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针对承德烧锅隧道掘进过程中地表实测爆破振动与爆破安全规程中建议的萨道夫斯基公式预测的峰值速度有较大偏差的问题进行研究。通过监测数据拟合隧道底板的振动波传播衰减规律,考虑微差爆破中冲击能转化为弹性振动能时发生折减,采用应力过渡系数k表征单段爆破的爆破应力对隧道弹性区围岩体的作用程度;通过BP神经网络反演出满足现场监测数据的应力过渡系数;建立FLAC3D模型,以应力过渡系数修正模型边界条件,分段模拟各个爆破区段内的地表振动场,用萨道夫斯基公式做回归拟合,给出各个爆破区段内K、α参数工程指导值。对比实测数据其误差在10%以内,为准确预测爆破影响范围内地表建、构筑物的爆破振速提供了可靠依据,保障了烧锅隧道施工的顺利进行,并为其他爆破工程爆破振动预测提供了新的方法。
In the light of the fact that the measured blasting vibration in blasting tunnel of Chengde Burning Pork and the proposed saodovski formula in the safety regulations of blasting have a big deviation in the peak velocity, The attenuation law of the vibration wave propagation in the tunnel floor is fitted by monitoring data, and the impact energy of the tunnel blasting is converted into the elastic vibration energy. The stress transition coefficient k is used to characterize the influence of the blasting stress of the single- , The stress transition coefficient that meets the on-site monitoring data is retrieved by BP neural network. The FLAC3D model is established, the boundary conditions of the model are modified by stress transition coefficient, the surface vibration field in each blasting section is simulated by sections, Formula regression fit, given blasting section K, α parameter engineering guidance value. Compared with the measured data, the error is less than 10%, which provides a reliable basis for accurately predicting the blasting vibration velocity of surface structures and structures within the blasting influence range, ensuring the smooth progress of burning pot tunnel construction and providing a new blasting vibration prediction for other blasting engineering Methods.