Data assimilation in geotechnical analysis using the particle filter

A. Murakami, S. Nishimura, K. Fujisawa, T. Shuku, Kazuyuki Nakamura

Research output: Contribution to conferencePaper

Abstract

This paper presents a computational method of data assimilation to identify the elasto-plastic parameters of geomaterials based on field and experimental measurements using a particle filter (PF) while overcoming some difficulties from which the existing inverse analysis strategies have suffered. By applying the 'sequential important sampling', one of the alternative computational procedures to the PF, the current paper shows a couple of numerical analyses, namely, 1) the observed settlement of a hypothetical ground under embankment loading and 2) measurements for a small scale experiment on saturated clay under continuous loading, to examine the applicability of the PF to geotechnical behavior in construction sequences.

Original languageEnglish
Publication statusPublished - 1 Dec 2011
Event14th Asian Regional Conference on Soil Mechanics and Geotechnical Engineering, ARC 2011 - Hong Kong, China
Duration: 23 May 201127 May 2011

Conference

Conference14th Asian Regional Conference on Soil Mechanics and Geotechnical Engineering, ARC 2011
CountryChina
CityHong Kong
Period23/05/1127/05/11

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  • Cite this

    Murakami, A., Nishimura, S., Fujisawa, K., Shuku, T., & Nakamura, K. (2011). Data assimilation in geotechnical analysis using the particle filter. Paper presented at 14th Asian Regional Conference on Soil Mechanics and Geotechnical Engineering, ARC 2011, Hong Kong, China.