Browse > Article
http://dx.doi.org/10.12989/eas.2012.3.5.695

Seismic induced damageability evaluation of steel buildings: a Fuzzy-TOPSIS method  

Shahriar, Anjuman (Okanagan School of Engineering, The University of British Columbia)
Modirzadeh, Mehdi (Okanagan School of Engineering, The University of British Columbia)
Sadiq, Rehan (Okanagan School of Engineering, The University of British Columbia)
Tesfamariam, Solomon (Okanagan School of Engineering, The University of British Columbia)
Publication Information
Earthquakes and Structures / v.3, no.5, 2012 , pp. 695-717 More about this Journal
Abstract
Seismic resiliency of new buildings has improved over the years due to better seismic codes and design practices. However, there is still large number of vulnerable and seismically deficient buildings. It is not economically feasible to retrofit and upgrade all vulnerable buildings, thus there is a need for rapid screening tool. Many factors contribute to the damageability of buildings; this makes seismic evaluation a complex multi-criteria decision making problem. Many of these factors are noncommensurable and involve subjectivity in evaluation that highlights the use of fuzzy-based method. In this paper, a risk-based framework earlier proposed by Tesfamariam and Saatcioglu (2008a) is extended using Fuzzy-TOPSIS method and applied to develop an evaluation and ranking scheme for steel buildings. The ranking is based on damageability that can help decision makers interpret the results and take appropriate decision actions. Finally, the application of conceptual model is demonstrated through a case study of 1994 Northridge earthquake data on seismic damage of steel buildings.
Keywords
seismic evaluation; Fuzzy-TOPSIS; hierarchical structure; linguistic variables; Fuzzy sets; damageability; multi-criteria decision-making (MCDM);
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Tesfamariam, S. and Liu, Z. (2010), "Earthquake induced damage classification for reinforced concrete buildings", Struct. Saf., 32(2), 154-164.   DOI   ScienceOn
2 Triantaphyllou, E. and Lin, C.T. (1996), "Development and evaluation of five fuzzy multi-Attribute decisionmaking methods", Int. J. Approx. Reason., 14(4), 281-310.   DOI   ScienceOn
3 Tsaur, S.H., Chang, T.Y. and Yen, C.H. (2002), "The evaluation of airline service quality by fuzzy MCDM", Tourism. Manage., 23(2), 107-115.   DOI   ScienceOn
4 Wang, J.W., Cheng, C.H. and Cheng, H.K. (2009), "Fuzzy hierarchical TOPSIS for supplier selection", Appl. Soft. Comput., 9(1), 377-386.   DOI   ScienceOn
5 Wang, Y.M. and Elhag, T. (2006), "Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment", Expert. Syst. Appl., 31(2), 309-319.   DOI   ScienceOn
6 Yang, T. and Hung, C.C. (2007), "Multiple attribute decision making methods for plant layout design prediction problem", Robot. Cim.-Int. Manuf., 23(1), 126-137.   DOI   ScienceOn
7 Zadeh, L.A. (1965), "Fuzzy sets", Infor Cont, 8, 338-353.   DOI
8 Zhang, G. and Lu, J. (2003), "An integrated group decision-making method dealing with fuzzy preferences for alternatives and individual judgments for selection criteria", Group. Decis. Negot., 12(6), 501-515.   DOI
9 Zhao, R. and Govind, R. (1991), "Algebraic characteristics of extended fuzzy numbers", Inform. Sciences, 54(1991), 103-130.   DOI
10 Zwick, R., Carlstein, E. and Budescu, D.V. (1987), "Measures of similarity among fuzzy concepts: A comparative analysis", Int. J. Approx Reason., 1(2), 221-242.   DOI   ScienceOn
11 ASCE. (1998), Handbook for seismic evaluation of buildings - A prestandard, Prepared by the American Society of Civil Engineers, published by the Federal Emergency Management Agency, (FEMA 310 report), Washington, D.C.
12 ATC. (2001), Database on the performance of structures near strong-motion recordings: 1994 Northridge, California, Earthquake, Applied Technology Council, ATC-38 Report, Redwood City, California.
13 ATC. (2002), Rapid visual screening of buildings for potential seismic hazard: A handbook (Second edition), prepared by the Applied Technology Council, published by the Federal Emergency Management Agency, (FEMA 154 report), Washington, D.C.
14 ATC. (1985), Earthquake damage evaluation data for California, Applied Technology Council, ATC-13 Report, Redwood City, California.
15 Boissonnade, A.C. and Shah, H.C. (1985), Use of patter recognition and fuzzy sets in seismic risk analysis, Report 67, Stanford, California: John A. Blume Earthquake Engineering Center.
16 Carlsson, C. and Fullr, R. (1996), "Fuzzy multiple criteria decision making: recent developments", Fuzzy Set. Syst, 78(2), 139-153.   DOI   ScienceOn
17 Chang, H.Y., Lin, C.C. J., Lin, K.C. and Chen, J.Y. (2009), "Role of accidental torsion in seismic reliability assessment for steel buildings", Steel Compos. Struct., 9(5), 457-472.   DOI
18 Chen, S.H. (1985), "Ranking fuzzy numbers with maximizing set and minimizing set", Fuzzy Set. Syst, 17(2), 113-129.   DOI
19 Chen, S.J. and Hwang, C.L. (1992), Fuzzy multiple attribute decision making methods and applications, Springer-Verlag, Berlin.
20 Chen, S.M. and Lee, L.W. (2010), "Fuzzy multiple attributes group decision-making based on the interval Type- 2 TOPSIS method", Expert Syst. Appl., 37(4), 2790-2798.   DOI   ScienceOn
21 Chen, T.C. (2000), "Extensions of the TOPSIS for group decision making under fuzzy environment", Fuzzy Set. Syst., 114(1), 1-9.   DOI   ScienceOn
22 Chu, T.C. and Lin, Y.C. (2003), "A fuzzy TOPSIS method for robot selection", Int. J. Adv. Manuf. Tech., 21(4), 284-290.   DOI   ScienceOn
23 Chu, T.C. (2002), "Facility location selection using fuzzy TOPSIS under group decisions", Int. J. Uncertain. Fuzz., 10(6), 687-701.   DOI   ScienceOn
24 Cornell, C.A., Jalayer, F., Hamburger, R.O. and Foutch, D.A. (2002), "Probabilistic basis for 2000 SAC Federal Emergency Management Agency steel moment frame guidelines", J. Struct. Eng.-ASCE, 128(4), 526-533.   DOI   ScienceOn
25 Daodeviren, M., Yavuz, S., Kln, N., Ertuðrul, I. and Karakaþoolu, N. (2008), "Comparison of fuzzy AHP and fuzzy TOPSIS methods for facility location selection", Int. J. Adv. Manuf. Tech., 39(7-8), 783-795.   DOI   ScienceOn
26 FEMA-273. (1997), NEHRP Guidelines for the seismic rehabilitation of buildings.
27 Fragiacomo, M., Amadio, C. and Macorini, L. (2004), "Seismic response of steel frames under repeated earthquake ground motions", Eng. Struct., 26(13), 2021-2035.   DOI   ScienceOn
28 Hwang, C.L. and Yoon, K. (1981), Multiple attribute decision making: Methods and applications: A state of the art survey, New York: Springer-Verlag.
29 Hadipriono, F.C. and Ross, T.J. (1991), "A rule-based fuzzy logic deduction technique for damage assessment of protective structures", Fuzzy Set. Syst., 44(3), 459-468.   DOI   ScienceOn
30 Hwang, C.L. and Yoon, K. (1981), Multiple attribute decision making: Methods and applications: A state of the art survey, New York: Springer-Verlag.
31 Kenarangui, R. (1991), "Event-tree analysis by fuzzy probability", IEEE T. Reliab., 40(1), 120-124.   DOI   ScienceOn
32 Klir, G.J. and Yuan, B. (1995), Fuzzy sets and fuzzy logic: Theory and applications, Upper Saddle River, NJ: Prentice Hall International.
33 Lee, E.S. and Li, R.L. (1988), "Comparison of fuzzy numbers based on the probability measure of fuzzy events", Comput. Math. Appl., 15(10), 887-896.   DOI   ScienceOn
34 Lee, L.W. and Chen, S.M. (2008), "Fuzzy multiple attributes group decision-making based on the extension of TOPSIS method and interval Type-2 fuzzy sets", Proceedings of the 2008 International Conference on Machine Learning and Cybernetic, China, 3260-3265.
35 Liang, G.S. (1999), "Fuzzy MCDM based on ideal and anti-ideal concepts", Eur J. Oper Res, 112(3), 682-691.   DOI   ScienceOn
36 Liou, T.S. and Wang, M.J.J. (1992), "Ranking fuzzy numbers with integral value", Fuzzy Set. Syst., 50(3) 247- 255.   DOI   ScienceOn
37 Mahin, S.A. (1998), "Lessons from damage to steel buildings during the Northridge earthquake", Eng. Struct., 20(4-6), 261-270.   DOI   ScienceOn
38 Malekly, H., Mousavi, S.M. and Hashemi, H. (2010), "A Fuzzy integrated methodology for evaluating conceptual bridge design", Expert. Syst. Appl., 37(7), 4910-4920.   DOI   ScienceOn
39 NIBS. (1999), Earthquake loss estimation methodology technical manual, HAZUS99 Service Release 2 (SR2), Developed by the National Institute of Building Sciences for the Federal Emergency Management Agency Washington, D.C.
40 NRC. (1992), Manual for screening of buildings for seismic investigation, Institute for Research in Construction, National Research Council of Canada, Ottawa, Ontario.
41 NRC. (1993), Guidelines for seismic evaluation of existing buildings, Institute for Research in Construction, National Research Council of Canada, Ottawa, Ontario.
42 NZSEE. (2006), Assessment and improvement of the structural performance of buildings in earthquake, New Zealand Society for Earthquake Engineering, Auckland, New Zealand.
43 Reyes-Salazar, A., Soto-Lopeza, M.E., Bojorquez-Mora, E. and Lopez-Barraza, A. (2012), "Effect of modeling assumptions on the seismic behavior of steel buildings with perimeter moment frames", Struct. Eng. Mech., 41(2), 183-204.   DOI
44 Ribeiro, R.A. (1996), "Fuzzy multiple attribute decision making: a review and new preference elicitation techniques", Fuzzy Set. Syst., 78(2), 155-181.   DOI   ScienceOn
45 Rivera, S.S. and Barn, J.H. (1999), "Using fuzzy arithmetic in containment event trees", International Conference on Probabilistic Safety Assessment- PSA 99, Washington, USA, 22-25.
46 Ross, T.J. (2005), Fuzzy logic with engineering applications, John Wiley & Sons, Singapore.
47 Saaty, T.L. (1980), The analytic hierarchy process, McGraw-Hill, New York.
48 Salehi, M. and Tavakkoli-Moghaddam, R. (2008), "Project selection by using a fuzzy TOPSIS technique", Proceedings of World Academy of Science, Engineering and Technology, 40, 85-90.
49 Tesfamariam, S. and Saatcioglu, M. (2008a), "Risk-based seismic evaluation of reinforced concrete buildings", Earthq. Spectra., 24(3), 795-821.   DOI   ScienceOn
50 Tesfamariam, S. and Saatcioglu, M. (2008b), "Seismic risk assessment of RC buildings using fuzzy synthetic evaluation", J. Earthq. Eng., 12(7), 1157-1184.   DOI   ScienceOn
51 Tesfamariam, S. and Saatcioglu, M. (2010), "Seismic vulnerability assessment of reinforced concrete buildings using hierarchical fuzzy rule base modeling", Earthq. Spectra, 26(1), 235-256.   DOI   ScienceOn