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On Contraction of Three-Dimensional Multiple Shear Mechanism Model for Evaluation of Large Scale Liquefaction Using High Performance Computing

1
Nuclear Facilities Division, Taisei Corporation, 1-25-1, Nishi Shinjuku, Shinjuku-ku, Tokyo 163-0606, Japan
2
Earthquake Research Institute, The University of Tokyo, 1-1-1, Yayoi, Bunkyo-ku, Tokyo 113-0032, Japan
*
Author to whom correspondence should be addressed.
Geosciences 2019, 9(1), 38; https://doi.org/10.3390/geosciences9010038
Received: 29 November 2018 / Revised: 19 December 2018 / Accepted: 8 January 2019 / Published: 12 January 2019
(This article belongs to the Special Issue Advances in Computational Geomechanics)
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Abstract

For more reliable evaluation of liquefaction, an analysis model of higher fidelity should be used even though it requires more numerical computation. We developed a parallel finite element method (FEM), implemented with the non-linear multiple shear mechanism model. A bottleneck experienced when implementing the model is the use of vast amounts of CPU memory for material state parameters. We succeeded in drastically reducing the computation requirements of the model by suitably approximating the formulation of the model. An analysis model of high fidelity was constructed for a soil-structure system, and the model was analyzed by using the developed parallel FEM on a parallel computer. The amount of required CPU memory was reduced. The computation time was reduced as well, and the practical applicability of the developed parallel FEM is demonstrated. View Full-Text
Keywords: non-linear constitutive relation; multiple shear mechanism; effective stress analysis; large-scale numerical model; high performance computing non-linear constitutive relation; multiple shear mechanism; effective stress analysis; large-scale numerical model; high performance computing
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Hotta, W.; Suzuki, S.; Hori, M. On Contraction of Three-Dimensional Multiple Shear Mechanism Model for Evaluation of Large Scale Liquefaction Using High Performance Computing. Geosciences 2019, 9, 38.

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