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

• DOI: 10.1002/nag.2125
• Publication Date: 2012-08-02T17:33:05Z
• Authors: Akira Murakami; Takayuki Shuku; Shin‐ichi Nishimura; Kazunori Fujisawa; Kazuyuki Nakamura
• Keywords: 0211 other engineering and technologies; 02 engineering and technology

SUMMARY A computational method, incorporating the finite element model (FEM) into data assimilation using particle filter, is presented for identifying elasto‐plastic material properties based on sequential measurements under known changing traction boundary conditions to overcome some difficulties in parameters problems from which existing inverse analysis strategies have suffered. soil–water coupled problem, uses constitutive model, dealt with as geotechnical application. Measured settlement and pore pressure are obtained a synthetic FEM computation forward problem be identified both tests ground behavior during embankment construction sequence. Parameter identification problems, such soil behavior, should made by considering of deformation and/or step initial stage throughout history because or excavation highly dependent loading history. Thus, it appears that techniques, preferable tools can provide estimates state variables, is, deformation, pressure, unknown parameters, practice. The present paper discusses priority filter its application initial/boundary value materials demonstrates couple numerical examples. Copyright © 2012 John Wiley & Sons, Ltd.