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Comparison of explosion models for detonation onset estimation in large-scale unconfined vapor clouds

机译:大规模无限制蒸汽云中爆炸发作估计爆炸模型的比较

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摘要

Although industrial denotations in semi-open and congested geometries are often neglected by many practitioners during risk assessment, recent studies have shown that industrial detonations might be more common than previously believed. Therefore, from the explosion safety perspective, it becomes imperative to better assess industrial detonation hazards to improve robustness of explosion mitigation design, emergency response procedures, and building siting evaluation. Having that in mind, this study aims to review current empirical vapor cloud explosion models, understand their limitations, and assess their capability to indicate detonation onset for elongated vapor clouds. Six models were evaluated in total: TNO Multi-Energy, Baker-Strehlow-Tang (BST), Congestion Assessment Method (CAM), Quest Model for Estimation o f Flame Speed (QMEFS), Primary Explosion Site (PES), and Confinement Specific Correlation (CSC). Model estimations were compared with large-scale test data available in the open literature. The CAM model demonstrated good performance in indicating deflagration-to-detonation transition (DDT) for test conditions experiencing detonation onset without any modification in the methodology. Some suggestions are provided to improve simulation results from PES, BST and QMEFS.
机译:尽管在风险评估期间,许多从业者通常在半开放和拥挤的几何形状中的工业表示,但最近的研究表明,工业爆炸可能比以前相信的更常见。因此,从爆炸安全角度来看,更好地评估工业爆炸危险的必要性,以改善爆炸缓解设计,应急响应程序和建筑选址评估的鲁棒性。考虑到这项研究,这项研究旨在审查当前的经验蒸汽云爆炸模型,了解它们的局限性,并评估其表明细长蒸气云的爆炸发作的能力。六种型号的评估总计:TNO多能量,贝克 - 胸部 - 唐(BST),拥塞评估方法(CAM),Quest模型估计火焰速度(Qmefs),初级爆炸性位点(PES)和限制特定相关性(CSC)。将模型估计与开放文献中可用的大规模测试数据进行比较。 CAM模型表明表明偏转到爆震过渡(DDT)进行了脱落,以进行爆轰发作的测试条件,而不在方法中没有任何修改。提供了一些建议,以改善PE,BST和QMEFS的仿真结果。

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