矿山台阶爆破震动速度预测方法的研究
详细信息 本馆镜像全文    |  推荐本文 | | 获取馆网全文
摘要
针对某露天矿山采场附近居民房屋出现裂缝的问题,进行矿山居民房屋现场测震,并现场实验检验了传统萨道夫斯基线性回归方法与BP神经网络预测震动速度的两种方法的可靠性,采用BP神经网络方法进行爆破震动质点速度的预测,再通过调整爆破设计降低爆破震动,保障了房屋的安全。
As cracks were observed in the wall of resident houses near the open stope,vibration measurement on site was carried out. The reliability of traditional Sadov's linear regression and vibration velocity prediction by BP neural network was examined. The blasting vibration particle velocity prediction of by BP neural network was adopted and the blasting vibration was reduced by adjusting the blasting design,thus ensuring the housing security.
引文
[1]申旭鹏.研山铁矿台阶炮孔爆破地表质点振速峰值预测方法研究[D].北京:北京科技大学,2012:2-3.
    [2]刘殿中,杨仕春.工程爆破实用手册[M].北京:冶金工业出版社,2004.
    [3]沈蔚,徐全军,季茂荣,等.中深孔爆破震动参数的BP神经网络预报[J].爆炸与冲击,2002,22(4):353-357.
    [4]徐全军,张庆明,恽寿榕.爆破地震峰值的神经网络预报模型[J].北京理工大学学报,1998,18(4):472-475.
    [5]Mostafa Tantawy Mohamed.Artificial neural network for predic-tion and control of blasting vibrations in Assiut(Egypt)limestone quarry[J].International Journal of Rock Mechanics&Mining Sciences,2009,46:426-431.
    [6]Manoj Kh,Singh TN.Prediction of blast induced ground vibrations and frequency in opencast mine:a neural network approach[J].Journal of Sound and Vibration,2006(289):711-725.
    [7]杨佑发,崔波.爆破震动速度峰值的预测[J].震动与冲击,2009,28(10):195-198.
    [8]陈德志,朱瑞賡.基于BP神经网络的路堑爆破对邻近民房安全预测的研究[J].岩石力学与工程学报,2002(2):51-54.
    [9]张天军,马锐,乔宝明,等.爆破震动中萨道夫斯基拓展式的回归分析[J].湖南科技大学学报:自然科学版,2012(3):12-16.

版权所有:© 2023 中国地质图书馆 中国地质调查局地学文献中心