• 更多栏目

    李俊杰

    • 教授     博士生导师   硕士生导师
    • 性别:男
    • 毕业院校:大连理工大学
    • 学位:博士
    • 所在单位:建设工程学院
    • 学科:水工结构工程. 防灾减灾工程及防护工程
    • 电子邮箱:lijunjie@dlut.edu.cn

    访问量:

    开通时间:..

    最后更新时间:..

    Application of the artificial bee colony algorithm-based projection pursuit method in statistical rock mass stability estimation

    点击次数:

    论文类型:期刊论文

    发表时间:2013-04-01

    发表刊物:ENVIRONMENTAL EARTH SCIENCES

    收录刊物:SCIE、EI、Scopus

    卷号:68

    期号:8

    页面范围:2337-2345

    ISSN号:1866-6280

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

    摘要: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.