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水力发电学报 ›› 2022, Vol. 41 ›› Issue (10): 30-41.doi: 10.11660/slfdxb.20221003

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白鹤滩坝肩边坡开挖爆破损伤预测研究

  

  • 出版日期:2022-10-25 发布日期:2022-10-25

Prediction of rock damage induced by blasting excavation in high rock slope of Baihetan Dam abutment

  • Online:2022-10-25 Published:2022-10-25

摘要: 岩石高边坡开挖爆破损伤预测是爆破振动安全控制的重要基础。通过理论分析研究了岩体损伤与岩体固有频率之间的关系,提出了基于岩体固有频率变化的边坡开挖爆破损伤预测方法,基于现场爆破振动监测和声波测试开展了白鹤滩右岸坝肩边坡开挖爆破损伤预测研究。结果表明,岩体固有频率变化率与岩体损伤深度之间存在显著线性关系,边坡开挖爆破损伤预测模型随数据样本增加而动态调整并趋于稳健,白鹤滩水电站右岸坝肩边坡各梯段开挖爆破下岩体损伤深度的Bayesian LASSO预测结果低于实际观测值的概率均高于0.83,Bayesian LASSO预测结果以概率形式涵盖实际观测结果,能显示预测结果的不确定性,提出的预测方法应用效果良好。

关键词: 水电工程, 岩石高边坡, 岩体损伤, 固有频率, 爆破振动, 声波测试

Abstract: Rock damage prediction is important for controlling the blasting vibration of high rock slopes. This paper derives a relationship of rock damage versus natural frequency of rock masses using theoretical analysis, and develops a method for predicting rock damage from the natural frequency change of rock masses. We present a case study of Baihetan Dam, predicting the rock damage of its high rock slope of right bank abutment, based on blasting vibration monitoring and acoustic testing. The results show that a prominent linear relationship exists between the change rate of natural frequency and the damage depth of rock masses, and the rock damage prediction model can be adjusted dynamically and becomes more robust with the increasing data samples. For the rock damage depth of this high rock slope, the probabilities of its Bayesian LASSO predictions below the monitoring values are all higher than 0.83. These predictions can cover the observation results in the form of probability and give the uncertainty.

Key words: hydropower engineering, high rock slope, rock damage, natural frequency, blasting vibration, acoustic test

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