The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Simulation of synthetic ground motions for specified earthquake and site characteristics
Abstract
A method for generating a suite of synthetic ground motion time‐histories for specified earthquake and site characteristics defining a design scenario is presented. The method employs a parameterized stochastic model that is based on a modulated, filtered white‐noise process. The model parameters characterize the evolving intensity, predominant frequency, and bandwidth of the acceleration time‐history, and can be identified by matching the statistics of the model to the statistics of a target‐recorded accelerogram. Sample ‘observations’ of the parameters are obtained by fitting the model to a subset of the NGA database for far‐field strong ground motion records on firm ground. Using this sample, predictive equations are developed for the model parameters in terms of the faulting mechanism, earthquake magnitude, source‐to‐site distance, and the site shear‐wave velocity. For any specified set of these earthquake and site characteristics, sets of the model parameters are generated, which are in turn used in the stochastic model to generate the ensemble of synthetic ground motions. The resulting synthetic acceleration as well as corresponding velocity and displacement time‐histories capture the main features of real earthquake ground motions, including the intensity, duration, spectral content, and peak values. Furthermore, the statistics of their resulting elastic response spectra closely agree with both the median and the variability of response spectra of recorded ground motions, as reflected in the existing prediction equations based on the NGA database. The proposed method can be used in seismic design and analysis in conjunction with or instead of recorded ground motions. Copyright © 2010 John Wiley & Sons, Ltd.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Tectonic stress and the spectra of seismic shear waves from earthquakes
Brune, J. N. (1970) · Journal of Geophysical Research · doi:10.1029/jb075i026p04997 · Cited by 5,242
Introduction to Multivariate Statistical Analysis.
Madow, W. G., & Anderson, T. W. (1959) · The American Mathematical Monthly · doi:10.2307/2308777 · Cited by 3,878
Boore, D. M., & Atkinson, G. M. (2008) · Earthquake Spectra · doi:10.1193/1.2830434 · Cited by 1,681
A STUDY ON THE DURATION OF STRONG EARTHQUAKE GROUND MOTION
Trifunac, M. D., & Brady, A. (1975) · CaltechAUTHORS (California Institute of Technology) · doi:10.1785/bssa0650030581 · Cited by 1,142
Summary of the Abrahamson & Silva NGA Ground‐Motion Relations
Abrahamson, N., & Silva, W. (2008) · Earthquake Spectra · doi:10.1193/1.2924360 · Cited by 788
Seismic Design for Nuclear Power Plants
Jennings, P. C. (1971) · Journal of Nuclear Energy · doi:10.1016/0022-3107(71)90047-5 · Cited by 663
AN IMPROVED METHOD OF MATCHING RESPONSE SPECTRA OF RECORDED EARTHQUAKE GROUND MOTION USING WAVELETS
HANCOCK, J., WATSON-LAMPREY, J., ABRAHAMSON, N. A., BOMMER∗, J. J., MARKATIS, A., McCOYH, E., & MENDIS, R. (2006) · Journal of Earthquake Engineering · doi:10.1080/13632460609350629 · Cited by 594
Random Vibrations: Analysis of Structural and Mechanical Systems
Lutes, L. D., & Sarkani, S. (2011) · Cited by 473
Ameri, G., Gallovič, F., Pacor, F., & Emolo, A. (2009) · Bulletin of the Seismological Society of America · doi:10.1785/0120080240 · Cited by 40
Cited by
Kamariotis, A., Vlachas, K., Ntertimanis, V., Koune, I., Cicirello, A., & Chatzi, E. (2025) · ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering · doi:10.1115/1.4067140 · Cited by 15
Metadata
- Authors
- Rezaeian, S., & Der Kiureghian, A.
- Venue
- Earthquake Engineering & Structural Dynamics
- Publisher
- Wiley
- Published
- 2010-07-27
- Volume
- 39
- Issue
- 10
- Pages
- 1155-1180
- ISSN
- 0098-8847 (ISSN-L)
- 1096-9845
- OpenAlex
- W2042858707
- Cited by
- 344
- References
- 9
- FWCI
- 27.48
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Simulation of synthetic ground motions for specified earthquake and site characteristics. https://app.cochat.ai/papers/10.1002/eqe.997
- The paper
- Rezaeian, S., & Der Kiureghian, A. (2010). Simulation of synthetic ground motions for specified earthquake and site characteristics. Earthquake Engineering & Structural Dynamics. https://doi.org/10.1002/eqe.997
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.