Numerical Analysis of the Overtopping Failure of the Tailings Dam Model Based on Inception Similarity Optimization

Author:

Qiu Deli1,Xu Jiangdong2,Lin Hai2ORCID

Affiliation:

1. Jiangxi Provincial Architectural Design and Research Institute Group Co., Ltd., Nanchang 330046, China

2. School of Infrastructure Engineering, Nanchang University, Nanchang 330031, China

Abstract

The analysis of overtopping dam break caused by extreme rainstorms and other special circumstances is very important in the feasibility analysis of new construction or expansion projects of tailings reservoirs. Reduced-scale physical model tests can directly reflect the topography and dam-break influence range, but the reasonable selection of model dam material is the key to ensure the model’s similarity. Based on the similarity optimization of the limit state of scour inception of sediment particles, a new method for the model material of tailings dams can be proposed, but it needs to be verified by a similar overtopping model test. In this paper, the modeling and numerical calculation analysis of a prototype tailings dam and a similar reduced-scale model are carried out by using FLOW-3D v11.2 numerical software. The calculation results show that the model test scheme optimized by inception similarity can well reproduce the overtopping failure process of the prototype dam.

Funder

National Natural Science Foundation of China

National Natural Science Foundation of Jiangxi Province

Publisher

MDPI AG

Reference25 articles.

1. Advanced analysis of satellite data reveals ground deformation precursors to the Brumadinho Tailings Dam collapse;Grebby;Commun. Earth Environ.,2021

2. Dynamic characteristics of tailings reservoir under seismic load;Jin;Environ. Earth Sci.,2018

3. A new look at the statistics of tailings dam failures;Piciullo;Eng. Geol.,2022

4. A review of the European incidents in the worldwide context;Rico;J. Hazard. Mater.,2008

5. The 2019 Brumadinho tailings dam collapse: Possible cause and impacts of the worst human and environmental disaster in Brazil;Silva;Int. J. Appl. Earth Observ. Geoinf.,2020

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