爆破震动参数的算法比较及工程应用  

Comparison of Algorithms for Blasting Vibration Parameters and Their Application in Engineering

作　　者：赵奎[1,2] 吴乐文[3] 刘明荣[3] 谢良[3] 张东炜[3] 

机构地区：[1]江西理工大学工程研究院,江西赣州市341000 [2]钨资源高效开发及应用技术教育部工程研究中心,江西赣州市341000 [3]江西理工大学资源与环境工程学院,江西赣州市341000

出　　处：《矿业研究与开发》2012年第1期103-105,116,共4页Mining Research and Development

基　　金：国家重点基础研究发展计划项目(2011cb411913)

摘　　要：针对目前优化爆破震动参数存在的问题,结合矿山实际工程爆破测震数据,分别采用最小二乘法与粒子群算法对测震数据进行了分析处理,得到粒子群算法处理结果的残差绝对值之和为0.870,相对于最小二乘法的2.188减小了1.318,说明粒子群算法在小样本寻优过程中具有技术优势。In light of the problems in the optimization of blasting vibration parameters, the blasting vibration data measured in a certain mine was processed and analyzed respectively with least square method and particle swarm optimization algorithm. The absolute value sum of residuals of the results obtained by particle swarm optimization algorithm was 0. 870 which was 1. 318 less than that being 2. 188 obtained by least square method, this showed that particle swarm optimization algorithm has technical advantage in small sample optimization.

关 键 词：爆破震动 肖维勒准则 粒子群算法 最小二乘法 

分 类 号：TD235.14[矿业工程—矿井建设]