【摘要】 池火是火灾灾害中最常遇到的火焰类型之一，发展油池火的精细化建模有利于液体火灾事故危害性的精准分析及评估。众所周知，热辐射建模是准确模拟各种火灾场景的关键环节。因此，为建立合适的辐射模型，在这项工作中，通过将四个不同的辐射模型耦合到开源火灾模拟代码FDS中，并使用有限体积法求解辐射强度传输方程，对大尺度甲醇池火开展了LES仿真研究。结合NIST的实验数据，对不同辐射模型的影响特性及结果进行了对比分析。关于温度计算，基于WSGG的辐射模型和Cassol的模型表现更好。此外，所有模型都能很好地预测脉动频率。然而，关于辐射热通量的预测，Cassol的两个模型和FDS默认模型的表现优于其他模型，获得每个组分的准确光谱信息数据和确定混合气体的WSGG系数的方法是成功预测火焰辐射的重要因素。更多还原

【Abstract】 Pool fires are one of the most commonly encountered flame types in fire disasters,and the accurate and detailed modeling of pool fires is beneficial for the hazard analysis and assessment of liquid-related fire accidents.The radiation model is known to be the critical component in the accurate simulation of various fire scenarios.Therefore,to develop a proper radiation model,an LES study of a large-scale methanol pool fire was performed in this work by coupling four different radiation models into the open-source fire simulation code FDS and solving the radiation intensity transport equation using the discrete ordinates method.The impact characteristics of different radiation models are evaluated in detail with the NIST experiments,where the comparative analysis was carried out.Regarding the temperature calculations,the WSGG (weighted-sum-of-gray-gases)-based radiation model and Cassol’s model performed better.In addition,all models predict pulsation frequencies well.However,regarding the prediction of the radiative heat fluxes,Cassol’s two models and the FDS default model outperformed the other models,which indicates that the database for obtaining the spectral information of each species and the method to determine the WSGG coefficient of mixed gases are significant factors for the successful prediction of flame radiation.更多还原