Stochastic waveform inversion for probabilistic geotechnical site characterization

S. S. Parida, K. Sett, P. Singla

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

This study develops a stochastic inverse analysis methodology to probabilistically estimate site-specific soil modulus from geophysical test measurements by accounting for the uncertain spatial variability of the soil deposit, any measurement uncertainty and uncertainty due to limited data. Hypothesizing the soil modulus to be a three-dimensional, heterogeneous, anisotropic random field, the methodology first formulates and solves a forward model that mimic a geophysical experiment using a stochastic collocation approach to characterize the effect of spatially variable, uncertain soil modulus on the model response variables, for example, accelerations at the sensor locations. The stochastic collocation approach utilizes recently developed non-product quadrature method, conjugate unscented transformation, to accurately estimate statistical moments corresponding to the model response variables in a computationally efficient manner. The methodology then employs a minimum variance framework to merge the information obtained from the model prediction and the sparse geophysical test measurements to update the statistical information pertaining to the soil modulus. The methodology is illustrated using synthetic data from a fictitious geophysical experiment.

Original languageEnglish (US)
Title of host publicationProceedings of the 5th International Conference on Geotechnical and Geophysical Site Characterisation, ISC 2016
EditorsBarry M. Lehane, Hugo E. Acosta-Martinez, Richard Kelly
PublisherAustralian Geomechanics Society
Pages1459-1464
Number of pages6
ISBN (Electronic)9780994626127
StatePublished - Jan 1 2016
Event5th International Conference on Geotechnical and Geophysical Site Characterisation, ISC 2016 - Gold Coast, Australia
Duration: Sep 5 2016Sep 9 2016

Publication series

NameProceedings of the 5th International Conference on Geotechnical and Geophysical Site Characterisation, ISC 2016
Volume2

Other

Other5th International Conference on Geotechnical and Geophysical Site Characterisation, ISC 2016
CountryAustralia
CityGold Coast
Period9/5/169/9/16

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All Science Journal Classification (ASJC) codes

  • Geotechnical Engineering and Engineering Geology
  • Geophysics
  • Soil Science

Cite this

Parida, S. S., Sett, K., & Singla, P. (2016). Stochastic waveform inversion for probabilistic geotechnical site characterization. In B. M. Lehane, H. E. Acosta-Martinez, & R. Kelly (Eds.), Proceedings of the 5th International Conference on Geotechnical and Geophysical Site Characterisation, ISC 2016 (pp. 1459-1464). (Proceedings of the 5th International Conference on Geotechnical and Geophysical Site Characterisation, ISC 2016; Vol. 2). Australian Geomechanics Society.