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岩体结构面模拟的统计方法改进研究

Improvement of Statistical Method for Rock Mass Discontinuities Simulation

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【作者】 张斌黄俊

【Author】 ZHANG Bin;HUANG Jun;China Huaxi Engineering Design & Construction Co.,Ltd.;State Key Laboratory of Geohazard Prevention and Geoenvironment Protection,Chengdu University of Technology;

【机构】 中国华西工程设计建设有限公司地质灾害防治与地质环境保护国家重点实验室(成都理工大学)

【摘要】 基于西南某大型在建水电站建基面结构面的精测数据,对结构面模拟的统计方法加以改进,提高了结构面模拟的精度。对结构面数据进行直方图统计时,引入平均积分平方误差以优化带宽,使直方图统计的结果更精确;在蒙特卡洛模拟过程中,使用AD值和P值作为判定标准,定量确定各组数据对假定分布类型的拟合程度;尝试在结构面模拟中使用核密度估计方法,提高模拟精度,并降低工作量;与蒙特卡洛方法模拟结果比较,高斯内核的核密度估计方法得到的结果更精确。

【Abstract】 Based on accurate measured data of discontinuities on the foundation surface of a large hydropower station under construction in southwest China,the statistical method of discontinuities simulation is improved,and as a result,the accuracy of discontinuities simulation is also improved. The mean integrated squared error is introduced to optimize bandwidth when making histograms of discontinuities,which make the histograms more accurate. In Monte Carlo simulation process,the AD and P values are used as criteria to quantitatively determine how well each set of data fits the assumed distribution type. The kernel density estimation method is used in the simulation of discontinuities,which can improve simulation accuracy and reduce workload. Compared with the simulation results of Monte Carlo method,the kernel density estimation method using Gaussian kernel is more accurate.

  • 【分类号】TV223.1
  • 【网络出版时间】2019-02-28 11:11
  • 【被引频次】2
  • 【下载频次】137
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