Coal Fire Depth-profile Reconstruction from Ground Penetrating Radar Data

被引：0
作者：
Chang, Xuhua [1 ]
Wang, Yanming [1 ]
机构：
[1] China Univ Min & Technol, Sch Safety Engn, Xuzhou 221116, Peoples R China
来源：
INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL | 2012年 / 15卷 / 11A期
基金：
中国国家自然科学基金;
关键词：
Coal fire; Depth-profile reconstruction; Ground penetrating radar; Particle swarm optimization; PARTICLE SWARM OPTIMIZATION; INVERSE PROBLEM;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In order to increase the positioning accuracy of coal fires in abandoned underground workings, to improve the performance and efficiency of extinguishing technology, the present research has proposed a strategy on coal fire depth-profile reconstruction based on the ground-penetrating radar (GPR) data. The finite-difference time-domain (FDTD) scheme is used in forward simulation of GPR profile. For the inverse problem, a stochastic particle swarm optimization (SPSO) algorithm is presented to perform an optimal model. Based on the GPR data, the interface depth between rock roof and abandoned underground working is estimated; meanwhile the fire source in abandoned underground working could be identified using this method.
引用
收藏
页码：4647 / 4652
页数：6
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