Back Analysis of Geomechanical Parameters in Underground Engineering Using Artificial Bee Colony

Joint Authors

Zhao, Hongbo
Zhu, Changxing
Zhao, Ming

Source

The Scientific World Journal

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-07-17

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Medicine
Information Technology and Computer Science

Abstract EN

Accurate geomechanical parameters are critical in tunneling excavation, design, and supporting.

In this paper, a displacements back analysis based on artificial bee colony (ABC) algorithm is proposed to identify geomechanical parameters from monitored displacements.

ABC was used as global optimal algorithm to search the unknown geomechanical parameters for the problem with analytical solution.

To the problem without analytical solution, optimal back analysis is time-consuming, and least square support vector machine (LSSVM) was used to build the relationship between unknown geomechanical parameters and displacement and improve the efficiency of back analysis.

The proposed method was applied to a tunnel with analytical solution and a tunnel without analytical solution.

The results show the proposed method is feasible.

American Psychological Association (APA)

Zhu, Changxing& Zhao, Hongbo& Zhao, Ming. 2014. Back Analysis of Geomechanical Parameters in Underground Engineering Using Artificial Bee Colony. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1050639

Modern Language Association (MLA)

Zhu, Changxing…[et al.]. Back Analysis of Geomechanical Parameters in Underground Engineering Using Artificial Bee Colony. The Scientific World Journal No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-1050639

American Medical Association (AMA)

Zhu, Changxing& Zhao, Hongbo& Zhao, Ming. Back Analysis of Geomechanical Parameters in Underground Engineering Using Artificial Bee Colony. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1050639

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1050639