Earthquake-Induced Collapse Risk and Loss Assessment of Steel Concentrically Braced Frames

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This paper quantifies the collapse risk and earthquake-induced losses for a wide range of archetype buildings with special concentrically braced frames (SCBFs). The collapse risk and expected economic losses associated with repair, demolition and collapse are computed based on a performance-based earthquake engineering framework developed within the Pacific Earthquake Engineering Research Center. It is shown that the collapse risk of the steel SCBF archetypes may be significantly overestimated when the influence of the gravity framing system on the lateral frame strength and stiffness is ignored. It is also found that the building-specific earthquake loss assessment is significantly overestimated at low probability of occurrence seismic events (i.e., 2% probability of occurrence in 50 years) when the gravity framing system is not modeled explicitly as part of the nonlinear building model. For frequent and design-basis seismic events (i.e., 50 and 10% probability of exceedance over 50 years of building life expectancy), acceleration-sensitive nonstructural component repairs govern the building losses regardless of the employed nonlinear building model representation. For the same seismic events, steel brace flexural buckling contributes to structural repair losses.

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90-97

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February 2018

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© 2018 Trans Tech Publications Ltd. All Rights Reserved

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[1] R. Tremblay, A. Filiatrault, M. Bruneau, M. Nakashima, H.G.L. Prion, R. DeVall, Seismic design of steel buildings: lessons from the 1995 Hyogo-ken Nanbu earthquake. Canadian Journal of Civil Engineering, 23(3): 727-756, (1996).

DOI: 10.1139/l96-885

Google Scholar

[2] R. Tremblay, A. Filiatrault, P. Timler, M. Bruneau, Performance of steel structures during the 1994 Northridge earthquake. Canadian Journal of Civil Engineering, 22(2): 338-360, (1995).

DOI: 10.1139/l95-046

Google Scholar

[3] S. Ray-Chaudhuri, T.C. Hutchinson, Effect of nonlinearity of frame buildings on peak horizontal floor acceleration. Journal of Earthquake Engineering, 15(1): 124-142, (2011).

DOI: 10.1080/13632461003668046

Google Scholar

[4] M.E. Rodriguez, J.I. Restrepo, A.J. Carr, Earthquake-induced floor horizontal accelerations in buildings. Earthquake Engineering & Structural Dynamics, 31(3): 693-718, (2002).

DOI: 10.1002/eqe.149

Google Scholar

[5] D.G. Lignos, E. Karamanci, Drift-based and dual-parameter fragility curves for concentrically braced frames in seismic regions. Journal of Constructional Steel Research, 90(0): 209-220, (2013).

DOI: 10.1016/j.jcsr.2013.07.034

Google Scholar

[6] C.W. Roeder, E.J. Lumpkin, D.E. Lehman, Seismic performance assessment of concentrically braced steel frames. Earthquake Spectra, 28(2): 709-727, (2012).

DOI: 10.1193/1.4000006

Google Scholar

[7] FEMA, Seismic performance assessment of buildings, volume 1 – methodology. Report No. FEMA P-58-1, Federal Emergency Management Agency, Washington, DC, (2012).

Google Scholar

[8] A. Elkady, D.G. Lignos, Effect of gravity framing on the overstrength and collapse capacity of steel frame buildings with perimeter special moment frames. Earthquake Engineering & Structural Dynamics, 44(8): 1289-1307, (2015).

DOI: 10.1002/eqe.2519

Google Scholar

[9] L.A. Fahnestock, E.M. Hines, R. Tremblay, C. Bradley, J. Nelson, T. Beland, A. Davaran, J. Sizemore. Reserve capacity and implications for seismic collapse prevention for low-ductility braced frames in moderate seismic regions. Proceedings of the 10th US National Conference on Earthquake Engineering: Frontiers of Earthquake Engineering, Anchorage, AK, (2014).

DOI: 10.1061/9780784413357.208

Google Scholar

[10] X. Ji, M. Kato, T. Wang, T. Hitaka, M. Nakashima, Effect of gravity columns on mitigation of drift concentration for braced frames. Journal of Constructional Steel Research, 65(12): 2148-2156, (2009).

DOI: 10.1016/j.jcsr.2009.07.003

Google Scholar

[11] M. Baradaran Shoraka, T.Y. Yang, K.J. Elwood, Seismic loss estimation of non-ductile reinforced concrete buildings. Earthquake Engineering & Structural Dynamics, 42(2): 297-310, (2013).

DOI: 10.1002/eqe.2213

Google Scholar

[12] C.M. Ramirez, A.B. Liel, J. Mitrani-Reiser, C.B. Haselton, A.D. Spear, J. Steiner, G.G. Deierlein, E. Miranda, Expected earthquake damage and repair costs in reinforced concrete frame buildings. Earthquake Engineering & Structural Dynamics, 41(11): 1455-1475, (2012).

DOI: 10.1002/eqe.2216

Google Scholar

[13] C.M. Ramirez, E. Miranda, Significance of residual drifts in building earthquake loss estimation. Earthquake Engineering & Structural Dynamics, 41(11): 1477-1493, (2012).

DOI: 10.1002/eqe.2217

Google Scholar

[14] M. Koliou, J.W. van de Lindt, A. Filiatrault, Evaluation of an alternative seismic design approach for rigid wall flexible wood roof diaphragm buildings through probabilistic loss estimation and disaggregation. Engineering Structures, 127: 31-39, (2016).

DOI: 10.1016/j.engstruct.2016.08.045

Google Scholar

[15] S. Pei, J.W. van de Lindt, Methodology for earthquake-induced loss estimation: An application to woodframe buildings. Structural Safety, 31(1): 31-42, (2009).

DOI: 10.1016/j.strusafe.2007.12.002

Google Scholar

[16] K.A. Porter, C.R. Scawthorn, J.L. Beck, Cost-effectiveness of stronger woodframe buildings. Earthquake Spectra, 22(1): 239-266, (2006).

DOI: 10.1193/1.2162567

Google Scholar

[17] ASCE. Minimum design loads for buildings and other structures, ASCE/SEI 7-10. American Society of Civil Engineers: Reston, VA, (2006).

DOI: 10.1061/9780784412916.err

Google Scholar

[18] AISC. Seismic provisions for structural steel buildings, ANSI/AISC 341-05. American Institute of Steel Construction: Chicago, IL, (2005).

DOI: 10.1201/b11248-16

Google Scholar

[19] NIST, Evaluation of the FEMA P-695 methodology for quantification of building seismic performance factors. NIST GCR 10-917-8, NEHRP Consultants Joint Venture, Gaithersburg, MD, (2010).

Google Scholar

[20] RS Means. RS Means Square Foot Costs, RS Means Corporation: Kingston, MA. USA., (2013).

Google Scholar

[21] S. -H. Hwang, A. Elkady, S. Al. Bardaweel, D.G. Lignos, Earthquake loss assessment of steel frame buildings designed in highly seismic regions. Proceedings of the 5th ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, Crete Island, Greece, (2015).

DOI: 10.7712/120115.3481.1092

Google Scholar

[22] S. -H. Hwang, D.G. Lignos, Effect of modeling assumptions on the earthquake-induced losses and collapse risk of steel-frame buildings with special concentrically braced frames. Journal of Structural Engineering, 143(9): 04017116, (2017).

DOI: 10.1061/(asce)st.1943-541x.0001851

Google Scholar

[23] F.T. Mckenna, Object-oriented finite element programming: frameworks for analysis, algorithms and parallel computing. Ph.D. Thesis, Department of Civil Engineering, University of California, Berkeley, CA, (1997).

Google Scholar

[24] E. Karamanci, D.G. Lignos, Computational approach for collapse assessment of concentrically braced frames in seismic regions. Journal of Structural Engineering, 140(8): A4014019, (2014).

DOI: 10.1061/(asce)st.1943-541x.0001011

Google Scholar

[25] L.F. Ibarra, R.A. Medina, H. Krawinkler, Hysteretic models that incorporate strength and stiffness deterioration. Earthquake Engineering and Structural Dynamics, 34(12): 1489-1511, (2005).

DOI: 10.1002/eqe.495

Google Scholar

[26] D.G. Lignos, H. Krawinkler, Deterioration modeling of steel components in support of collapse prediction of steel moment frames under earthquake loading. Journal of Structural Engineering, 137(11): 1291-1302, (2011).

DOI: 10.1061/(asce)st.1943-541x.0000376

Google Scholar

[27] FEMA, Quantification of building seismic performance factors. Report No. FEMA-P695, Federal Emergency Management Agency (FEMA), Washington, DC, (2009).

DOI: 10.1007/springerreference_225387

Google Scholar

[28] D. Vamvatsikos, C.A. Cornell, Incremental dynamic analysis. Earthquake Engineering and Structural Dynamics, 31(3): 491-514, (2002).

DOI: 10.1002/eqe.141

Google Scholar

[29] L. Eads, E. Miranda, H. Krawinkler H., D. G. Lignos, An efficient method for estimating the collapse risk of structures in seismic regions. Earthquake Engineering & Structural Dynamics, 42(1): 25-41, (2013).

DOI: 10.1002/eqe.2191

Google Scholar

[30] C.A. Cornell, Engineering seismic risk analysis. Bulletin of the Seismological Society of America, 58(5): 1583-1606, (1968).

DOI: 10.1785/bssa0580051583

Google Scholar

[31] ASCE. Minimum design loads for buildings and other structures, ASCE/SEI 7-10. American Society of Civil Engineers (ASCE): Reston, VA, (2010).

DOI: 10.1061/9780784412916.err

Google Scholar

[32] S. -H. Hwang, D.G. Lignos, Earthquake-induced loss assessment of steel frame buildings with special moment frames designed in highly seismic regions. Earthquake Engineering & Structural Dynamics: 46(13): 2141-2162, (2017).

DOI: 10.1002/eqe.2898

Google Scholar