Safety Evaluation of Underground Caverns Based on Monte Carlo Method

Joint Authors

Cai, Mei-Feng
Guo, Qifeng
Pan, Jiliang
Dong, Zhihong
Ren, Fenhua

Source

Mathematical Problems in Engineering

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-01-13

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Civil Engineering

Abstract EN

In order to study the influence of joint fissures and rock parameters with random characteristics on the safety of underground caverns, several parameters affecting the stability of surrounding rock of underground caverns are selected.

According to the Monte Carlo method, random numbers satisfying normal distribution characteristics are established.

A three-dimensional model of underground caverns with random characteristics is established by discontinuous analysis software 3DEC and excavation simulations are carried out.

The maximum displacement at the numerical monitoring points of arch and floor is the safety evaluation index of the cavern.

The probability distribution and cumulative distribution function of the displacement at the top arch and floor are obtained, and the safety of a project is evaluated.

American Psychological Association (APA)

Guo, Qifeng& Dong, Zhihong& Cai, Mei-Feng& Ren, Fenhua& Pan, Jiliang. 2020. Safety Evaluation of Underground Caverns Based on Monte Carlo Method. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1197787

Modern Language Association (MLA)

Guo, Qifeng…[et al.]. Safety Evaluation of Underground Caverns Based on Monte Carlo Method. Mathematical Problems in Engineering No. 2020 (2020), pp.1-7.
https://search.emarefa.net/detail/BIM-1197787

American Medical Association (AMA)

Guo, Qifeng& Dong, Zhihong& Cai, Mei-Feng& Ren, Fenhua& Pan, Jiliang. Safety Evaluation of Underground Caverns Based on Monte Carlo Method. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1197787

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1197787