Shape and reinforcement optimization of underground tunnels

Ghabraie, Kazem and Xie, Yi Min and Huang, Xiaodong and Ren, Gang (2010) Shape and reinforcement optimization of underground tunnels. Journal of Computational Science and Technology, 4 (1). pp. 51-63.

Abstract

Design of support system and selecting an optimum shape for the opening are two important steps in designing excavations in rock masses. Currently selecting the shape and support design are mainly based on designer's judgment and experience. Both of these problems can be viewed as material distribution problems where one needs to find the optimum distribution of a material in a domain. Topology optimization techniques have proved to be useful in solving these kinds of problems in structural design. Recently the application of topology optimization techniques in reinforcement design around underground excavations has been studied by some researchers. In this paper a three-phase material model will be introduced changing between normal rock, reinforced rock, and void. Using such a material model both problems of shape and reinforcement design can be solved together. A well-known topology optimization technique used in structural design is bi-directional evolutionary structural optimization (BESO). In this paper the BESO technique has been extended to simultaneously optimize the shape of the opening and the distribution of reinforcements. Validity and capability of the proposed approach have been investigated through some examples.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: c. Japan Society of Mechanical Engineers.
Depositing User: Dr Kazem Ghabraie
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Agricultural, Civil and Environmental Engineering
Date Deposited: 28 Feb 2011 11:50
Last Modified: 03 Jul 2013 00:27
Uncontrolled Keywords: underground excavation; tunnel reinforcement; topology optimization; shape optimization; finite element analysis
Fields of Research (FOR2008): 01 Mathematical Sciences > 0103 Numerical and Computational Mathematics > 010302 Numerical Solution of Differential and Integral Equations
09 Engineering > 0905 Civil Engineering > 090501 Civil Geotechnical Engineering
01 Mathematical Sciences > 0103 Numerical and Computational Mathematics > 010303 Optimisation
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
Identification Number or DOI: doi: 10.1299/jcst.4.51
URI: http://eprints.usq.edu.au/id/eprint/18219

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