Surrogate SDOF models for probabilistic performance assessment of multistory buildings: Methodology and application for steel special moment frames

Abstract This paper proposes a methodology for generating surrogate single-degree-of-freedom (SDOF) models that can be utilized to estimate the probability distribution of the roof drift ratio of multistory buildings at various ground motion intensity measures. The use of an SDOF model as a surrogate for multistory buildings can significantly alleviate the high computational cost for probabilistic seismic demand assessment considering both model uncertainty and record-to-record variability. The surrogate SDOF model generated herein explicitly accounts for model uncertainties and can be used as an alternative to the nonlinear dynamic analysis of detailed building structures. Applications for such surrogate models include regional risk and resilience analyses and comprehensive parametric studies. To showcase the proposed methodology, an SDOF surrogate model for steel special moment frame (SMF) buildings is developed using the suggested surrogate SDOF model generating methodology. The properties of the surrogate model representing a multi-degree-of-freedom (MDOF) structure are computed using a probabilistic function of the fundamental period of the structure developed using Bayesian linear regression. To validate the surrogate model for SMFs, the response statistics produced using detailed multistory SMF models are compared with those of the corresponding surrogate SDOF models. The results show that the proposed surrogate SDOF model captures the probability distribution of the roof drift ratio of SMFs up to collapse with acceptable accuracy while reducing the runtime by at least one order of magnitude.

[1]  Dimitrios Vamvatsikos,et al.  Seismic performance of a steel moment-resisting frame subject to strength and ductility uncertainty , 2014 .

[2]  Peter Fajfar,et al.  Inelastic spectra for infilled reinforced concrete frames , 2004 .

[3]  Luis Ibarra,et al.  Hysteretic models that incorporate strength and stiffness deterioration , 2005 .

[4]  Terje Haukaas,et al.  Seismic risk analysis with reliability methods, part II: Analysis , 2013 .

[5]  Deierlein Gg,et al.  Quantifying the impacts of modeling uncertainties on the seismic drift demands and collapse risk of buildings with implications on seismic design checks , 2016 .

[6]  Armen Der Kiureghian,et al.  Probabilistic Capacity Models and Fragility Estimates for Reinforced Concrete Columns based on Experimental Observations , 2002 .

[7]  Sudhir K. Jain,et al.  Seismic Overstrength in Reinforced Concrete Frames , 1995 .

[8]  A. S. Nowak,et al.  Uncertainties in the building process , 2013 .

[9]  Luis Ibarra,et al.  Variance of collapse capacity of SDOF systems under earthquake excitations , 2011 .

[10]  Michel Bruneau,et al.  TESTS TO STRUCTURAL COLLAPSE OF SINGLE DEGREE OF FREEDOM FRAMES SUBJECTED TO EARTHQUAKE EXCITATIONS , 2003 .

[11]  Dimitrios G. Lignos,et al.  An efficient method for estimating the collapse risk of structures in seismic regions , 2013 .

[12]  Farzin Zareian,et al.  Performance Prediction Equations for Linear Planar Structural Systems: Concept, Formulation, and Validation , 2017 .

[13]  A. L. Bowley The Standard Deviation of the Correlation Coefficient , 1928 .

[14]  Dionisio Bernal,et al.  Amplification factors for inelastic dynamicp? effects in earthquake analysis , 1987 .

[15]  Dimitrios Vamvatsikos,et al.  Fast performance uncertainty estimation via pushover and approximate IDA , 2009 .

[16]  Rui Pinho,et al.  Simplified pushover-based vulnerability analysis for large-scale assessment of RC buildings , 2008 .

[17]  Terje Haukaas,et al.  Seismic risk analysis with reliability methods, part I: Models , 2013 .

[18]  Mojtaba Mahsuli,et al.  Probabilistic Evaluation of 2015 NEHRP Soil-Structure Interaction Provisions , 2017 .

[19]  Iztok Peruš,et al.  A web‐based methodology for the prediction of approximate IDA curves , 2013 .

[20]  Dimitrios Vamvatsikos,et al.  Incremental dynamic analysis , 2002 .

[21]  H. Crowley,et al.  Development of a Fragility Model for the Residential Building Stock in South America , 2017 .

[22]  Xinzheng Lu,et al.  Development of Seismic Collapse Capacity Spectra and Parametric Study , 2014 .

[23]  H Krawinkler,et al.  Shear in Beam-Column Joints in Seismic Design of Steel Frames , 1978, Engineering Journal.

[24]  Mojtaba Mahsuli,et al.  Probabilistic Modeling Framework for Prediction of Seismic Retrofit Cost of Buildings , 2017 .

[25]  Sang Whan Han,et al.  Determination of ductility factor considering different hysteretic models , 1999 .

[26]  Andrzej S. Nowak,et al.  Reliability of Structures , 2000 .

[27]  Muzaffer Borekci,et al.  Collapse period of degrading SDOF systems , 2014, Earthquake Engineering and Engineering Vibration.

[28]  Helmut Krawinkler,et al.  Deterioration Modeling of Steel Components in Support of Collapse Prediction of Steel Moment Frames under Earthquake Loading , 2011 .

[29]  Dimitrios G. Lignos,et al.  Sidesway collapse of deteriorating structural systems under seismic excitations , 2008 .

[30]  Mojtaba Mahsuli,et al.  Component damage models for detailed seismic risk analysis using structural reliability methods , 2019, Structural Safety.

[31]  Bulent Akbas,et al.  Practical moment-rotation relations of steel shear tab connections , 2013 .

[32]  Mojtaba Mahsuli,et al.  Probabilistic Evaluation of Strength Demands for Multistory Shear Buildings , 2018 .

[33]  Eduardo Miranda,et al.  Inelastic displacement ratios for evaluation of existing structures , 2003 .

[34]  M. Dolšek Simplified method for seismic risk assessment of buildings with consideration of aleatory and epistemic uncertainty , 2011 .

[35]  Yang Liu,et al.  First Mode Damping Ratios for Buildings , 2015 .

[36]  Jose´A. Pincheira,et al.  Seismic Analysis of Older Reinforced Concrete Columns , 1999 .

[37]  Tiziana Rossetto,et al.  FRACAS: A capacity spectrum approach for seismic fragility assessment including record-to-record variability , 2016 .

[38]  Peter Fajfar,et al.  Approximate seismic risk assessment of building structures with explicit consideration of uncertainties , 2014 .