A Database Extension for a Safety Evaluation of a Hydrogen Refueling Station with a Barrier Using a CFD Analysis and a Machine Learning Method

A methodology is proposed to extend datasets in a database suitable for use as a reference tool to support an evaluation of damage mitigation by a barrier wall in a hydrogen refueling station (HRS) during a vapor cloud explosion (VCE) accident. This is realized with a computational fluid dynamic (CF...

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Veröffentlicht in:	Processes 2023-10, Vol.11 (10), p.3025
Hauptverfasser:	Kang, Hyung-Seok, Hwang, Ji-Won, Yu, Chul-Hee
Format:	Artikel
Sprache:	eng
Schlagworte:	Accidents Cloud computing Credibility Damage assessment Datasets Error analysis Evaluation Experimental research Explosions Fluid dynamics Hydrogen Hydrogen as fuel Learning algorithms Machine learning Mathematical models Methods Nuclear power plants Open source software Public domain Public software Refueling Safety Sensitivity Simulation methods Source code Vapor clouds
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