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Vapor Cloud Explosion Prediction Methods - Comparison of TNO Multi-energy (ME) and Baker-Strehlow-Tang (BST) Models in Terms of Vulnerability of Structural Damage Caused by an Explosion

机译:蒸气云爆炸预测方法-从爆炸引起的结构破坏的脆弱性方面比较TNO多能(ME)模型和Baker-Strehlow-Tang(BST)模型

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Vapor cloud explosions (VCE) cause considerable hazard in the chemical and petrochemical industries. They generate damaging levels of overpressure; the potential risk for human injury or death, damage to buildings and associated critical equipment becomes a concern. Predicting the possible consequences associated to vapor cloud explosions is important to ensure the safe design of existing and new installations. The accuracy of the assessments of such explosions is improved by carrying out experiments and by using theoretical models. To assess explosion hazards and to ultimately design safer structures several modeling approaches have been developed in order to estimate the air blast parameters at any given distance from a possible explosion source. Estimation of the overpressures that are generated from vapor cloud explosions is typically done via either simplified (empirical) models, phenomenological models or sophisticated computational fluid dynamics (CFD) models. This study includes a brief discussion on vapor cloud explosions and the prediction methods. The focus of this paper is on two of the most frequently used simplified prediction methods; the TNO Multi-energy (ME) model and the Baker-Strehlow-Tang (BST) model. The present study investigates the differences between the two methods and evaluates them in terms of resulting structural response and damage vulnerability caused by an explosion.
机译:蒸气云爆炸(VCE)在化学和石化工业中造成相当大的危害。它们会产生破坏性的超压水平;人身伤害或死亡,建筑物及相关关键设备损坏的潜在风险成为一个问题。预测与蒸气云爆炸有关的可能后果对于确保安全设计现有和新安装非常重要。通过进行实验和使用理论模型,可以提高此类爆炸评估的准确性。为了评估爆炸危险并最终设计出更安全的结构,已经开发了几种建模方法,以便在距可能爆炸源的任何给定距离处估计鼓风参数。蒸气云爆炸产生的超压的估算通常通过简化(经验)模型,现象学模型或复杂的计算流体动力学(CFD)模型来完成。这项研究包括对蒸气云爆炸及其预测方法的简短讨论。本文的重点是两种最常用的简化预测方法: TNO多能量(ME)模型和Baker-Strehlow-Tang(BST)模型。本研究调查了两种方法之间的差异,并根据由此产生的结构响应和爆炸造成的破坏脆弱性对它们进行了评估。

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