Vented gas explosion overpressure prediction of obstructed cubic chamber by Bayesian Regularization Artificial Neuron Network – Bauwens model
作者： Jihao Shi , Jingde Li , Hong Hao , Thong M. Pham , Yuan Zhu
DOI: 10.1016/J.JLP.2018.05.016
关键词:
摘要: Abstract This study aims to develop an integrated model, namely Bauwens-BRANN estimate the maximum overpressure of vented gas explosion. A series experiments designed for cubic enclosures with and without obstacles are used in development model. Two important parameters modified address pre-existing issues Bauwens By incorporating Bayesian Regularization Artificial Neuron Network (BRANN) algorithm into model is developed. Improved pressure estimation accuracy seen comparison NFPA-68 2013
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