首页|隧道内部爆破质点峰值振速分析与预测

隧道内部爆破质点峰值振速分析与预测

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为了进一步提高隧道内部爆破质点峰值振速的预测精度,通过记录测取隧道爆破开挖现场的爆破参数与振动波形,分析了隧道内部爆破质点峰值振速的分布特性,建立了隧道内部爆破质点峰值振速预测模型。竖直方向的爆破质点峰值振速与水平切向、水平径向的爆破质点峰值振速有显著差异,且竖直方向上爆破质点峰值振速各项统计量均较大。对断面测点的位置而言,竖直方向上拱腰与边墙的爆破质点峰值振速分布相似,拱顶与底板的爆破质点峰值振速可归为一类,拱顶与地板爆破质点峰值振速的最大值、平均值等均显著大于拱腰与边墙爆破质点峰值振速的最大值、平均值等。从测试集拟合优度R2 而言,基于萨道夫斯基公式的拱顶与底板模型、拱腰与底板模型在测试集上的R2 分别为0。64 与0。78。基于XGBoost的拱顶与底板模型、拱腰与底板模型在测试集上的R2 分别为 0。93 与 0。91,相较于萨道夫斯基公式 R2 分别提高了 45。3%与16。7%。XGBoost模型实现了隧道内部爆破质点峰值振速的精准预测,可满足工程现场的应用需求。
Analysis and Prediction on the Blasting-induced Peak Particle Velocity in Tunnel Construction
By recording the blasting parameters for each blasting operation and monitoring the induced vibration waveform,an analysis is conducted to analyze the distribution characteristics of the peak particle velocity within the tunnel,and models predicting the peak particle velocity are also established.The vertical peak particle velocity is significantly different than the other two directions,and the average and max values are noticeably larger.The distributions of peak particle velocity from the vault and baseboard are similar,while the peak particle velocity from the hance and side wall could be considered as following the same distribution.The average and max values of the peak particle velocity from the vault and baseboard are significantly larger than that from the hance and side wall.In terms of the goodness of fitting R2 on the test set,the R2 of the established Sadaovsk empirical formula of the vault-baseboard and hance-side wall are 0.64 and 0.78,respectively.The R2 of the established XGBoost model of the vault-baseboard and hance-side wall are 0.93 and 0.91,respectively,which outperforms the Sadaovsk empirical formula as its R2improves 45.3%and 16.7%.These results show that the XGBoost model is capable as a high precision prediction model,and could be applied to the working filed.

tunnel constructionblasting excavationmachine learningpeak particle velocity

周亚林

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中铁十六局集团路桥工程有限公司,北京 101500

隧道工程 爆破开挖 机器学习 峰值振速

2024

黑龙江交通科技
黑龙江省交通科学研究所,黑龙江省交通科技情报总站

黑龙江交通科技

影响因子:0.977
ISSN:1008-3383
年,卷(期):2024.47(4)
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