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

Civil Engineering

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