中国安全科学学报 ›› 2019, Vol. 29 ›› Issue (12): 28-34.doi: 10.16265/j.cnki.issn1003-3033.2019.12.005

• 安全系统学 • 上一篇    下一篇

基于因素空间的尾矿坝稳定性综合评价

李辉1,2 讲师, 易富**3 教授, 张佳4 讲师   

  1. 1 辽宁铁道职业技术学院 城市轨道交通学院,辽宁 锦州 121000;
    2 辽宁工程技术大学 土木工程学院,辽宁 阜新 123000;
    3 辽宁工程技术大学 建筑与交通学院,辽宁 阜新 123000;
    4 辽宁铁道职业技术学院 铁道工程学院,辽宁 锦州 121000
  • 收稿日期:2019-09-10 修回日期:2019-11-15 出版日期:2019-12-28 发布日期:2020-11-24
  • 通讯作者: ** 易 富(1978—),男,河北张北人,博士,教授,博士生导师,主要从事环境岩土方面的研究工作。E-mail:yifu9716@163.com。
  • 作者简介:李 辉 (1985—),男,山东郓城人,博士研究生,讲师,主要从事智能岩土方面的工作。E-mail:lh13464857601@126.com。
  • 基金资助:
    国家自然科学基金资助(51774163)。

Comprehensive stability evaluation of tailing dam based on factor space

LI Hui1,2, YI Fu3, ZHANG Jia4   

  1. 1 School of Urban Rail Transit, Liaoning Railway Vocational and Technical College, Jinzhou Liaoning 121000, China;
    2 School of Civil Engineering, Liaoning Technical University, Fuxin Liaoning 123000, China;
    3 College of Architecture and Transportation, Liaoning Technical University, Fuxin Liaoning 123000, China;
    4 School of Railway Engineering, Liaoning Railway Vocational and Technical College, Jinzhou Liaoning 121000, China
  • Received:2019-09-10 Revised:2019-11-15 Online:2019-12-28 Published:2020-11-24

摘要: 针对影响尾矿坝稳定性因素繁多且包含大量未确知信息的问题,提出一种基于因素空间的综合评价模型,构建用于尾矿坝稳定性综合评价的因素空间,并引入未确知数学理论,建立因素空间-未确知测度模型;赋予尾矿坝稳定性影响因素变动的组合权重,通过因素合成实现因素空间降维;以某尾矿坝为例,采用置信度准则综合评价尾矿坝稳定性,验证模型可行性与适用性。结果表明:该模型评价结果与现场勘查结果一致,且完成影响因素危险程度排序,进一步提高尾矿坝稳定性评价准确性,为尾矿坝稳定性的科学评估提供参考。

关键词: 因素空间, 未确知测度, 变权, 降维, 置信度准则, 尾矿坝稳定性

Abstract: Considering that stability of tailing dam is affected by many factors which contain unascertained information, a comprehensive stability evaluation model is proposed based on factor space. Firstly, factor space for comprehensive evaluation was constructed, and unascertained mathematical theory was introduced to establish a factor space-unascertained measurement model. Then, variable combined weights were assigned to influencing factors, and dimensionality reduction of factor space was accomplished through factor synthesis. Finally, with a tailing dam as an example, its stability was evaluated by using confidence criterion, and feasibility and applicability of proposed model were verified. The research shows that evaluation results of this model are consistent with that of field survey, and moreover risk degree ranking of influencing factors is accomplished, which can not only improve evaluation accuracy, but also provide reference for scientific stability evaluation of tailing dam.

Key words: factor space, unascertained measurement, variable weight, dimensionality reduction, confidence criterion, stability of tailing dam

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