کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4980380 | 1453260 | 2017 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Grid-based risk mapping for gas explosion accidents by using Bayesian network method
ترجمه فارسی عنوان
نقشه برداری خطر مبتنی بر شبکه برای حوادث انفجار گاز با استفاده از روش شبکه بیزی
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کلمات کلیدی
انفجار گاز، تحلیل ریسک، روش مبتنی بر شبکه، شبکه بیزی،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
بهداشت و امنیت شیمی
چکیده انگلیسی
Gas explosions at process facilities close to residential areas may lead to catastrophic consequences. It is difficult for traditional quantitative risk analysis (QRA) to consider all the specific local details and conduct risk assessments efficiently. A grid-based risk mapping method is developed to enable a more detailed and reliable explosion risk screening for large areas under complicated circumstance. A target area is divided into a number of grids of an appropriate size and with simplified conditions, and risk analysis is conducted at each grid. A total risk mapping can be depicted based on risk evaluations of all grids. Meanwhile, in order to consider multi-consequences and the complex inter-relationships between consequences and basic factors, a Bayesian network (BN) model is implemented for the proposed method instead of conventional Event Tree and Fault Tree methods. Furthermore, three kinds of data-practical information, computational simulations, and subjective judgments-are involved in the quantification of the proposed BN in order to reduce the uncertainties caused by data shortage and improve the reliability and accuracy of the proposed method. A case study is provided and a mesh convergence of different grid sizes is conducted. Results show that the proposed method is capable of dealing with large and complex situations effectively.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Loss Prevention in the Process Industries - Volume 48, July 2017, Pages 223-232
Journal: Journal of Loss Prevention in the Process Industries - Volume 48, July 2017, Pages 223-232
نویسندگان
Yimiao Huang, Guowei Ma, Jingde Li,