赵云川, 李琦, 陈江. 2012: 分位数回归在岩体力学参数选取中的应用. 工程地质学报, 20(2): 283-288.
    引用本文: 赵云川, 李琦, 陈江. 2012: 分位数回归在岩体力学参数选取中的应用. 工程地质学报, 20(2): 283-288.
    ZHAO Yunchuan, LI Qi, CHEN Jiang. 2012: APPLICATIONS OF QUANTILE REGRESSION TO SELECTION OF ROCK MASS MECHANICAL PARAMETERS. JOURNAL OF ENGINEERING GEOLOGY, 20(2): 283-288.
    Citation: ZHAO Yunchuan, LI Qi, CHEN Jiang. 2012: APPLICATIONS OF QUANTILE REGRESSION TO SELECTION OF ROCK MASS MECHANICAL PARAMETERS. JOURNAL OF ENGINEERING GEOLOGY, 20(2): 283-288.

    分位数回归在岩体力学参数选取中的应用

    APPLICATIONS OF QUANTILE REGRESSION TO SELECTION OF ROCK MASS MECHANICAL PARAMETERS

    • 摘要: 随着大型水电工程、大型桥梁、高层建筑和地下空间工程建设的发展,如何合理地确定岩体力学参数显得尤为重要,这将直接影响到工程的投资和可靠性。本文首先简要地介绍了分位数回归的概念和性质,接着以某水电站混凝土抗剪强度试验研究、模拟裂缝化灌抗剪强度试验研究、完整黏接裂缝芯样抗剪试验研究为背景,结合大坝设计相关规程要求,采用分位数回归对其力学参数进行选取分析研究。同时也采用传统的线性0.2分位值、点群中心法、优定斜率法对该试验成果进行了计算比较,确立分位数回归在二维岩体力学参数选取中的优势。通过以上分析研究,文中首次提出采用分位数回归进行岩体力学参数选取,为工程建设参数选取方法提供参考。

       

      Abstract: With the development of large-scale hydropower projects, large bridges projects, high-rise building projects, and underground space constructions, how to reasonably determine and select the rock mass mechanical parameters is even more important. The results of selection can directly affect the investment and reliability of the engineering projects. At first, this paper briefly introduces the nature and the concept of the quantile regression. Then, It discusses the backgrounds about the studies of the shear strength of well concrete, the shear strength of simulation crack & chemical grouting concrete dam and the shear strength of concrete with some small cracks in a hydropower station. It further examines the requirements of the relevant specifications with dam design. So, the quantile regression is used to the analysis of the selection of the mechanical parameters. At the same time, the paper uses the linear 0.2 sub-bit value method, the point group center method and the priority given slope method to make various analysis results to be compared. It establishes the advantage of the quantile regression for the two-dimensional mechanical parameters of rock mass. Based on the analysis of the content of the above, the quantile regression is first proposed for the selection of the rock mass mechanics parameters, which will serve the construction as a reference to the analysis of parameters.

       

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