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爆破震动效应的支持向量机分析预测
引用本文:张红亮,王水林,吕颖慧,尹小涛.爆破震动效应的支持向量机分析预测[J].矿业研究与开发,2007,27(4):57-58,75.
作者姓名:张红亮  王水林  吕颖慧  尹小涛
作者单位:中科院武汉岩土力学研究所,湖北,武汉,430071
摘    要:合理预测评估爆破引起的震动效应,对于合理确定爆破参数,降低爆破公害具有重要意义。应用支持向量机,建立了总药量、最大段药量、爆破点与监测点距离、构筑物所在地面震动峰值速度、测点到地面的高度等因素与建筑物上的质点震动速度之间的非线性映射关系,确立了支持向量机预测模型。

关 键 词:震动效应  质点震动峰值  支持向量机
文章编号:1005-2763(2007)04-0057-02
修稿时间:2006-06-15

Analysis and Forecast of Basting Vibration Effect Based on Support Vector Machine
Zhang Hongliang,Wang Shuilin,Lu Yinghui,Yin Xiaotao.Analysis and Forecast of Basting Vibration Effect Based on Support Vector Machine[J].Mining Research and Development,2007,27(4):57-58,75.
Authors:Zhang Hongliang  Wang Shuilin  Lu Yinghui  Yin Xiaotao
Affiliation:Wuhan Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan, Hubei 430071, China
Abstract:It is very important for the determination of reasonable blasting parameters to accurately predict the vibration effect induced by an explosion.This paper confirms a kind of non-linear mapping relation between vibration velocity of particles on building and the influence factors,such as total explosive charge,maximum explosive charge fired at the same time,the distance between blasting point and monitoring points,peak particle velocity of ground where building is,the height from monitoring point to ground,and so on,and sets up a support vector machine(SVM) model for forecasting the vibration effect induced by an explosion.
Keywords:Vibration effect  Peak particle velocity(PPV)  Support vector machine
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