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ABSTRACT
Large Strain Consolidation Stochastic Finite Element Method for Soft-clay Road Embankment Analysis
The International Conference on Computational & Experimental Engineering and Sciences 2011, 18(3), 75-76. https://doi.org/10.3970/icces.2011.018.075
Abstract
This paper presents a method for the large strain consolidation analysis of soft-clay road embankment with stochastic parameters to random excitation. Based on the large strain theory of continuum material, Biot consolidation theory and Neumann stochastic finite element method (NSFEM), the large strain consolidation NSFEM (LSC-NSFEM) has been established. A program of LSC-NSFEM is designed to analyze soft-clay road embankment. The residue iteration method is used to deal with the nonlinear fluctuating part of stiffness matrix, and the approximate algorithm of the fluctuating part of stiffness matrix is designed to improve LSC-NSFEM program efficiency.Cite This Article
APA Style
Tao, L., Jian, G., Yi-ping, Z. (2011). Large strain consolidation stochastic finite element method for soft-clay road embankment analysis. The International Conference on Computational & Experimental Engineering and Sciences, 18(3), 75-76. https://doi.org/10.3970/icces.2011.018.075
Vancouver Style
Tao L, Jian G, Yi-ping Z. Large strain consolidation stochastic finite element method for soft-clay road embankment analysis. Int Conf Comput Exp Eng Sciences . 2011;18(3):75-76 https://doi.org/10.3970/icces.2011.018.075
IEEE Style
L. Tao, G. Jian, and Z. Yi-ping, “Large Strain Consolidation Stochastic Finite Element Method for Soft-clay Road Embankment Analysis,” Int. Conf. Comput. Exp. Eng. Sciences , vol. 18, no. 3, pp. 75-76, 2011. https://doi.org/10.3970/icces.2011.018.075
Copyright © 2011 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.