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[1]蒋水华,朱明明,黄劲松.考虑尾矿材料参数空间变异性的尾矿坝稳定可靠度分析[J].中国安全生产科学技术,2019,15(12):72-77.[doi:10.11731/j.issn.1673-193x.2019.12.012]
　JIANG Shuihua,ZHU Mingming,HUANG Jinsong.Reliability analysis of tailings dam stability considering spatial variability of tailings materials parameters[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2019,15(12):72-77.[doi:10.11731/j.issn.1673-193x.2019.12.012]
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考虑尾矿材料参数空间变异性的尾矿坝稳定可靠度分析
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
15
期数:
2019年12期
页码:
72-77
栏目:
学术论著
出版日期:
2019-12-31

文章信息/Info

Title:
Reliability analysis of tailings dam stability considering spatial variability of tailings materials parameters
文章编号:
1673-193X(2019)-12-0072-06
作者:
蒋水华; 朱明明; 黄劲松
（南昌大学 建筑工程学院，江西 南昌 330031）
Author(s):
JIANG Shuihua;  ZHU Mingming;  HUANG Jinsong
(School of Civil Engineering and Architecture,Nanchang University,Nanchang Jiangxi 330031,China)
关键词:
尾矿坝; 空间变异性; 随机场; 可靠度; 非侵入式随机有限元法
Keywords:
tailings dam;  spatial variability;  random field;  reliability;  nonintrusive stochastic finite element method
分类号:
X936
DOI:
10.11731/j.issn.1673-193x.2019.12.012
文献标志码:
A
摘要:
为客观地评价尾矿坝稳定性，在随机场理论和极限平衡分析框架下，采用考虑参数空间变异性尾矿坝可靠度分析的非侵入式随机有限元法，通过KarhunenLoève级数展开方法离散尾矿材料参数（渗透系数、摩擦角等）随机场，利用Hermite随机多项式展开拟合尾矿坝安全系数与输入参数之间的隐式函数关系；再采用拉丁超立方抽样技术产生输入参数样本点求解多项式展开系数；最后，通过应用到一实际尾矿坝工程说明了该方法的有效性。结果表明，该方法可以真实地模拟尾矿材料的空间变异性对尾矿坝稳定性的影响，保证尾矿坝可靠度分析与确定性稳定分析互不耦合，与10 000次直接拉丁超立方抽样方法相比，该方法具有较高的计算精度和效率。
Abstract:
In order to evaluate the stability of tailings dam objectively,a nonintrusive stochastic finite element method considering the spatial variability of tailings materials parameters was developed for the reliability analysis of tailings dam under the framework of random field theory and limit equilibrium analysis.The KarhunenLoève series expansion method was adopted for the discretization of random fields of tailings materials parameters (e.g.,permeability coefficient and friction angle).The Hermite polynomial chaos expansion (HPCE) was utilized to fit the implicit function relationship between the safety coefficient of tailings dam and the input parameters,and the Latin hypercube sampling technology was employed to generate the sample points of input parameters for determining the coefficients of HPCE.Finally,the effectiveness of the proposed method was demonstrated by applying in an actual tailings dam engineering.The results showed that the proposed method could truly simulate the effect of the spatial variability of tailings materials parameters on the stability of tailings dam,and ensure the mutual noncoupling of the reliability analysis and the deterministic stability analysis of the tailings dam.In comparison with the Latin hypercube sampling method with a size of 10,000 samples,the proposed method achieved higher calculation accuracy and efficiency.

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备注/Memo

备注/Memo:
收稿日期： 2019-08-06；数字出版日期： 2019-12-26
* 基金项目： 江西省自然科学基金项目(20181ACB20008，2018ACB21017，20192BBG70078)
作者简介： 蒋水华，博士，副教授，主要研究方向为水利水电岩土工程可靠度与风险分析。
通信作者： 黄劲松，博士，教授，主要研究方向为岩土工程数值模拟与滑坡风险分析。
更新日期/Last Update: 2020-01-09