爆破震速预测的模糊神经网络模型及其应用

Fuzzy Neural Network Model of Peak Particle Vibration Velocity Forecast for Blasting and Its Application

利用模糊神经网络的高度鲁棒性和学习能力,模拟爆破参数间的非线性关系。建立了爆破震速预测模型,进而预测爆破质点峰值震动速度。预测结果与工程实际具有较好的相关性。所建立的预测模型对研究爆破震动效应及其灾害的控制具有较高的理论和应用价值。

The authors made use of robust and learning ability of fuzzy neural network to simulate the nonlinearity relation among blasting parameters, and a model for forecasting vibration velocity for blasting so can forecast the peak particle vibration velocity for blasting. The forecasted results have fairly good correlativity with that of actual projects. So the established model has higher theoretical and practical reference to the studies on the vibration effect and the vibration damage control of blasting.