Inelastic condensed dynamic models for estimating seismic demands for buildings

Abstract Computationally-efficient simulations of structural responses, such as displacements and inter-story drift ratios, are central to performance-based earthquake engineering. Calculating these responses involves potentially time-consuming response history analysis of inelastic structural behavior. To overcome this burden, this paper introduces a new inelastic model condensation (IMC) procedure. The method presented here is non-iterative and uses the modal properties of the full model (in the elastic range) to condense the structural model such that the condensed elastic model preserves the modal properties of the full model at certain modes specified by the analyst. Then, by replacing the inter-story elastic forces with hysteretic forces, the inelastic behavior of the full finite element model is incorporated into the condensed model. The parameters of these hysteretic forces are easily tuned, in order to fit the inelastic behavior of the condensed structure to that of the full model under a variety of simple loading scenarios. The fidelity of structural models condensed in this way is demonstrated via simulation for different ground motion intensities on three different building structures with various heights. The simplicity, accuracy, and efficiency of this approach could significantly alleviate the computational burden of performance-based earthquake engineering.

[1]  Henri P. Gavin,et al.  Truly isotropic biaxial hysteresis with arbitrary knee sharpness , 2014 .

[2]  Asimina Athanatopoulou,et al.  Static Pushover Analysis Based on an Energy-Equivalent SDOF System , 2011 .

[3]  Tao Yin,et al.  Vibration-based damage detection for structural connections using incomplete modal data by Bayesian approach and model reduction technique , 2017 .

[4]  Amir H. Gandomi,et al.  A hybrid damage detection method using dynamic-reduction transformation matrix and modal force error , 2016 .

[5]  Anil K. Chopra,et al.  Evaluation of three‐dimensional modal pushover analysis for unsymmetric‐plan buildings subjected to two components of ground motion , 2011 .

[6]  Brian F. Feeny,et al.  An "optimal" modal reduction of a system with frictional excitation , 1999 .

[7]  Anil K. Chopra,et al.  Evaluation of Modal and FEMA Pushover Analyses: SAC Buildings , 2004 .

[8]  Alexandros A. Taflanidis,et al.  Probabilistic measures for assessing appropriateness of robust design optimization solutions , 2015 .

[9]  G. Sandberg,et al.  Reduced order modelling of elastomeric vibration isolators in dynamic substructuring , 2018 .

[10]  Reza Soheilifard,et al.  A hierarchical non-iterative extension of the Guyan condensation method for damped structures , 2015 .

[11]  Y. K. Wen,et al.  Random vibration of hysteretic systems under bi‐directional ground motions , 1986 .

[12]  Alexandros A. Taflanidis,et al.  Kriging metamodeling in seismic risk assessment based on stochastic ground motion models , 2015 .

[13]  Phill-Seung Lee,et al.  An iterative algebraic dynamic condensation method and its performance , 2017 .

[14]  Saeed Gholizadeh,et al.  Structural optimization by wavelet transforms and neural networks , 2011 .

[15]  Shirley J. Dyke,et al.  Benchmark Control Problems for Seismically Excited Nonlinear Buildings , 2004 .

[16]  Henri P. Gavin,et al.  Assessment of a rolling isolation system using reduced order structural models , 2015 .

[17]  F. Gao,et al.  Dynamic condensation approach to calculation of structural responses and response sensitivities , 2017 .

[18]  Faramarz Khoshnoudian,et al.  Extended consecutive modal pushover procedure for estimating seismic responses of one-way asymmetric plan tall buildings considering soil-structure interaction , 2014, Earthquake Engineering and Engineering Vibration.

[19]  Anil K. Chopra,et al.  A modal pushover analysis procedure for estimating seismic demands for buildings , 2002 .

[20]  Solomon Tesfamariam,et al.  Seismic Vulnerability of Reinforced Concrete Frame with Unreinforced Masonry Infill Due to Main Shock–Aftershock Earthquake Sequences , 2015 .

[21]  J. García-Martínez,et al.  A method for performing efficient parametric dynamic analyses in large finite element models undergoing structural modifications , 2017 .

[22]  Kapil Khandelwal,et al.  Comparison of robustness of metaheuristic algorithms for steel frame optimization , 2015 .

[23]  Richard W. Longman,et al.  On‐line identification of non‐linear hysteretic structural systems using a variable trace approach , 2001 .

[24]  M. Selim Günay,et al.  Generalized force vectors for multi‐mode pushover analysis , 2011 .

[25]  Alexandros A. Taflanidis,et al.  Parsimonious modeling of hysteretic structural response in earthquake engineering: Calibration/validation and implementation in probabilistic risk assessment , 2013 .

[26]  S. Tesfamariam,et al.  Impact of Earthquake Types and Aftershocks on Loss Assessment of Non-Code-Conforming Buildings: Case Study with Victoria, British Columbia , 2017 .

[27]  K. Persson,et al.  A reduced model for the design of glass structures subjected to impact loads , 2014 .

[28]  Farhad Behnamfar,et al.  A Drift Pushover Analysis Procedure for Estimating the Seismic Demands of Buildings , 2014 .

[29]  R. Guyan Reduction of stiffness and mass matrices , 1965 .

[30]  Halûk Sucuoğlu,et al.  Practical Implementation of Generalized Force Vectors for the Multimodal Pushover Analysis of Building Structures , 2015 .

[31]  Y. Wen Method for Random Vibration of Hysteretic Systems , 1976 .

[32]  Roberto Villaverde,et al.  Efficient mode superposition algorithm for seismic analysis of non‐linear structures , 1992 .

[33]  Kenneth Levenberg A METHOD FOR THE SOLUTION OF CERTAIN NON – LINEAR PROBLEMS IN LEAST SQUARES , 1944 .

[34]  BrianS-J. Chiou,et al.  An NGA Model for the Average Horizontal Component of Peak Ground Motion and Response Spectra , 2008 .

[35]  Franz Bamer,et al.  Application of the proper orthogonal decomposition for linear and nonlinear structures under transient excitations , 2012 .

[36]  Nikos D. Lagaros,et al.  Evaluation of ASCE-41, ATC-40 and N2 static pushover methods based on optimally designed buildings , 2011 .

[37]  E. Miranda,et al.  Performance-Based Earthquake Engineering , 2004 .

[38]  D. Marquardt An Algorithm for Least-Squares Estimation of Nonlinear Parameters , 1963 .