Simulation of multi-dimensional, multi-variate, non-Gaussian, homogeneous stochastic fields with applications to soil liquefaction

Radu Popescu, George Deodatis, Jean-Herve Prevost

Research output: Contribution to conferencePaper

1 Scopus citations

Abstract

A spectral representation-based simulation methodology is proposed to generate sample functions of a multi-variate, multi-dimensional, non-Gaussian stochastic vector field, according to a prescribed cross-spectral density matrix and prescribed (non-Gaussian) probability distribution functions. The proposed methodology is integrated into a Monte Carlo simulation algorithm that is used to assess the effects of stochastic variability of soil properties on the response of soil deposits to seismic excitation.

Original languageEnglish (US)
Pages808-811
Number of pages4
StatePublished - Jan 1 1996
EventProceedings of the 1996 7th Specialty Conference on Probabilistic Mechanics and Structural Reliability - Worcester, MA, USA
Duration: Aug 7 1996Aug 9 1996

Other

OtherProceedings of the 1996 7th Specialty Conference on Probabilistic Mechanics and Structural Reliability
CityWorcester, MA, USA
Period8/7/968/9/96

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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    Popescu, R., Deodatis, G., & Prevost, J-H. (1996). Simulation of multi-dimensional, multi-variate, non-Gaussian, homogeneous stochastic fields with applications to soil liquefaction. 808-811. Paper presented at Proceedings of the 1996 7th Specialty Conference on Probabilistic Mechanics and Structural Reliability, Worcester, MA, USA, .