4.7 Article

Numerical simulation of medium to large scale BLEVE and the prediction of BLEVE's blast wave in obstructed environment

Journal

PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
Volume 145, Issue -, Pages 94-109

Publisher

ELSEVIER
DOI: 10.1016/j.psep.2020.07.038

Keywords

Medium-large-scale gas explosion; BLEVE; Blast wave; Interaction with structures; CFD; Separation distance

Funding

  1. Australian Laureate Fellowships' project [FM 80100196]

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This article investigates the interaction of blast waves with structures in obstructed environments, studying BLEVE peak pressure prediction and proposing simulation-based pressure prediction correlations. The results can be utilized for better assessment of explosion loads on structures.
After the numerical study of medium-to-large-scale Boiling Liquid Expanding Vapour Explosion's (BLEVE) in open space (12 and Haw 2020), this second article focuses on the investigation of the interaction of blast wave with structures in obstructed environment. Currently, pressurized tanks are commonly used as the storage vessels in the oil and gas industry. Pressurized tanks contain high-energy liquid/vapour which, if accidentally released, originates a BLEVE. Although there are already a series of approaches available in literature to estimate blast waves generated from these pressurized tanks, most of these approaches are suitable to predict blast load in the open space only. In this paper, the authors intend to utilize their previously validated numerical approach to predict BLEVE's peak pressure in different obstructed environments. By carrying out over 200 different simulations of BLEVE, the separation distance effect, obstacle geometry effect and BLEVE's scale effect on blast wave generation and propagation are studied. A number of simulation-based correlations for pressure prediction are proposed. The Bologna BLEVE that occurred in 2018 is further modelled to investigate the accuracy of the proposed correlations in predicting the peak pressure in the event. The outcome of this study can be used to predict explosion loads for better assessment of their effects on structures. (C) 2020 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.

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