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(10)Probabilistic Dam Break Assessment and Flow Slide Analysis for Tailings Storage Facilities

机译:(10)尾矿储存设施的概率坝断裂评估和流量滑动分析

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Dam breaks leading to a flow slide on the scale of Mt Polly, Los Frailes, Merriespruit and Stavahave been shown to have multiple root causes that combined as a chain of faults and events that ledto failure. These failures all experienced issues with regard to operation, management, constructionquality, unrecognised foundation or materials behaviour as well as structural failure. Whencombined these issues had the effect of removing support to a mass of poorly consolidated tailingswhich underwent static liquefaction and flowed with disastrous consequences. While forensicinvestigation of the root causes of a dam break provides invaluable insight to failure developmentthe key issue is how we can use the results of the investigation to analyse, track and ultimately stop,the progression towards a dam break and flow slide on a current operation. A fault-event analysisprocess provides a useful semi-quantitative probabilistic method for understanding the relativecontributions of the root causes and the way in which they can combine to precipitate a failure. Butit is also vital, when assessing the risks associated with a tailings storage facility, to work throughthe consequences of a dam break and flows slide. This requires simulation of the outflow rate ofthe tailings through the dam break over time and prediction of the lateral spread and distance ofthe outflow. The simulation also needs to bring into consideration the rheological properties of theflowing tailings and the uncertainty of these properties along with the uncertainty of other keyparameters including the width of the breach and the volume of the material that liquefies andflows. This paper sets out through a worked example a probabilistic model for flow slidemodelling that incorporates probability density functions for the main variables. When combinedwith the fault-event analysis the flow slide model enables the risk of flooding specificinfrastructure, as well as the depth of flow, to be determined on a semi-quantitative probabilisticbasis. It is demonstrated how, together with the fault-event analysis, the flow slide analysis enablesthe development of management protocols and infrastructure protection works that, ifimplemented properly, will ensure that the chain of faults that could lead to a dam break can bebroken, and a flow slide prevented.
机译:大坝休息通往MT Polly,LOS Freailes,MerriesPruit和Stavahave的规模上的流动滑动有多种根本原因,将其作为导致故障的故障链和事件组合。这些故障在运营,管理,建筑,无法识别的基础或材料行为以及结构性失败方面都有经验丰富的问题​​。当组合时,这些问题的效果可以消除对静态液化的质量的支持,以静态液化和因灾难性后果而流动。虽然大坝休息的根本原因的ForensicInve inversion对失败发展提供了宝贵的洞察力,但关键问题是我们如何利用调查结果来分析,追踪和最终停止,达到坝体断裂和流动滑动的进展。故障事件分析方法提供了一种有用的半定量概率方法,用于了解根本原因的相关调查以及它们可以组合以沉淀故障的方式。在评估与尾矿储存设施相关的风险时,才能通过坝断裂和流动幻灯片的后果来实现。这需要模拟尾矿的流出速率通过坝断裂时间和预测流出的横向扩散和距离。该模拟还需要提出尾矿尾矿的流变性和这些性质的不确定性以及包括诸如漏洞的宽度和液化和流的材料的体积的不确定性。本文通过了一个工作示例阐述了用于流动滑动率的概率模型,其包含主变量的概率密度函数。当混合事件分析组合时,流动幻灯片模型使得能够在半定量概率上确定泛滥的机构以及泛滥的流量以及流动的深度。据证明如何与故障事件分析,流动幻灯片分析启发的管理协议和基础设施保护的开发工作,如果正确,将确保可能导致大坝突破的断层链和一个流动滑动防止。

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