LSSVM-Based Rock Failure Criterion and Its Application in Numerical Simulation
A rock failure criterion is very important for the prediction of the failure of rocks or rock masses in rock mechanics and engineering. Least squares support vector machines (LSSVM) are a powerful tool for addressing complex nonlinear problems. This paper describes a LSSVM-based rock failure criteri...
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2015/246068 |
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doaj-82916b6733144cd2b410b0e99107e8892020-11-24T23:04:52ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472015-01-01201510.1155/2015/246068246068LSSVM-Based Rock Failure Criterion and Its Application in Numerical SimulationChangxing Zhu0Hongbo Zhao1Zhongliang Ru2School of Civil Engineering, Henan Polytechnic University, Jiaozuo 454003, ChinaSchool of Civil Engineering, Henan Polytechnic University, Jiaozuo 454003, ChinaSchool of Civil Engineering, Henan Polytechnic University, Jiaozuo 454003, ChinaA rock failure criterion is very important for the prediction of the failure of rocks or rock masses in rock mechanics and engineering. Least squares support vector machines (LSSVM) are a powerful tool for addressing complex nonlinear problems. This paper describes a LSSVM-based rock failure criterion for analyzing the deformation of a circular tunnel under different in situ stresses without assuming a function form. First, LSSVM was used to represent the nonlinear relationship between the mechanical properties of rock and the failure behavior of the rock in order to construct a rock failure criterion based on experimental data. Then, this was used in a hypothetical numerical analysis of a circular tunnel to analyze the mechanical behavior of the rock mass surrounding the tunnel. The Mohr-Coulomb and Hoek-Brown failure criteria were also used to analyze the same case, and the results were compared; these clearly indicate that LSSVM can be used to establish a rock failure criterion and to predict the failure of a rock mass during excavation of a circular tunnel.http://dx.doi.org/10.1155/2015/246068 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Changxing Zhu Hongbo Zhao Zhongliang Ru |
spellingShingle |
Changxing Zhu Hongbo Zhao Zhongliang Ru LSSVM-Based Rock Failure Criterion and Its Application in Numerical Simulation Mathematical Problems in Engineering |
author_facet |
Changxing Zhu Hongbo Zhao Zhongliang Ru |
author_sort |
Changxing Zhu |
title |
LSSVM-Based Rock Failure Criterion and Its Application in Numerical Simulation |
title_short |
LSSVM-Based Rock Failure Criterion and Its Application in Numerical Simulation |
title_full |
LSSVM-Based Rock Failure Criterion and Its Application in Numerical Simulation |
title_fullStr |
LSSVM-Based Rock Failure Criterion and Its Application in Numerical Simulation |
title_full_unstemmed |
LSSVM-Based Rock Failure Criterion and Its Application in Numerical Simulation |
title_sort |
lssvm-based rock failure criterion and its application in numerical simulation |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2015-01-01 |
description |
A rock failure criterion is very important for the prediction of the failure of rocks or rock masses in rock mechanics and engineering. Least squares support vector machines (LSSVM) are a powerful tool for addressing complex nonlinear problems. This paper describes a LSSVM-based rock failure criterion for analyzing the deformation of a circular tunnel under different in situ stresses without assuming a function form. First, LSSVM was used to represent the nonlinear relationship between the mechanical properties of rock and the failure behavior of the rock in order to construct a rock failure criterion based on experimental data. Then, this was used in a hypothetical numerical analysis of a circular tunnel to analyze the mechanical behavior of the rock mass surrounding the tunnel. The Mohr-Coulomb and Hoek-Brown failure criteria were also used to analyze the same case, and the results were compared; these clearly indicate that LSSVM can be used to establish a rock failure criterion and to predict the failure of a rock mass during excavation of a circular tunnel. |
url |
http://dx.doi.org/10.1155/2015/246068 |
work_keys_str_mv |
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