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 language | English |
|---|---|
| Journal | Soils and Foundations |
| DOIs | |
| Publication status | Accepted/In press - Jan 1 2018 |
Fingerprint
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
Cite this
Prediction of long-term settlement and evaluation of pore water pressure using particle filter. / Shibata, Toshifumi; Shuku, Takayuki; Murakami, Akira; Nishimura, Shin-ichi; Fujisawa, Kazunori; Hasegawa, Noritaka; Nonami, Satoshi.
In: Soils and Foundations, 01.01.2018.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Prediction of long-term settlement and evaluation of pore water pressure using particle filter
AU - Shibata, Toshifumi
AU - Shuku, Takayuki
AU - Murakami, Akira
AU - Nishimura, Shin-ichi
AU - Fujisawa, Kazunori
AU - Hasegawa, Noritaka
AU - Nonami, Satoshi
PY - 2018/1/1
Y1 - 2018/1/1
N2 - 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.
AB - 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.
KW - Data assimilation
KW - Inverse analysis
KW - Long-term prediction
KW - Particle filter
KW - Soil-water coupled FEM
UR - http://www.scopus.com/inward/record.url?scp=85056730872&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85056730872&partnerID=8YFLogxK
U2 - 10.1016/j.sandf.2018.09.006
DO - 10.1016/j.sandf.2018.09.006
M3 - Article
AN - SCOPUS:85056730872
JO - Soils and Foundations
JF - Soils and Foundations
SN - 0038-0806
ER -