Abstract
In this study, a method is developed for predicting the future deformation of soft ground, based on measured data. Because it is difficult to predict the deformation behavior of soft ground on the basis of laboratory consolidation test results only, in situ observations are generally made. An inverse analysis is effective for identifying the in situ parameters of the ground and for predicting future deformation based on those parameters. In the method proposed, the induced anisotropy (transverse isotropy) of the ground is introduced to solve the problem of predicting lateral displacement, and a simplified hyperbolic model is introduced to simulate nonlinear shear behavior. Furthermore, the change in volume compressibility of the material and the decrease in permeability caused by consolidation are considered simultaneously through the use of a statistical model for the soil parameters. This statistical model, which takes the nonlinearity of the parameters into account, is called the stochastic nonlinear model (SNM). To verify the usefulness of the proposed method, the results of two-dimensional deformation tests are analyzed.
| Original language | English |
|---|---|
| Article number | 04014011 |
| Journal | International Journal of Geomechanics |
| Volume | 14 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Jun 1 2014 |
Fingerprint
Keywords
- Consolidation
- Deformation prediction
- Inverse analysis
- Model test
- Nonlinear stochastic process
- Observational method
- Statistical model
ASJC Scopus subject areas
- Soil Science
Cite this
Prediction of multidimensional deformation behavior based on observed values. / Nishimura, Shin-ichi; Shuku, Takayuki; Fujisawa, Kazunori.
In: International Journal of Geomechanics, Vol. 14, No. 3, 04014011, 01.06.2014.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Prediction of multidimensional deformation behavior based on observed values
AU - Nishimura, Shin-ichi
AU - Shuku, Takayuki
AU - Fujisawa, Kazunori
PY - 2014/6/1
Y1 - 2014/6/1
N2 - In this study, a method is developed for predicting the future deformation of soft ground, based on measured data. Because it is difficult to predict the deformation behavior of soft ground on the basis of laboratory consolidation test results only, in situ observations are generally made. An inverse analysis is effective for identifying the in situ parameters of the ground and for predicting future deformation based on those parameters. In the method proposed, the induced anisotropy (transverse isotropy) of the ground is introduced to solve the problem of predicting lateral displacement, and a simplified hyperbolic model is introduced to simulate nonlinear shear behavior. Furthermore, the change in volume compressibility of the material and the decrease in permeability caused by consolidation are considered simultaneously through the use of a statistical model for the soil parameters. This statistical model, which takes the nonlinearity of the parameters into account, is called the stochastic nonlinear model (SNM). To verify the usefulness of the proposed method, the results of two-dimensional deformation tests are analyzed.
AB - In this study, a method is developed for predicting the future deformation of soft ground, based on measured data. Because it is difficult to predict the deformation behavior of soft ground on the basis of laboratory consolidation test results only, in situ observations are generally made. An inverse analysis is effective for identifying the in situ parameters of the ground and for predicting future deformation based on those parameters. In the method proposed, the induced anisotropy (transverse isotropy) of the ground is introduced to solve the problem of predicting lateral displacement, and a simplified hyperbolic model is introduced to simulate nonlinear shear behavior. Furthermore, the change in volume compressibility of the material and the decrease in permeability caused by consolidation are considered simultaneously through the use of a statistical model for the soil parameters. This statistical model, which takes the nonlinearity of the parameters into account, is called the stochastic nonlinear model (SNM). To verify the usefulness of the proposed method, the results of two-dimensional deformation tests are analyzed.
KW - Consolidation
KW - Deformation prediction
KW - Inverse analysis
KW - Model test
KW - Nonlinear stochastic process
KW - Observational method
KW - Statistical model
UR - http://www.scopus.com/inward/record.url?scp=84929190763&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84929190763&partnerID=8YFLogxK
U2 - 10.1061/(ASCE)GM.1943-5622.0000334
DO - 10.1061/(ASCE)GM.1943-5622.0000334
M3 - Article
AN - SCOPUS:84929190763
VL - 14
JO - International Journal of Geomechanics
JF - International Journal of Geomechanics
SN - 1532-3641
IS - 3
M1 - 04014011
ER -