Prediction of multi-dimensional consolidation behavior based on the observed values

S. Nishimura; T. Shyuku; K. Fujisawa

Prediction of multi-dimensional consolidation behavior based on the observed values

S. Nishimura, T. Shyuku, K. Fujisawa

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Inverse analyses can be used to identify the in situ parameters of the ground from observed behavior. The identifi ed parameters are effective for accurately predicting future deformations. In this study, an inverse analysis method for the prediction of multi-dimensional deformations is discussed. Induced anisotropy and nonlinearity due to shear behavior are introduced into the method. Furthermore, the hardening of the material and the reduction of the permeability due to consolidation are simultaneously considered using statistical models for the soil parameters. To verify the availability of the proposed method, the results of two-dimensional consolidation tests are analyzed.

Original language	English
Title of host publication	Computer Methods for Geomechanics
Subtitle of host publication	Frontiers and New Applications
Pages	106-111
Number of pages	6
Publication status	Published - Dec 1 2011
Event	13th International Conference of the International Association for Computer Methods and Advances in Geomechanics, IACMAG 2011 - Melbourne, VIC, Australia Duration: May 9 2011 → May 11 2011

Publication series

Name	Computer Methods for Geomechanics: Frontiers and New Applications
Volume	1

Other

Other	13th International Conference of the International Association for Computer Methods and Advances in Geomechanics, IACMAG 2011
Country/Territory	Australia
City	Melbourne, VIC
Period	5/9/11 → 5/11/11

ASJC Scopus subject areas

Computational Theory and Mathematics
Geochemistry and Petrology

Cite this

Prediction of multi-dimensional consolidation behavior based on the observed values. / Nishimura, S.; Shyuku, T.; Fujisawa, K.
Computer Methods for Geomechanics: Frontiers and New Applications. 2011. p. 106-111 (Computer Methods for Geomechanics: Frontiers and New Applications; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Nishimura, S, Shyuku, T & Fujisawa, K 2011, Prediction of multi-dimensional consolidation behavior based on the observed values. in Computer Methods for Geomechanics: Frontiers and New Applications. Computer Methods for Geomechanics: Frontiers and New Applications, vol. 1, pp. 106-111, 13th International Conference of the International Association for Computer Methods and Advances in Geomechanics, IACMAG 2011, Melbourne, VIC, Australia, 5/9/11.

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N2 - Inverse analyses can be used to identify the in situ parameters of the ground from observed behavior. The identifi ed parameters are effective for accurately predicting future deformations. In this study, an inverse analysis method for the prediction of multi-dimensional deformations is discussed. Induced anisotropy and nonlinearity due to shear behavior are introduced into the method. Furthermore, the hardening of the material and the reduction of the permeability due to consolidation are simultaneously considered using statistical models for the soil parameters. To verify the availability of the proposed method, the results of two-dimensional consolidation tests are analyzed.

AB - Inverse analyses can be used to identify the in situ parameters of the ground from observed behavior. The identifi ed parameters are effective for accurately predicting future deformations. In this study, an inverse analysis method for the prediction of multi-dimensional deformations is discussed. Induced anisotropy and nonlinearity due to shear behavior are introduced into the method. Furthermore, the hardening of the material and the reduction of the permeability due to consolidation are simultaneously considered using statistical models for the soil parameters. To verify the availability of the proposed method, the results of two-dimensional consolidation tests are analyzed.

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T2 - 13th International Conference of the International Association for Computer Methods and Advances in Geomechanics, IACMAG 2011

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Prediction of multi-dimensional consolidation behavior based on the observed values

Abstract

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ASJC Scopus subject areas

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