基于萨道夫斯基公式分段拟合的烧锅隧道爆破振动预测研究

发布时间：2018-03-29 19:12

  本文选题：萨道夫斯基公式　切入点：分段拟合　出处：《公路》2017年08期

【摘要】：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。
[Abstract]:Aiming at the problem that there is a big deviation between the measured blasting vibration on the ground and the peak velocity predicted by Sadolski formula suggested in the blasting safety code during tunneling of Chengde wok tunnel, the monitoring data are used to fit the bottom of the tunnel. The attenuation law of vibration wave propagation of plate, Considering the reduction of shock energy from millisecond blasting to elastic vibration energy, the stress transition coefficient k is used to characterize the effect of blasting stress on surrounding rock mass in elastic zone of tunnel. BP neural network is used to invert the stress transition coefficient to satisfy the field monitoring data, the FLAC3D model is established, the boundary condition of the model is modified with the stress transition coefficient, and the ground vibration field in each blasting section is simulated in sections. By using Sadolski formula to do regression fitting, the engineering guidance values of K, 伪 parameters in each blasting section are given. The error of comparison of measured data is less than 10%, in order to accurately predict the surface construction within the blasting influence range. The blasting vibration velocity of the structure provides a reliable basis to ensure the smooth construction of the boiler tunnel and provides a new method for the prediction of blasting vibration in other blasting projects.
【作者单位】： 北京科技大学土木工程系;中交隧道工程局有限公司;
【基金】：国家自然科学基金项目,项目编号51474016
【分类号】：U455.6
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本文编号：1682465