Data assimilation using the particle filter for identifying the elasto-plastic material properties of geomaterials

Akira Murakami, Takayuki Shuku, Shin-ichi Nishimura, Kazunori Fujisawa, Kazuyuki Nakamura

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

A computational method, incorporating the finite element model (FEM) into data assimilation using the particle filter, is presented for identifying elasto-plastic material properties based on sequential measurements under the known changing traction boundary conditions to overcome some difficulties in identifying the parameters for elasto-plastic problems from which the existing inverse analysis strategies have suffered. A soil-water coupled problem, which uses the elasto-plastic constitutive model, is dealt with as the geotechnical application. Measured data on the settlement and the pore pressure are obtained from a synthetic FEM computation as the forward problem under the known parameters to be identified for both the element tests and the ground behavior during the embankment construction sequence. Parameter identification for elasto-plastic problems, such as soil behavior, should be made by considering the measurements of deformation and/or pore pressure step by step from the initial stage of construction and throughout the deformation history under the changing traction boundary conditions because of the embankment or the excavation because the ground behavior is highly dependent on the loading history. Thus, it appears that sequential data assimilation techniques, such as the particle filter, are the preferable tools that can provide estimates of the state variables, that is, deformation, pore pressure, and unknown parameters, for the constitutive model in geotechnical practice. The present paper discusses the priority of the particle filter in its application to initial/boundary value problems for elasto-plastic materials and demonstrates a couple of numerical examples.

Original languageEnglish
Pages (from-to)1642-1669
Number of pages28
JournalInternational Journal for Numerical and Analytical Methods in Geomechanics
Volume37
Issue number11
DOIs
Publication statusPublished - Aug 10 2013

Fingerprint

data assimilation
Materials properties
plastic
Plastics
filter
Pore pressure
pore pressure
Embankments
Constitutive models
embankment
boundary condition
Boundary conditions
inverse analysis
Soils
Computational methods
history
Excavation
Boundary value problems
Identification (control systems)
excavation

Keywords

  • Data assimilation
  • Inverse problem
  • Particle filter
  • Soil-water coupled FEM

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Materials Science(all)
  • Mechanics of Materials
  • Computational Mechanics

Cite this

Data assimilation using the particle filter for identifying the elasto-plastic material properties of geomaterials. / Murakami, Akira; Shuku, Takayuki; Nishimura, Shin-ichi; Fujisawa, Kazunori; Nakamura, Kazuyuki.

In: International Journal for Numerical and Analytical Methods in Geomechanics, Vol. 37, No. 11, 10.08.2013, p. 1642-1669.

Research output: Contribution to journalArticle

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