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Development of a model to predict vibrations induced by transient release of in-situ stress

机译:一种模型,以预测原位应力瞬变释放诱导的振动

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摘要

During the process of deep rock mass excavations by drill and blast, transient release of in-situ stress (TRIS) induced vibrations have a negative effect on the safety and stability of nearby structures. However, little attention has been focused on the prediction of peak particle velocity (PPV) of TRIS induced vibrations. To forecast the PPV of TRIS induced vibrations, a new model was set up by dimensional analysis method based on an analysis of PPV influencing factors. To train and test the prediction model proposed in this paper, firstly, TRIS induced vibrations were identified and separated from the recorded vibrations during a blasting excavation of deep rock masses in the Jinping II hydropower station by the methods of amplitude spectrum analysis and finite impulse response digital filter, and then, unknown coefficients in the proposed model were calculated via multivariate regression analysis from the collected data of upper part excavation. Finally, for the lower part excavation, the separated and predicted PPV of TRIS induced vibrations were compared. In addition, the correlation coefficient and root mean square error (RMSE) were compared between the proposed model and the other commonly used model. Results seem to indicate that the proposed model with a higher correlation coefficient and a smaller RMSE is the better option for predicting the PPV of TRIS induced vibrations.
机译:在钻头和爆炸的深层岩石挖掘过程中,原位应力(TRIS)诱导振动的瞬态释放对附近结构的安全性和稳定性产生负面影响。然而,很少的关注已经专注于Tris诱导振动的峰粒速(PPV)的预测。为了预测TRIS诱导振动的PPV,基于PPV影响因素的尺寸分析方法建立了一种新模型。为了训练和测试本文提出的预测模型,首先,通过幅度谱分析方法和有限脉冲响应的方法,鉴定了在金平II水电站深层岩体的爆破挖掘过程中识别并分离出来的振动。然后,通过从上部挖掘的收集数据通过多变量回归分析计算所提出的模型中的未知系数。最后,对于下部开挖,比较了Tr​​is诱导振动的分离和预测的PPV。另外,在所提出的模型和其他常用模型之间比较相关系数和均方根误差(RMSE)。结果似乎表明具有较高相关系数和较小RMSE的所提出的模型是预测TRIS诱导振动的PPV的更好选择。

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