Simulation of Multiple-Station Ground Motions Using Stochastic Point-Source Method with Spatial Coherency and Correlation Characteristics

Liu, T. J.; Hong, Han

doi:10.1785/0120120203

Cited by 19 publications

(28 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The spatial correlation model that we develop in this study for the wavelet parameters extends the Yamamoto–Baker model to regional‐scale applications, by simulating spatially correlated ground motions at multiple locations for a given scenario earthquake. It is interesting to mention that the previous scope of work has also been attempted in a recent study using stochastic point‐source simulation , where the point‐source model is modified to prescribe a spatial correlation and coherency structure.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Stochastic simulation of regionalized ground motions using wavelet packets and cokriging analysis

Huang

Wang

2014

Earthq Engng Struct Dyn

View full text Add to dashboard Cite

Summary Performance‐based earthquake engineering often requires ground‐motion time‐history analyses to be performed, but very often, ground motions are not recorded at the location being analyzed. The present study is among the first attempt to stochastically simulate spatially distributed ground motions over a region using wavelet packets and cokriging analysis. First, we characterize the time and frequency properties of ground motions using the wavelet packet analysis. The spatial cross‐correlations of wavelet packet parameters are determined through geostatistical analysis of regionalized ground‐motion data from the Northridge and Chi‐Chi earthquakes. It is observed that the spatial cross‐correlations of wavelet packet parameters are closely related to regional site conditions. Furthermore, using the developed spatial cross‐correlation model and the cokriging technique, wavelet packet parameters at unmeasured locations can be best estimated, and regionalized ground‐motion time histories can be synthesized. Case studies and blind tests using data from the Northridge and Chi‐Chi earthquakes demonstrate that the simulated ground motions generally agree well with the actual recorded data. The proposed method can be used to stochastically simulate regionalized ground motions for time‐history analyses of distributed infrastructure and has important applications in regional‐scale hazard analysis and loss estimation. Copyright © 2014 John Wiley & Sons, Ltd.

show abstract

Section: Introductionmentioning

confidence: 99%

“…The model capability is verified in blind tests by comparing simulated ground motions with the actual recorded data. It is also worth pointing out that, if not unlikely, it is not entirely clear how the conditional simulation could be conducted using the point‐source model in .…”

Section: Introductionmentioning

confidence: 99%

Stochastic simulation of regionalized ground motions using wavelet packets and cokriging analysis

Huang

Wang

2014

Earthq Engng Struct Dyn

View full text Add to dashboard Cite

show abstract

“…where r Aj represents the spatially correlated disturbance in the FAS for the j-th recording station (or support), for a given seismic event, as well as the relation between M 0 and M are given in Table 1 and the selected model parameters are discussed in Liu and Hong. 12 The spatially correlated disturbance r Aj was assessed based on values of the integral of the FAS of the record to the integral of Y(M 0 , R, f). For the Chi-Chi earthquake, it was concluded 12 that ln(r Aj ) could be adequately modelled as a normal variate with zero mean and standard deviation equal to 0.523, and ln(r Aj ) at different sites are correlated with the following empirical spatial correlation, ρ r (Δ)…”

Section: Simulation Of Multiple-support Excitation For a Scenario Eventmentioning

confidence: 99%

“…The coherence function of two ground motion records at spatially located stations (supports) for a seismic event depends on the frequency and coherence alone does not result in the simulated records matching the observed spatial correlation of PGA and of SAs. 12 The coherence models are often considered in the estimation of the seismic responses of structures or structural systems with multiple supports. [13][14][15][16][17][18][19] In these studies, simulated ground motion records are used since the available historical records are insufficient for selecting the records matching inter-support distances of a structure, desired seismic magnitude (or intensity) and site to seismic source distance.…”

Section: Introductionmentioning

confidence: 99%

Comparison of seismic responses of a reticulated dome under stochastic uniform and spatially correlated and coherent multiple-support excitation for a scenario seismic event

Fan

et al. 2020

International Journal of Space Structures

View full text Add to dashboard Cite

Structures with multiple supports can be sensitive to spatial coherence and spatial correlation. Since the historical recordings are insufficient for selecting records that match predefined inter-support distances of a structure, desired seismic magnitude (or intensity) and site to seismic source distance for structural analysis, such records need to be simulated. In this study, we use a procedure that is extended based on the stochastic point-source method to simulate records for scenario events. The application of the simulated records to a single-layer reticulated dome with multiple supports is presented. The application is aimed at investigating the differences between the responses subjected to spatially uniform excitation and to spatially correlated and coherent multiple-support excitation for a scenario seismic event, assessing the relative importance of the spatial coherence and spatial correlation on the responses, and evaluating the effect of the uncertainty in the spatially correlated and coherent records for a scenario event on the statistics of the seismic responses. The analysis results indicate that the spatial correlation of the Fourier amplitude spectrum has a predominant influence on the linear/nonlinear responses, and the consideration of spatially correlated and coherent excitation at multiple supports is very important. The consideration of uniform excitation severely underestimates the seismic load effects as compared to those obtained under spatially correlated and coherent multiple-support excitation.

show abstract

“…The results of statistical analysis (Liu and Hong, 2013;Hong and Liu, 2014) suggested that ln(r Ap,j ) could be modeled as a normal variate with the SD equals 0.523 and ρ mm,jk (Δ) can be modeled using, ρ mm,jk (Δ) = exp…”

Section: Model Parameter Parameter Value and Notesmentioning

confidence: 99%

Estimation of Seismic Loss for a Portfolio of Buildings under Bidirectional Horizontal Ground Motions due to a Scenario Cascadia Event

Liu

Hong

2017

Front. Built Environ.

View full text Add to dashboard Cite

Earthquake ground motions induced by a scenario event are spatially (partially) correlated and (partially) coherent. Simulated ground motion records can be used to carry out nonlinear inelastic time history analysis for a portfolio of buildings to estimate the seismic loss, which is advantageous as there is no need to develop and apply empirical ground motion prediction equations and the ductility demand rules, or to search the scenariocompatible recorded records at selected sites that may not exist. Further, if the structures being considered are sensitive to the orientation of the excitation, multiple-component ground motion records are needed. For the simulation of such ground motion records, previous studies have shown that correlation and coherency between any pair of ground motion components need to be incorporated. In this study, the seismic loss of a portfolio of hypothetical buildings in downtown Vancouver under bidirectional horizontal ground motions due to a scenario Cascadia event is estimated by using simulated bidirectional ground motion records that include realistic correlation and coherency characteristics. The hysteretic behaviors of the buildings are described by bidirectional Bouc-Wen model. The results show that the use of unidirectional ground motions and single-degreeof-freedom system structural model may underestimate the aggregated seismic loss.

show abstract

Simulation of Multiple-Station Ground Motions Using Stochastic Point-Source Method with Spatial Coherency and Correlation Characteristics

Cited by 19 publications

References 30 publications

Stochastic simulation of regionalized ground motions using wavelet packets and cokriging analysis

Stochastic simulation of regionalized ground motions using wavelet packets and cokriging analysis

Comparison of seismic responses of a reticulated dome under stochastic uniform and spatially correlated and coherent multiple-support excitation for a scenario seismic event

Estimation of Seismic Loss for a Portfolio of Buildings under Bidirectional Horizontal Ground Motions due to a Scenario Cascadia Event

Contact Info

Product

Resources

About