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Remote characterization of ventilation systems using tracer gas and CFD in an underground mine

机译:在地下矿井中使用示踪气体和CFD对通风系统进行远程表征

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摘要

Following an unexpected event in an underground mine, it is important to know the state of the mine immediately, in order to manage the situation effectively. Especially when part or the whole mine is inaccessible, remotely and quickly ascertaining the ventilation status is essential to mine personnel and rescue teams for making effective decisions. This study developed a methodology that combines tracer gas and CFD modeling to remotely analyze underground mine ventilation systems. The study was conducted in an underground mine with four different ventilation scenarios created intentionally for this study to simulate different ventilation damage scenarios. CFD models were built to simulate these ventilation scenarios and compared with the field experimental data to identify which scenarios had actually happened. The CFD model was also used to optimize tracer test parameters, guaranteeing that the status of a ventilation system can be identified more rapidly in an emergency situation. This work demonstrated that general determination of changes to a mine ventilation system is achievable through examination of tracer gas profiles and CFD modeling. Additionally, limitations of this approach are identified and discussed. (C) 2015 Elsevier Ltd. All rights reserved.
机译:在地下矿井发生意外事件之后,重要的是要立即了解矿井的状态,以便有效地管理局势。尤其是在无法访问部分或整个矿井的情况下,远程迅速确定通风状态对于矿山人员和救援团队做出有效决策至关重要。这项研究开发了一种结合示踪气体和CFD模型来远程分析地下矿井通风系统的方法。该研究是在一个地下矿井中进行的,该矿井有意为此研究创建了四种不同的通风情景,以模拟不同的通风破坏情景。建立了CFD模型来模拟这些通风情况,并将其与现场实验数据进行比较,以确定实际发生了哪些情况。 CFD模型还用于优化示踪剂测试参数,从而确保在紧急情况下可以更快地识别通风系统的状态。这项工作表明,通过检查示踪气体剖面图和CFD模型可以大致确定矿井通风系统的变化。此外,确定并讨论了此方法的局限性。 (C)2015 Elsevier Ltd.保留所有权利。

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