Simulation of multistage excavation based on a 3D spectral-element method

Hom Nath Gharti; Volker Oye; Dimitri Komatitsch; Jeroen Tromp

doi:10.1016/j.compstruc.2012.03.005

Simulation of multistage excavation based on a 3D spectral-element method

Hom Nath Gharti, Volker Oye, Dimitri Komatitsch, Jeroen Tromp

Research output: Contribution to journal › Article › peer-review

21 Scopus citations

Abstract

We implement a 3D spectral-element method for multistage excavation problems. To simulate excavation in elastoplastic soils, we employ a Mohr-Coulomb yield criterion using an initial strain method. We parallelize the software based on non-overlapping domain decomposition using MPI. We verify the uniqueness principle for multistage excavation in linear elastic materials. We validate our serial and parallel programs, and illustrate several examples of multistage excavation in elastoplastic materials. Finally, we apply our software to a model of the Pyhäsalmi ore mine in Finland. Strong-scaling performance tests involving multistage excavation show that the parallel program performs reasonably well for large-scale problems.

Original language	English (US)
Pages (from-to)	54-69
Number of pages	16
Journal	Computers and Structures
Volume	100-101
DOIs	https://doi.org/10.1016/j.compstruc.2012.03.005
State	Published - Jun 2012

All Science Journal Classification (ASJC) codes

Civil and Structural Engineering
Modeling and Simulation
General Materials Science
Mechanical Engineering
Computer Science Applications

Keywords

Elastoplasticity
Mining
Multistage excavation
Parallel processing
Spectral-element method

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10.1016/j.compstruc.2012.03.005

Cite this

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title = "Simulation of multistage excavation based on a 3D spectral-element method",

abstract = "We implement a 3D spectral-element method for multistage excavation problems. To simulate excavation in elastoplastic soils, we employ a Mohr-Coulomb yield criterion using an initial strain method. We parallelize the software based on non-overlapping domain decomposition using MPI. We verify the uniqueness principle for multistage excavation in linear elastic materials. We validate our serial and parallel programs, and illustrate several examples of multistage excavation in elastoplastic materials. Finally, we apply our software to a model of the Pyh{\"a}salmi ore mine in Finland. Strong-scaling performance tests involving multistage excavation show that the parallel program performs reasonably well for large-scale problems.",

keywords = "Elastoplasticity, Mining, Multistage excavation, Parallel processing, Spectral-element method",

author = "Gharti, {Hom Nath} and Volker Oye and Dimitri Komatitsch and Jeroen Tromp",

note = "Funding Information: We thank Daniela K{\"u}hn, Michael Roth, and Val{\'e}rie Maupin for helpful discussions and suggestions, Katja Sahala and ISS for access to the mine model and in-mine data, and Ricardo M. Garcia, Jr. for his help with meshing. Parallel programs were run on the Titan cluster owned by the University of Oslo and the Norwegian metacenter for High Performance Computing (NOTUR) , and operated by the Research Computing Services group at USIT, the University of Oslo IT-department; and at the Princeton Institute for Computational Science and Engineering (PICSciE), USA. 3D data were visualized using the open-source parallel visualization software package ParaView/VTK ( www.paraview.org ). This work was funded in part by the Norwegian Research Council , and supported by industry partners BP, Statoil, and Total. We thank two anonymous reviewers for their insightful remarks. Copyright: Copyright 2012 Elsevier B.V., All rights reserved.",

year = "2012",

month = jun,

doi = "10.1016/j.compstruc.2012.03.005",

language = "English (US)",

volume = "100-101",

pages = "54--69",

journal = "Computers and Structures",

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AU - Gharti, Hom Nath

AU - Oye, Volker

AU - Komatitsch, Dimitri

AU - Tromp, Jeroen

N1 - Funding Information: We thank Daniela Kühn, Michael Roth, and Valérie Maupin for helpful discussions and suggestions, Katja Sahala and ISS for access to the mine model and in-mine data, and Ricardo M. Garcia, Jr. for his help with meshing. Parallel programs were run on the Titan cluster owned by the University of Oslo and the Norwegian metacenter for High Performance Computing (NOTUR) , and operated by the Research Computing Services group at USIT, the University of Oslo IT-department; and at the Princeton Institute for Computational Science and Engineering (PICSciE), USA. 3D data were visualized using the open-source parallel visualization software package ParaView/VTK ( www.paraview.org ). This work was funded in part by the Norwegian Research Council , and supported by industry partners BP, Statoil, and Total. We thank two anonymous reviewers for their insightful remarks. Copyright: Copyright 2012 Elsevier B.V., All rights reserved.

PY - 2012/6

Y1 - 2012/6

N2 - We implement a 3D spectral-element method for multistage excavation problems. To simulate excavation in elastoplastic soils, we employ a Mohr-Coulomb yield criterion using an initial strain method. We parallelize the software based on non-overlapping domain decomposition using MPI. We verify the uniqueness principle for multistage excavation in linear elastic materials. We validate our serial and parallel programs, and illustrate several examples of multistage excavation in elastoplastic materials. Finally, we apply our software to a model of the Pyhäsalmi ore mine in Finland. Strong-scaling performance tests involving multistage excavation show that the parallel program performs reasonably well for large-scale problems.

AB - We implement a 3D spectral-element method for multistage excavation problems. To simulate excavation in elastoplastic soils, we employ a Mohr-Coulomb yield criterion using an initial strain method. We parallelize the software based on non-overlapping domain decomposition using MPI. We verify the uniqueness principle for multistage excavation in linear elastic materials. We validate our serial and parallel programs, and illustrate several examples of multistage excavation in elastoplastic materials. Finally, we apply our software to a model of the Pyhäsalmi ore mine in Finland. Strong-scaling performance tests involving multistage excavation show that the parallel program performs reasonably well for large-scale problems.

KW - Elastoplasticity

KW - Mining

KW - Multistage excavation

KW - Parallel processing

KW - Spectral-element method

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JO - Computers and Structures

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Simulation of multistage excavation based on a 3D spectral-element method

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