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Indexed by:期刊论文

Date of Publication:2013-04-01

Journal:ENVIRONMENTAL EARTH SCIENCES

Included Journals:SCIE、EI、Scopus

Volume:68

Issue:8

Page Number:2337-2345

ISSN No.:1866-6280

Key Words:Rock mass stability estimation; Projection pursuit method; Artificial bee colony algorithm; Multi-factor comprehensive evaluation

Abstract:Because of the complexity of factors that affect rock mass stability, the design and decision-making in related engineering cannot rely solely on theoretical analysis and numerical calculation, but depend on the comprehensive judgment of experts. In pursuit of a statistical approach that may improve this disparity, an artificial bee colony algorithm-based projection pursuit (ABC-PP) method is presented for rock mass stability determination. The ABC-PP method is a powerful tool to deal with high-dimension problems, which characterize rock mass stability assessment practice. Two experiments are employed to demonstrate the efficiency of the ABC-PP method. In the first case, the state of stability is classified at two levels: stable and failed, whereas in the second case stability is classified at five levels (1-5) to test the capability of multi-level prediction of the ABC-PP method. Results show that the ABC-PP method could predict the rock mass stability accurately and may also provide the relative importance of specific controls on stability.