Academic Journal

A new approach to chemicals warehouse risk analysis using computational fluid dynamics simulation and fuzzy Bayesian network

التفاصيل البيبلوغرافية
العنوان: A new approach to chemicals warehouse risk analysis using computational fluid dynamics simulation and fuzzy Bayesian network
المؤلفون: Mohammad Javad Jafari, Mostafa Pouyakian, Parvaneh Mozaffari, Fereydoon Laal, Heidar Mohamadi, Masoud Taheri Pour, Saber Moradi Hanifi
المصدر: Heliyon, Vol 8, Iss 12, Pp e12520- (2022)
بيانات النشر: Elsevier, 2022.
سنة النشر: 2022
المجموعة: LCC:Science (General)
LCC:Social sciences (General)
مصطلحات موضوعية: Chemicals warehouse, Bow-tie, Bayesian network, Fuzzy set theory, CFD, Science (General), Q1-390, Social sciences (General), H1-99
الوصف: This study aims to assess the risk of chemicals warehouse using a Bayesian networks (BNs) and computational fluid dynamics (CFD). A methodology combining Bow-Tie (BT), fuzzy set theory (FST), and Bayesian network was employed, in which the BT was drawn for chemical spill scenarios. FST was utilized for the estimation of the basic events (BEs) occurrence probability, and the probability of interaction among a set of variables was obtained using BNs. Pool fire scenario radiation heat flux was evaluated using CFD code, fire dynamic simulator (FDS), and the solid flame model (SFM). Fail in forklift brake system (BE1), was the most significant cause for a chemical spill. Based on the CFD model, the heat flux is 31 kW/m2 at a distance of 3.5 m from the fire, decreasing to 6.5 m gradually. The maximum safety distance of 4 m is predicted by the CFD for heat flux that exceeds 12.5 kW/m2; however, SFM predicts approximately 4.5 m. According to the results, the amount of posterior risk is higher than the prior value. The framework presented in the chemicals warehouse for consequence analysis and dynamic risk assessment (DRA) of pool fire could be used for preventing the accidents and domino effects in the chemicals warehouse.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2405-8440
Relation: http://www.sciencedirect.com/science/article/pii/S2405844022038087; https://doaj.org/toc/2405-8440
DOI: 10.1016/j.heliyon.2022.e12520
URL الوصول: https://doaj.org/article/40b06a76fc8f44aaa13b1951878826a2
رقم الانضمام: edsdoj.40b06a76fc8f44aaa13b1951878826a2
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:24058440
DOI:10.1016/j.heliyon.2022.e12520