Prediction of long-term settlement and evaluation of pore water pressure using particle filter

Toshifumi Shibata, Takayuki Shuku, Akira Murakami, Shin-ichi Nishimura, Kazunori Fujisawa, Noritaka Hasegawa, Satoshi Nonami

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

The present paper showcases a numerical simulation of the long-term behavior of a foundation and an evaluation of the pore water pressure on Kobe Airport Island. To calculate the behavior of the ground and the pore water pressure, a numerical analysis is implemented using an elasto-plastic FEM for soil–water coupled problems with the Cam-clay model. However, numerical difficulties still remain in estimating the elasto-plastic parameters because of the nonlinearity of the materials and the uncertainty of the initial/boundary conditions. To account for these difficulties, a data assimilation technique, the particle filter, is adopted to identify the soil parameters using field measurements. The numerical simulation is carried out with the identified parameters to predict the long-term settlement and to evaluate the pore water pressure of the improved ground for two cases of boundary conditions. The outcomes show a good agreement with the direct measurements of the long-term settlement and the observed pore water pressure.

Original languageEnglish
JournalSoils and Foundations
DOIs
Publication statusAccepted/In press - Jan 1 2018

Keywords

  • Data assimilation
  • Inverse analysis
  • Long-term prediction
  • Particle filter
  • Soil-water coupled FEM

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Geotechnical Engineering and Engineering Geology

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