Selecting Appropriate Intensity Measure in View of Efficiency

Document Type: Research Papers

Authors

1 Ph.D. Candidate, Department of Civil and Environmental Engineering, Amirkabir University of Technology, Tehran, Iran.

2 Professor, Department of Civil and Environmental Engineering, Amirkabir University of Technology, Tehran, Iran.

Abstract

This study attempts to answer the question of distinguishing appropriate intensity measure parameter for performance-based design or assessment, taking into account the efficiency aspect. The comprehensive comparative tables proposed in this paper could be an effective support in the decision making procedure for intensity measure selection, comprising most of the frequently utilized intensity measures for low-rise buildings with different fundamental periods. In addition, since some specific intensity measures are commonly applied in codes, the amounts of standard deviation computed in this study could be very beneficial in answering the question of being worthy to consider another intensity measure, to improve the certitude of structural responses, noting expansion in calculationefforts.

Keywords

Main Subjects


ASCE. (2010). Minimum design loads for buildings and other structures, ASCE/SEI 7-10. American Society of Civil Engineers, Reston, Virginia.
Aslani, H. and Miranda, E. (2004). “Optimization of response simulation for loss estimation using PEER's methodology”, Proceeding of the 13th World Conference on Earthquake Engineering, Vancouver, Canada.
Aslani, H. and Miranda, E. (2005). “Probabilistic earthquake loss estimation and loss disaggregation in buildings”, Report 157, Ph.D. Dissertation, John A. Blume Earthquake Engineering Center, Stanford University, United State.
ATC-58. (2011). Guidelines for seismic performance assessment of buildings, Applied Technology Council, Washington D.C. Retrieved October 13, 2014, from https://www.atccouncil.org/pdfs/ATC-58-50 persent Draft.pdf
Baker, J.W. (2007). “Measuring bias in structural response caused by grand motion scaling”, Proceedings of the 8th Pasific Conference on Earthquake engineering, Nangyang Technological University, Singapore.
Baker, J.W. and Cornell, C.A. (2006). ‘‘Spectral shape, epsilon and record selection’’, Earthquake Engineering and Structural Dynamics, 35(9), 1077-1095.
Baker, J.W. and Cornell, C.A. (2005). ‘‘A vector-valued ground motion intensity measure consisting of spectral acceleration and epsilon’’, Earthquake Engineering and Structural Dynamics, 34(10), 1193-1217.
Bazzurro, P. (1998). ‘‘Probabilistic seismic demand analysis’’, Ph.D. Thesis, Department of Civil Engineering, Stanford University, United State.
Benjamin, J. and Cornell, C.A. (1970). Probability, statistics and decision for civil engineers, McGraw-Hill, 1st ed., New York.
BHRC, Iran's Building and House Research Center, (2014). Retrieved October 13, from http://www.bhr.gov.ir.
BHRC. (2005). Iranian code of practice for seismic resistant design of buildings, Standard No. 2800, 3rd ed., Building and Housing Research Center, Tehran, Iran.
Bozorgnia, Y. and Bertero, V.V. (2004). Earthquake engineering from engineering seismology to performance-based engineering, CRC Press, Washigton DC.
Bradley, B.A. (2012). “Empirical correlations between peak ground velocity and spectrum-based intensity measures”, Earthquake Spectra, 28(1), 17-35.
Campbell, K.W. and Bozorgnia, Y. (2014), “NGA-West2 ground motion model for the average horizontal components of PGA, PGV, and 5% damped linear acceleration response spectra”, Earthquake Spectra, 30(3), 1087-1115.
Campbell, K.W. and Bozorgnia, Y. (2012), “Cumulative Absolute Velocity (CAV) and seismic intensity based on the PEER-NGA database”, Earthquake Spectra, 28(2), 457-485.
Cordova, P.P., Deierlein G.G. (2000). “Development of a two parameter seismic intensity measure and probabilistic assessment procedure”, Proceedings of the 2nd US-Japan Workshop on Performance Based Earthquake Engineering Methodology for Reinforced Concrete Building Structures, Hokkaido, Japan.
Cordova, P.P., Deierlein, G.G., Mehanny, S.F. and Cornell, C.A. (2000). “Development of a two-parameter seismic intensity measure and probabilistic assessment procedure”, Proceeding of the 2nd U.S.-Japan Workshop on Performance-Based Earthquake Engineering of Reinforced Concrete Building Structures, Hokkaido, Japan.
Dimakopoulou, V., Fragiadakis, M. and Spyrakos, C. (2013), “Influence of modeling parameters on the response of degrading systems to near-field ground motions”, Engineering Structures, 53, 10-24.
FEMA. (1997). NEHRP guideline for seismic rehabilitation of buildings, building seismic safety council for the Federal Emergency Management Agency, Report FEMA 273, Federal Emergencies Management Agencies, Washington D.C.
Gunay S. and Mosalam, K.M. (2013), “PEER performance-based earthquake engineering methodology, revisited”, Journal of Earthquake Engineering, 17(6), 829-858.
Haselton, C.B. (2009). Evaluation of ground motion selection and modification methods: predicting median interstory drift response of buildings. PEER Report 2009/01, Pacific Earthquake Engineering Research Center, University of California, Berkeley.
Ibarra, L.F., Medina, R.A. and Krawinkler, H. (2005). “Hysteretic models that incorporate strength and stiffness deterioration”, Earthquake Engineering and Structural Dynamic, 34(12), 1489–1511.
Iervolino, I. and Cornell, C.A. (2005). “Record selection for nonlinear seismic analysis of structures”, Earthquake Spectra, 21(3), 685-713.
Krawinkler, H. and Medina, R. (2004). “Seismic demands for nondeteriorating frame structures and their dependence on ground motions’’,

Report PEER 2003/15, Pacific Earthquake Engineering Research Center, University of California at Berkeley, Berkeley, CA.
Lignos, D.G. and Krawinkler, H. (2013). “Development and utilization of structural component databases for performance-based earthquake engineering”, Journal of Structural Engineering, 139 (Special Issue: NEES 2: Advances in Earthquake Engineering), 1382-1394.
Lignos, D.G., Putman, C. and Krawinkler, H. (2015). “Application of simplified analysis procedures for performance-based earthquake evaluation of steel special moment frames”, Earthquake Spectra (in Press).
Lotfollahi-Yaghin, Gholipour Salimi, M. and Ahmadi, H. (2013), “Probabilistic assessment of pseudo-static design of gravity-type quay walls”, Civil Engineering Infrastructures Journal, 46(2), 209-219.
Luco, N. (2002). “Probabilistic seismic demand analysis, SMRF connection fractures, and near source effect’’, Ph.D. Dissertation, Department of Civil and Environmental Engineering, Stanford University, United State.
Luco, N. and Cornell, C.A. (2007). “Structure-specific scalar intensity measures for near-source and ordinary earthquake ground motions”, Earthquake Spectra, 23(2), 357-392.
Mahdavi Adeli, M., Banazadeh, M., Deylami, A. and Alinia M.M. (2012). “Introducing a new spectral intensity measure parameter to estimate the seismic demand of steel moment-resisting frames using Bayesian statistics”, Advances in Structural Engineering, 15(2), 231-245.
Mollaioli, F., Lucchini A., Cheng Y. and Monti, G. (2013). “Intensity measures for the seismic response prediction of base-isolated buildings”, Bulletin of Earthquake Engineering, 11(1), 1841-1866.
Najafi, L.H. and Tehranizadeh, M. (2015). “New intensity measure parameter based on record's velocity characteristics”, Scientia Iranica, Transaction A: Civil Engineering, 22(5), 1674-1691.
OpenSees (2009). “Open system for earthquake engineering simulation”, Pacific Earthquake Engineering Research Center, Berkeley, CA.
Park, Y.J., Ang, A.H.S., and Wen, Y.K. (1984). “Seismic damage analysis and damage-limiting design of R/C buildings”, Civil Engineering Studies, Technical Report SRS 516, University of Illinois, Urbana.
PEER, Pacific Earthquake Engineering Research Center (PEER), (2014). PEER strong motion database, Retrieved October 13, 2014, from http://peer.berkeley.edu/smcat.
Quiroz‐Ramíreza, A., Arroyob, D., Terán‐Gilmoreb, A. and Ordazc, M. (2014). “Evaluation of the intensity measure approach in performance‐based earthquake engineering with simulated ground motions”, Bulletin of the Seismological Society of America, 104(2), 669-683.
Ramirez, C. and Miranda, E. (2009). “Building-specific loss estimation methods and tools for simplified performance-based earthquake engineering’’, Report No. 171, Ph.D. Dissertation, John A. Blume Earthquake Engineering Center, Stanford University, United State.
Reye, J.C. and Kalkan, E. (2014). “How many records should be used in ASCE/SEI-7 ground motion scaling procedure”, USGS Report, Retrieved October 13, from http://nsmp.wr.usgs.gov/ekalkan/PDFs/Papers/J39_Reyes_Kalkan.pdf/
Shome, N. (1999). “Probabilistic seismic demand analysis of nonlinear structures”, Ph.D. Dissertation, Department of Civil and Environmental Engineering, Stanford University, United State.
Shrey, S.K. and Baker, J.W. (2007). “Quantitative classification of near-fault ground motions using wavelet analysis”, Bulletin of the Seismological Society of America. 97(5), 1486–1501.
Somerville, P., Smith, N., Graves, R.W. and Abrahamson, N.A. (1997). “Modification of empirical strong ground motion attenuation relations to include the amplitude and duration effects of rupture directivity”, Seismological Research Letters, 68(1), 199–222.
Somerville, P., Smith, N., S. Punyamurthula, S. and Sun, J. (1997). “Development of ground motion time histories for phase 2 of the FEMA/SAC project”, Report SAC/BD-97-04, Retrieved October 13, 2014, from http://www.sacsteel.org.
Tehranizadeh, M. and Movahed, H., (2011). “Evaluation of steel moment-resisting frames performance in tall buildings in near fault areas”, Civil Engineering Infrastructures Journal, 44(5), 621-633.
Tothong, P. and Luco, N. (2007). ‘‘Probabilistic seismic demand analysis using advanced ground motion intensity measures’’, Earthquake Engineering and Structural Dynamics, 36(13), 1837–1860.
Trifunac, M.D. and Brady, A.G. (1975). “A study on duration of strong ground motions”, Bulletin of Seismological Society of America, 65, 581-626.
UBC97. (1997). “Uniform building code”, Vol. 2, International Conference of Building Officials, Whittier, CA.
Wang, G. (2010). “A ground motion selection and modification method preserving characteristics 

aleatory variability of scenario earthquakes”, Proceeding of the 9th US national and 10th Canadian Conference on Earthquake Engineering, Toronto, Canada.
Welch, D.P., Sullivan T.J. and Calvi, G.M. (2014). “Developing direct displacement-based procedures for simplified loss assessment in performance-based earthquake engineering”, Journal of Earthquake Engineering, 18(2), 290-322.
Yahyaabadi, A. and Tehranizadeh, M. (2011). “New scalar intensity measure for near-fault ground motions based on the optimal combination of spectral responses”, Scientia Iranica, Transactions A: Civil Engineering, 18(6), 1149-1158.
Zahrai S.M. and Ezoddin A.R. (2013). “Numerical study of progressive collapse in intermediate moment resisting reinforced concrete frame due to column removal”, Civil Engineering Infrastructures Journal, 47(1), 71-88.
Zareian, F. and Krawinkler, H. (2012), “Conceptual performance-based seismic design using building-level and story-level decision support system”, Earthquake Engineering and Structural Dynamics, 41(11), 1439–1453.
Zhong, J.F., Zhang, L.W. and Liang, J.W. (2013), “An improved source model for simulation near-field strong ground motion acceleration time history”, Applied Mechanics and Materials, 438(1), 1474-1480.