车载氢系统安全风险分析及氢气泄漏失效事故场景下燃烧爆炸研究数据

“车载氢系统安全风险分析及氢气泄漏失效事故场景下燃烧爆炸研究”是由北京交通大学于2022年1月至2024年8月开展的一项仿真分析研究。该研究旨在评估车载氢系统的安全风险，分析氢气泄漏失效事故场景下的燃烧爆炸后果。通过建立车载氢系统安全风险评价模型，研究识别了系统中的潜在危险并划分了风险单元，采用故障树法对风险单元进行了定性分析，完成了频率评估、后果和影响评估以及风险表达等方面的综合分析。研究过程中，结合了设备老化、人为因素、自然破坏等多方面因素，并参考了荷兰应用科学组织紫皮书、挪威船级社OREDA数据库、美国桑迪亚国家实验室HyRAM+数据库等权威数据源，确定了基本事件的发生概率。同时，利用HyRAM、Origin等软件进行了故障树分析、概率评估及后果仿真，生成了包括氢气泄漏故障树、燃烧热辐射分布、爆炸超压分布及不同泄漏事故影响曲线等数据。研究结果与试验数据进行了比对，确保了仿真分析的准确性。

The study titled "Safety Risk Analysis of Vehicle-Mounted Hydrogen Systems and Research on Combustion and Explosion Under Hydrogen Leakage Failure Accident Scenarios" is a simulation analysis research conducted by Beijing Jiaotong University from January 2022 to August 2024. This study aims to evaluate the safety risks of vehicle-mounted hydrogen systems and analyze the consequences of combustion and explosion under hydrogen leakage failure accident scenarios. By establishing a safety risk assessment model for vehicle-mounted hydrogen systems, the study identified potential hazards in the system and divided them into risk units. Qualitative analysis was performed on the risk units using the Fault Tree Analysis (FTA) method, and comprehensive analyses covering frequency assessment, consequence and impact assessment, and risk expression were completed. During the research, multiple factors including equipment aging, human factors, and natural damage were taken into account, and the occurrence probabilities of basic events were determined by referencing authoritative data sources such as the Purple Book of the Netherlands Organization for Applied Scientific Research (TNO), the OREDA database of Det Norske Veritas (DNV), and the HyRAM+ database of the U.S. Sandia National Laboratories. Meanwhile, software such as HyRAM and Origin were utilized to conduct Fault Tree Analysis, probability assessment, and consequence simulation, generating datasets including hydrogen leakage fault trees, combustion thermal radiation distributions, explosion overpressure distributions, and impact curves of different leakage accidents. The research results were compared with experimental data to validate the accuracy of the simulation analysis.

搜集汇总

背景与挑战

背景概述

该数据集源自北京交通大学2022年至2024年开展的车载氢系统安全风险仿真分析研究，重点针对氢气泄漏失效事故场景下的燃烧爆炸后果进行评估。研究通过故障树分析、概率评估与后果仿真，生成了氢气泄漏故障树、热辐射与超压分布等数据，数据格式多样，总量为3.45GB。