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Bayesian Estimation of Nonlinear Soil Model Parameters Using Centrifuge Experimental Data

Seylabi, Elnaz Esmaeilzadeh and Ebrahimian, Hamed and Zhang, Wenyang and Asimaki, Domniki and Taciroglu, Ertugrul (2018) Bayesian Estimation of Nonlinear Soil Model Parameters Using Centrifuge Experimental Data. In: Geotechnical Earthquake Engineering and Soil Dynamics V: Slope Stability and Landslides, Laboratory Testing, and In Situ Testing. Geotechnical Special Publication. No.293. American Society of Civil Engineers , Reston, VA, pp. 404-413. ISBN 9780784481486.

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Calibration of nonlinear soil models from experimental data is an essential capability in research and engineering practice alike; however, this task is typically conducted by trial and error. In this study, we describe a Bayesian filtering technique, which is based on an unscented Kalman filter, to systematically assimilate data and estimate the parameters of a veritable soil plasticity model. We first verify the framework using a numerical example. Then, we use the technique to estimate the statistics of the parameters for a multiaxial plasticity model using data from a series of centrifuge tests and infer the maximum shear modulus G_(max), small strain damping, and shear modulus reduction curve G/G_(max). We show that the calibrated soil model, which has a vanished elastic range and a bounding surface, is successful in predicting the soil response for the range of input excitations used in the centrifuge tests. The technique is applicable to other soil models and can be implemented and utilized easily, provided that a standard interface to the soil material model is available.

Item Type:Book Section
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URLURL TypeDescription
Seylabi, Elnaz Esmaeilzadeh0000-0003-0718-372X
Ebrahimian, Hamed0000-0003-1992-6033
Asimaki, Domniki0000-0002-3008-8088
Additional Information:© 2018 American Society of Civil Engineers. Published online: June 07, 2018.
Series Name:Geotechnical Special Publication
Issue or Number:293
Record Number:CaltechAUTHORS:20190522-154056286
Persistent URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:95713
Deposited By: Tony Diaz
Deposited On:09 Mar 2020 14:56
Last Modified:16 Nov 2021 17:14

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