Energy‐compatible and spectrum‐compatible (ECSC) ground motion simulation using wavelet packets
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[1] H. Estekanchi,et al. Non-stationary spectral matching by unconstrained optimization and discrete wavelet transformation , 2019 .
[2] Gang Wang,et al. A ground motion selection and modification method capturing response spectrum characteristics and variability of scenario earthquakes , 2011 .
[3] Gang Wang,et al. Empirical correlations between cumulative absolute velocity and spectral accelerations from NGA ground motion database , 2012 .
[4] Gang Wang,et al. Stochastic simulation of regionalized ground motions using wavelet packets and cokriging analysis , 2015 .
[5] Gang Wang,et al. A simple ground‐motion prediction model for cumulative absolute velocity and model validation , 2013 .
[6] Gail M. Atkinson,et al. Stochastic Point-Source Modeling of Ground Motions in the Cascadia Region , 1997 .
[7] JONATHAN HANCOCK,et al. AN IMPROVED METHOD OF MATCHING RESPONSE SPECTRA OF RECORDED EARTHQUAKE GROUND MOTION USING WAVELETS , 2006 .
[8] Jack W. Baker,et al. Impact of hazard‐consistent ground motion duration in structural collapse risk assessment , 2016 .
[9] B. Bradley,et al. Ground motion selection for scenario ruptures using the generalised conditional intensity measure (GCIM) method , 2015 .
[10] Anil K. Chopra,et al. Evaluation of ground motion selection and modification procedures using synthetic ground motions , 2015 .
[11] C. Allin Cornell,et al. Earthquakes, Records, and Nonlinear Responses , 1998 .
[12] Chun-Hui He,et al. Simulation of broadband seismic ground motions at dam canyons by using a deterministic numerical approach , 2015 .
[13] Armen Der Kiureghian,et al. A stochastic ground motion model with separable temporal and spectral nonstationarities , 2008 .
[14] G. Fenton,et al. Conditional Simulation of Spatially Correlated Earthquake Ground Motion , 1993 .
[15] Jack W. Baker,et al. Quantifying the Influence of Ground Motion Duration on Structural Collapse Capacity Using Spectrally Equivalent Records , 2016 .
[16] Brendon A. Bradley,et al. Correlation of Significant Duration with Amplitude and Cumulative Intensity Measures and Its Use in Ground Motion Selection , 2011 .
[17] Armen Der Kiureghian,et al. Simulation of synthetic ground motions for specified earthquake and site characteristics , 2010 .
[18] Jack W. Baker,et al. Stochastic Model for Earthquake Ground Motion Using Wavelet Packets , 2013 .
[19] Giuseppe Marano,et al. An energy-based envelope function for the stochastic simulation of earthquake accelerograms , 2009 .
[20] A. Chopra,et al. Evaluation of the exact conditional spectrum and generalized conditional intensity measure methods for ground motion selection , 2016 .
[21] Y. K. Wen,et al. Modeling of nonstationary ground motion and analysis of inelastic structural response , 1990 .
[22] Frank Scherbaum,et al. On the Relationship between Fourier and Response Spectra: Implications for the Adjustment of Empirical Ground‐Motion Prediction Equations (GMPEs) , 2016 .
[23] N. Abrahamson,et al. An Improved Method for Nonstationary Spectral Matching , 2010 .
[24] Walter J Silva,et al. State-of-the-Art for Assessing Earthquake Hazards in the United States. Report 24. WES RASCAL Code for Synthesizing Earthquake Ground Motions. , 1987 .
[25] A. Pitarka,et al. Broadband Ground-Motion Simulation Using a Hybrid Approach , 2010 .
[26] Irmela Zentner,et al. A procedure for simulating synthetic accelerograms compatible with correlated and conditional probabilistic response spectra , 2014 .
[27] Joel P. Conte,et al. Fully nonstationary analytical earthquake ground-motion model , 1997 .
[28] Agathoklis Giaralis,et al. Time–frequency representation of earthquake accelerograms and inelastic structural response records using the adaptive chirplet decomposition and empirical mode decomposition , 2007 .
[29] Maria Q. Feng,et al. SHM‐integrated bridge reliability estimation using multivariate stochastic processes , 2015 .
[30] Gang Wang,et al. Region‐Specific Spatial Cross‐Correlation Model for Stochastic Simulation of Regionalized Ground‐Motion Time Histories , 2015 .
[31] Gang Wang,et al. Prediction Equations for Ground‐Motion Significant Durations Using the NGA‐West2 Database , 2017 .
[32] J. Baker,et al. Correlation of Spectral Acceleration Values from NGA Ground Motion Models , 2008 .
[33] Gang Wang,et al. Efficiency of scalar and vector intensity measures for seismic slope displacements , 2012 .
[34] W. Silva,et al. Stochastic Modeling of California Ground Motions , 2000 .
[35] B. Bradley. A generalized conditional intensity measure approach and holistic ground‐motion selection , 2010 .
[36] Gang Wang,et al. Design Ground Motion Library: An Interactive Tool for Selecting Earthquake Ground Motions , 2015 .
[37] J. Baker,et al. Spectral shape, epsilon and record selection , 2006 .
[38] Joel P. Conte,et al. Influence of time‐varying frequency content in earthquake ground motions on seismic response of linear elastic systems , 2016 .
[39] Jack W. Baker,et al. Conditional Mean Spectrum: Tool for Ground-Motion Selection , 2011 .
[40] Jack W. Baker,et al. A Computationally Efficient Ground-Motion Selection Algorithm for Matching a Target Response Spectrum Mean and Variance , 2011 .
[41] Duruo Huang. Stochastic simulation of spatially correlated earthquake time histories, and energy-compatible and spectrum-compatible ground motion modification using wavelet packets , 2016 .
[42] Brendon A. Bradley. The seismic demand hazard and importance of the conditioning intensity measure , 2012 .
[43] Kojiro Irikura,et al. Three-dimensional simulation of the near-fault ground motion for the 1995 Hyogo-Ken Nanbu (Kobe), Japan, earthquake , 1998, Bulletin of the Seismological Society of America.
[44] Dimitrios Zekkos,et al. Impact of Modification on Ground Motion Characteristics and Geotechnical Seismic Analyses for a California Site , 2014 .