Quantitative Method of the Structural Damage Identification of Gas Explosion Based on Case Study:The Shanxi “11. 23” Explosion Investigation

作     者：Huanjuan Zhao Yiran Yan Xinming Qian 

作者机构：Mine Emergency Technology Research Center(University of Science and Technology Beijing) State Administration of Production Safety Supervision and AdministrationSchool of Civil and Resources EngineeringUniversity of Science and Technology Beijing State Key Laboratory of High-Efficient Mining and Safety of Metal Mines (University of Science and Technology Beijing) Ministry of Education State Key Laboratory of Explosion Science and TechnologyBeijing Institute of Technology 

出 版 物：《Journal of Beijing Institute of Technology》 (北京理工大学学报（英文版）)

年 卷 期：2018年第27卷第1期

页      面：1-14页

核心收录：

学科分类：0810[工学-信息与通信工程] 0819[工学-矿业工程] 081903[工学-安全技术及工程] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Supported by the National Natural Science Foundation of China(E041003) the Fundamental Research Funds for the Central Universities(FRF-TP-15-105A1) the Postdoctoral Science Foundation of China(2015M580049) 

主　　题：mechanics of explosion simulation dynamic response liquefied petroleum gas nature gas quantitative analysis 

摘      要：In order to present a retrospective analysis of exposition accidents using input data from investigation processes,data from a specific accident was examined,in which we analyzed possible involved gas species（ liquefied petroleum gas; nature gas） and computed their concentrations and distributions based on the interactions between the structures and the effects of the explosion. In this study,5 scenarios were created to analyze the impact effect. Moreover,a coupling algorithm was put into practice,with a practical outflow boundary and joint strength are applied. Finally,the damage effects of each scenario were simulated. Our experimental results showed significant differences in the 5 scenarios concerning the damage effects on the building structures. The results from scenario 3 agree with the accident characteristics,demonstrating the effectiveness of our proposed modeling method. Our proposed method reflects gas properties,species and the concentration and distribution,and the simulated results validates the root cause,process,and consequences of accidental explosions. Furthermore,this method describes the evolution process of explosions in different building structures. Significantly,our model demonstrates the quantatative explosion effect of factors like gas species,gas volumes,and distributions of gases on explosion results. In this study,a feasible,effective,and quantitative method for structure safety is defined,which is helpful to accelerate the development of safer site regulations.