Research on Risk and Disaster Prediction of Tailings Dam Break in Complex Environments

Author:

LUO Changtai1,LI Dongwei1

Affiliation:

1. School of Civil and Architecture Engineering. East China University of Technology

Abstract

Abstract In response to the challenges posed by rapid development, wide-ranging disaster impact, and untimely warning of debris flow resulting from tailing dam failure, it is of great significance to study the mechanism of dam failure as well as the evolution law and affected area of debris flow for effective disaster prediction and risk assessment. Establish a 1:150 physical model for tailing dam failure test and combine it with RAMMS debris flow software to study the mechanism of tailing dam failure and the evolution law of rock flow in complex environments. By analyzing and comparing experimental data, the consequences of disaster risk following dam failure were summarized in a comprehensive manner. The results show that: The particle size distribution of the model sand should be moderate; The composition of particle size distribution has a significant impact on the collapse morphology of dam body after dam failure. The saturation line is the lifeline for tailing reservoir stability, and its level determines the degree of tailing saturation in the reservoir. The breach is situated at the midpoint of the dam crest. When the breach occurs, the inflow volume is 0.313m3. According to the flow ratio relationship, the inflow volume at breach occurrence is equivalent to 1.78 times the total amount of a 1000-year flood and 1.19 times the total amount of a probable maximum flood (PMF). The analysis of the surface flow field reveals that the region with the highest flow velocity extends from the dam toe to Shangdi village; The impact on Shizhou village is limited to the backwater of the dam break water flow and gradual sedimentation of tailings.

Publisher

Research Square Platform LLC

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