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Bayesian Network Analysis of Explosion Events at Petrol Stations

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Abstract

This chapter illustrates a Bayesian-network-based quantitative risk analysis method for VCE accidents at small oil and gas facilities, such as petrol stations. Meanwhile, to reduce uncertainties by data shortage, three types of data, i.e. practical information, computational simulations and subjective judgements are introduced to quantify the proposed BN. A case study using the proposed method to model the complete explosion process is presented.

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Correspondence to Guowei Ma .

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© 2019 Springer Nature Singapore Pte Ltd.

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Ma, G., Huang, Y., Li, J. (2019). Bayesian Network Analysis of Explosion Events at Petrol Stations. In: Risk Analysis of Vapour Cloud Explosions for Oil and Gas Facilities. Springer, Singapore. https://doi.org/10.1007/978-981-13-7948-2_9

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  • DOI: https://doi.org/10.1007/978-981-13-7948-2_9

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-7947-5

  • Online ISBN: 978-981-13-7948-2

  • eBook Packages: EngineeringEngineering (R0)

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