Evaluation on Explosion Power of Fuel Air Mixture Based on Artificial Neural Network

摘要：

Industrial explosion is one of the uppermost industrial hazards, and quite a number of explosion hazards are cloud explosions. The explosion mechanism of this kind of heterogeneous mixture is widely researched, and is used for military weapons. Based on the analysis of primary affected factors of explosion power of fuel air mixture, and with artificial neural network (ANN) theory, an ANN model is constructed for explosion power evaluation of fuel air mixture. Application results show that evaluation of ANN model is feasible. The study can contribute helpful references to safety protection and design optimization of fuel air explosive weapons.

关键词： artificial neural network (ANN) fuel air mixture explosion power evaluation

作者: De-run WANG Shou-xiang LU Chang-hai LI Jin-hui WANG

作者单位: State Key Laboratory of Fire Science, USTC, Hefei, China

会议类型: 国际会议

会议名称: The 1st International Conference on Risk Analysis and Crisis Response(首届风险分析与危机反应国际学术研讨会)

会议地点: 上海

会议语种:英文

页码: 643-646

在线出版日期: 2007-09-25（万方平台首次上网日期，不代表论文的发表时间）