Numerical simulation of tailings dam failure based on the TDB_S model and application examples

Author:

Sui Jiaheng1,Ren Jie1,Cheng Heng2,Lei Yanan1,Shi Jihui1,Nan Shenghao1

Affiliation:

1. Xi’an University of Technology

2. Water Resources and Hydropower Research

Abstract

Abstract Tailings ponds are generally highly potential risk of dam failure. At present, the numerical model of tailings dam failure is not targeted, is not accurate enough, and the research on the dam failure mechanism is insufficient. For these reasons, in this paper, the TDB_S tailings dam failure numerical model is proposed, and together with three other common dam failure models, it is applied to analyze 18 tailings dam failure cases. The study results show that, the numerical model of tailings dam failure established in this paper can be used to better predict the final breach time and final breach area in most cases, and better predict the flow rate value under the premise of guaranteeing the accuracy of the time. The sensitivity analysis results show that, the dam material erosion coefficient kd exerts a significant effect on the peak flow rate of the breach and its occurrence moment.

Publisher

Research Square Platform LLC

Reference29 articles.

1. Laboratory experiments on failure characteristics of non-cohesive sediment natural dam in progressive failure mode;Jiang X;Environ Earth Sciences,2019

2. Advances in research of tailings dam failures;Jiang QH;Advances in Science and Technology of Water Resources,2017

3. Failure of a mine waste dump in Zimbabwe: Causes and consequences;Shakesby RA;Environmental Geology and Water Sciences,1991

4. Experimental Study of a Tailings impoundment dam failure due to overtopping;Wu T;mine water environ,2018

5. Global-scale impact analysis of mine tailings dam failures: 1915–2020;Islam K;Global Environmental Change,2021

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3