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Back Analysis of Geomechanical Parameters of Rock Masses Based on Seepage-Stress Coupled Analysis
Joint Authors
Deng, Xianghui
Yuan, Dongyang
Yang, Dongsheng
Zhang, Changsheng
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-19
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Given that rock masses are complex, the geomechanical parameters of rock masses are hard to determine in underground engineering.
In this paper, the inverse model and method are established to identify the parameters based on the coupled stress and fluid flow model combined with the finite element method and adaptive genetic algorithm.
Moreover, the model and method are applied in the Lianghekou highway tunnel, and the initial permeability coefficients of the stratum and the lateral pressure coefficients of the initial ground stress are identified by the back analysis with relative errors of the measured and fitted values at measuring points below 5%.
Results show that the inverse model and method are effective and sound.
American Psychological Association (APA)
Deng, Xianghui& Yuan, Dongyang& Yang, Dongsheng& Zhang, Changsheng. 2017. Back Analysis of Geomechanical Parameters of Rock Masses Based on Seepage-Stress Coupled Analysis. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1190018
Modern Language Association (MLA)
Deng, Xianghui…[et al.]. Back Analysis of Geomechanical Parameters of Rock Masses Based on Seepage-Stress Coupled Analysis. Mathematical Problems in Engineering No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1190018
American Medical Association (AMA)
Deng, Xianghui& Yuan, Dongyang& Yang, Dongsheng& Zhang, Changsheng. Back Analysis of Geomechanical Parameters of Rock Masses Based on Seepage-Stress Coupled Analysis. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1190018
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190018