, University of Malaya) ;
  • Mohamad, Edy Tonnizam (Centre of Tropical Geoengineering (GEOTROPIK), Faculty of Civil Engineering, Universiti Teknologi Malaysia) ;
  • Khorami, Majid (Facultad de Arquitectura y Urbanismo, Universidad Tecnologica Equinoccial, Calle Rumipamba s/n y Bourgeois) ;
  • Wakil, Karzan (University of Human Development)
  • 투고 : 2016.06.04
  • 심사 : 2018.08.17
  • 발행 : 2018.09.25
⟨ 이전 논문 다음 논문 ⟩

초록

The behavior of concrete slabs in composite beam with C and L shaped angle shear connectors has been studied in this paper. These two types of angle shear connectors' instalment have been commonly utilized. In this study, the finite element (FE) analysis and soft computing method have been used both to present the shear connectors' push out tests and providing data results used later in soft computing method. The current study has been performed to present the aforementioned shear connectors' behavior based on the variable factors aiming the study of diverse factors' effects on C and L shaped angle in shear connectors. ANFIS (Adaptive Neuro Fuzzy Inference System), has been manipulated in providing the effective parameters in shear strength forecasting by providing input-data comprising: height, length, thickness of shear connectors together with concrete strength and the respective slip of shear connectors. ANFIS has been also used to identify the predominant parameters influencing the shear strength forecast in C and L formed angle shear connectors.

키워드

참고문헌

  1. Al-Ghandoor, A. and Samhouri, M. (2009), "Electricity consumption in the industrial sector of Jordan: application of multivariate linear regression and adaptive neuro-fuzzy techniques", JJMIE, 3(1).
  2. Andalib, Z. et al. (2018), "Numerical evaluation of ductility and energy absorption of steel rings constructed from plates", Eng. Struct., 169, 94-106. https://doi.org/10.1016/j.engstruct.2018.05.034
  3. Awal, A.A. et al. (2015), "Effect of cooling regime on the residual performance of high-volume palm oil fuel ash concrete exposed to high temperatures", Constr. Build. Mater., 98, 875-883. https://doi.org/10.1016/j.conbuildmat.2015.09.001
  4. Bazzaz, M. et al. (2015), "Numerical comparison of the seismic performance of steel rings in off-centre bracing system and diagonal bracing system", Steel Compos. Struct., 19(4), 917-937. https://doi.org/10.12989/scs.2015.19.4.917
  5. Bazzaz, M. et al. (2012), "Evaluation of the seismic performance of off-centre bracing system with ductile element in steel frames", Steel Compos. Struct., 12(5), 445-464. https://doi.org/10.12989/scs.2012.12.5.445
  6. Chen, A. et al. (2015), "Experimental investigation and finite element analysis of flexural behavior of insulated concrete sandwich panels with FRP plate shear connectors", Eng. Struct., 98, 95-108. https://doi.org/10.1016/j.engstruct.2015.04.022
  7. Daie, M. et al. (2011), "A new finite element investigation on prebent steel strips as damper for vibration control", Int. J. Phys. Sci., 6(36), 8044-8050.
  8. Ekici, B.B. and Aksoy, U.T. (2011), "Prediction of building energy needs in early stage of design by using ANFIS", Expert Syst. Appl., 38(5), 5352-5358. https://doi.org/10.1016/j.eswa.2010.10.021
  9. Fanaie, N. et al. (2016), "Theoretical assessment of the behavior of cable bracing system with central steel cylinder", Adv. Struct. Eng., 19(3), 463-472. https://doi.org/10.1177/1369433216630052
  10. Fanaie, N. et al. (2012), "Theoretical assessment of wire rope bracing system with soft central cylinder", Proceedings of the 15th world conference on earthquake engineering, Month.
  11. Fanaie, N. and Dizaj, E.A. (2014), "Response modification factor of the frames braced with reduced yielding segment BRB", Struct. Eng. Mech., 50(1), 1-17. https://doi.org/10.12989/sem.2014.50.1.001
  12. Fanaie, N. et al. (2015), "Analytical study of composite beams with different arrangements of channel shear connectors", Steel Compos. Struct., 19(2), 485-501. https://doi.org/10.12989/scs.2015.19.2.485
  13. 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
  14. Hosseinpour, E. et al. (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
  15. Inal, M. (2008), "Determination of dielectric properties of insulator materials by means of ANFIS: a comparative study", J. Mater. Process. Tech., 195(1), 34-43. https://doi.org/10.1016/j.jmatprotec.2007.04.106
  16. Jalali, A. et al. (2012), "Seismic performance of structures with pre-bent strips as a damper", Int. J. Phys. Sci., 7(26), 4061-4072.
  17. Jang, J.S. (1993), "ANFIS: Adaptive-network-based fuzzy inference system", IEEE T. Syst. Man Cy., 23(3), 665-685. https://doi.org/10.1109/21.256541
  18. Khajeh, A. et al. (2009), "Application of adaptive neuro-fuzzy inference system for solubility prediction of carbon dioxide in polymers", Expert Syst. Appl., 36(3), 5728-5732. https://doi.org/10.1016/j.eswa.2008.06.051
  19. Khalilian, M. (2013), The assessment of shear capacity of angle shear connectors Master Sharif University of Technology.
  20. Khorami, M. et al. (2017a), "Seismic performance evaluation of buckling restrained braced frames (BRBF) using incremental nonlinear dynamic analysis method (IDA)", Earthq. Struct., 13(6), 531-538. https://doi.org/10.12989/EAS.2017.13.6.531
  21. Khorami, M. et al. (2017b), "Evaluation of the seismic performance of special moment frames using incremental nonlinear dynamic analysis", Struct. Eng. Mech., 63(2): 259-268 https://doi.org/10.12989/SEM.2017.63.2.259
  22. Khorramian, K. et al. (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
  23. Khorramian, K. et al. (2015), "Behavior of tilted angle shear connectors", PLoS ONE, 10(12), e0144288. https://doi.org/10.1371/journal.pone.0144288
  24. Khorramian, K. et al. (2016), "Behavior of tilted angle shear connectors (vol 10, e0144288, 2015)", PLOS ONE, 11(2).
  25. Kurnaz, S. et al. (2010), "Adaptive neuro-fuzzy inference system based autonomous flight control of unmanned air vehicles", Expert Syst. Appl., 37(2), 1229-1234. https://doi.org/10.1016/j.eswa.2009.06.009
  26. Lam, D. and El-Lobody, E. (2005), "Behavior of headed stud shear connectors in composite beam", J. Struct. Eng., 131, 96. https://doi.org/10.1061/(ASCE)0733-9445(2005)131:1(96)
  27. Lo, S.P. and Lin, Y.Y. (2005), "The prediction of wafer surface non-uniformity using FEM and ANFIS in the chemical mechanical polishing process", J. Mater. Process. Technol., 168(2), 250-257. https://doi.org/10.1016/j.jmatprotec.2005.01.010
  28. Majdi, Y. et al. (2014), "Finite element analysis of new composite floors having cold-formed steel and concrete slab", Eng. Struct., 77, 65-83. https://doi.org/10.1016/j.engstruct.2014.07.030
  29. Maleki, S. and Bagheri, S. (2008), "Behavior of channel shear connectors, Part II: Analytical study", J. Constr. Steel Res., 64 1341-1348. https://doi.org/10.1016/j.jcsr.2008.01.006
  30. Maleki, S. and Mahoutian, M. (2009), "Experimental and analytical study on channel shear connectors in fiber-reinforced concrete", J. Constr. Steel Res., 65(8-9), 1787-1793. https://doi.org/10.1016/j.jcsr.2009.04.008
  31. Mansouri, I. et al. (2016), "Strength prediction of rotary brace damper using MLR and MARS", Struct. Eng. Mech., 60(3): 471-488. https://doi.org/10.12989/sem.2016.60.3.471
  32. Mansouri, I. et al. (2017), "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. Intell. Manuf.,: 1-11.
  33. Mohammadhassani, M. et al. (2013a), "Applications of the ANFIS and LR in the prediction of strain in tie section of concrete deep beams", Comput. Concrete, 12(3), 243-259. https://doi.org/10.12989/cac.2013.12.3.243
  34. Mohammadhassani, M. et al. (2013b), "Application of the ANFIS model in deflection prediction of concrete deep beam", Struct. Eng. Mech., 45(3), 319-332.
  35. Mohammadhassani, M. et al. (2015), "Fuzzy modelling approach for shear strength prediction of RC deep beams", Smart Struct. Syst., 16(3), 497-519. https://doi.org/10.12989/sss.2015.16.3.497
  36. Nakajima, A. et al. (2003), "Cyclic shear force-slip behavior of studs under alternating and pulsating load condition", Eng. Struct., 25(5), 537-545. https://doi.org/10.1016/S0141-0296(02)00165-7
  37. Nasrollahi, S. et al. (2018), "Investigation of pipe shear connectors using push out test", Steel Compos. Struct., 27(5), 537-543. https://doi.org/10.12989/SCS.2018.27.5.537
  38. Petkovic, D. and Cojbasic, Z. (2012), "Adaptive neuro-fuzzy estimation of autonomic nervous system parameters effect on heart rate variability", Neural Comput. Appl., 21(8), 2065-2070. https://doi.org/10.1007/s00521-011-0629-z
  39. Petkovic, D. et al. (2012a), "Adaptive neuro-fuzzy estimation of conductive silicone rubber mechanical properties", Expert Syst. Appl., 39(10), 9477-9482. https://doi.org/10.1016/j.eswa.2012.02.111
  40. Petkovic, D. et al. (2012b), "Adaptive neuro fuzzy controller for adaptive compliant robotic gripper", Expert Syst. Appl., 39(18), 13295-13304. https://doi.org/10.1016/j.eswa.2012.05.072
  41. Safa, M. et al. (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
  42. Shah, S. et al. (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
  43. Shahabi, S. et al. (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://doi.org/10.12989/scs.2016.20.3.651
  44. Shahabi, S. et al. (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
  45. Shariati, A. et al. (2012a), "Investigation of channel shear connectors for composite concrete and steel T-beam", Int. J. Phys. Sci., 7(11), 1828-1831.
  46. Shariati, A. et al. (2012b), "Various types of shear connectors in composite structures: A review", Int. J. Phys. Sci., 7(22), 2876-2890.
  47. Shariati, A. et al. (2014), "Experimental assessment of angle shear connectors under monotonic and fully reversed cyclic loading in high strength concrete", Constr. Build. Mater., 52, 276-283. https://doi.org/10.1016/j.conbuildmat.2013.11.036
  48. Shariati, M. (2013), Behaviour of C-shaped Shear Connectors in Stell Concrete Composite Beams, Jabatan Kejuruteraan Awam, Fakulti Kejuruteraan, Universiti Malaya.
  49. Shariati, M. et al. (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, Month.
  50. Shariati, M. et al. (2012c), "Experimental assessment of channel shear connectors under monotonic and fully reversed cyclic loading in high strength concrete", Mater. Des., 34, 325-331. https://doi.org/10.1016/j.matdes.2011.08.008
  51. Shariati, M. et al. (2011a), "Shear resistance of channel shear connectors in plain, reinforced and lightweight concrete", Scientific Res. Essays, 6(4), 977-983.
  52. Shariati, M. et al. (2015), "Behavior of V-shaped angle shear connectors: experimental and parametric study", Mater. Struct., 1-18.
  53. Shariati, M. et al. (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
  54. Shariati, M. et al. (2011b), "Behavior of Channel Shear Connectors in Normal and Light Weight Aggregate Concrete (Experimental and Analytical Study)", Adv. Mater. Res., 168, 2303-2307.
  55. Shariati, M. et al. (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
  56. Shariati, M. et al. (2012d), "Behaviour of C-shaped angle shear connectors under monotonic and fully reversed cyclic loading: An experimental study", Mater. Des., 41, 67-73. https://doi.org/10.1016/j.matdes.2012.04.039
  57. Shariati, M. et al. (2014),"Fatigue energy dissipation and failure analysis of angle shear connectors embedded in high strength concrete ", Eng. Fail. Anal., 41, 124-134. https://doi.org/10.1016/j.engfailanal.2014.02.017
  58. Soty, R. and Shima, H. (2013), "Formulation for shear force-relative displacement relationship of L-shape shear connector in steel-concrete composite structures", Eng. Struct., 46, 581-592. https://doi.org/10.1016/j.engstruct.2012.09.003
  59. Tahmasbi, F. et al. (2016), "Shear capacity of C-shaped and Lshaped angle shear connectors", PloS one, 11(8), e0156989. https://doi.org/10.1371/journal.pone.0156989
  60. Tian, L. and Collins, C. (2005), "Adaptive neuro-fuzzy control of a flexible manipulator", Mechatronics, 15(10), 1305-1320. https://doi.org/10.1016/j.mechatronics.2005.02.001
  61. Toghroli, A. et al. (2018), "Evaluation of the parameters affecting the Schmidt rebound hammer reading using ANFIS method", Comput. Concrete, 21(5), 525-530. https://doi.org/10.12989/CAC.2018.21.5.525
  62. Toghroli, A. et al. (2016), "Potential of soft computing approach for evaluating the factors affecting the capacity of steel-concrete composite beam", J. Intell. Manuf., 1-9.
  63. Toghroli, A. et al. (2014), "Prediction of shear capacity of channel shear connectors using the ANFIS model", Steel Compos. Struct., 17(5), 623-639. https://doi.org/10.12989/scs.2014.17.5.623
  64. Wang, A.J. and Chung, K.F. (2008), "Advanced finite element modelling of perforated composite beams with flexible shear connectors", Eng. Struct., 30, 2724-2738. https://doi.org/10.1016/j.engstruct.2008.03.001
  65. Wei, X. et al. (2018), "Distribution of shear force in perforated shear connectors", Steel Compos. Struct., 27(3), 389-399. https://doi.org/10.12989/SCS.2018.27.3.389

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