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Back Analysis and Calculation of Dynamic Mechanical Parameters of Rock Mass with Measured Blasting Vibration Signals

机译:含爆破振动信号的岩体动态力学参数反分析与计算

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How to obtain dynamic parameters of rock masses quickly and precisely is a popular and difficult problem, which plays a very important part in engineering design or construction. Currently, the methods used to obtain these parameters are in situ testing method, empirical formula, and so on. However, these methods have some shortcomings, such as large investment and long construction period, which cannot obtain the dynamic parameters precisely and quickly in the engineering scale. In this study, a new method of estimating the rock parameters based on the measured field blasting vibration signals is proposed according to theory of elastic stress wave. In addition, an improved method for S-wave identification used in engineering scale was proposed and then the numerical simulation is given to verify the feasibility. Comparison of the numerical identification results and theoretical results clearly show that the improved method is available in S-wave identification with errors less than 2%. By identifying the arrival times of P and S waves, the propagation velocities of P and S waves are calculated and the parameters of rock mass can be obtained at last. Through analyzing the measured field blasting vibration signals in Fengning pumped-storage power station, the dynamic elastic modulus of rock mass inversed by vibration signals is about 2.2~2.9 times of its static elastic modulus, while the inversed dynamic Poisson's ratio is 0.9~0.975 times of the static.
机译:如何快速,准确地获得岩体动力学参数是一个普遍而困难的问题,在工程设计或施工中起着非常重要的作用。当前,用于获取这些参数的方法是原位测试方法,经验公式等。但是,这些方法存在投资大,施工周期长等缺点,无法在工程规模上准确,快速地获得动态参数。本文根据弹性应力波理论,提出了一种基于实测爆破振动信号的岩石参数估计新方法。提出了一种改进的工程规模S波识别方法,并通过数值模拟验证了可行性。数值识别结果与理论结果的比较清楚地表明,改进的方法可用于S波识别,误差小于2%。通过确定P波和S波的到达时间,可以计算出P波和S波的传播速度,并最终获得岩体参数。通过对丰宁抽水蓄能电站实测爆破振动信号的分析,振动信号反演的岩体动弹性模量约为其静弹性模量的2.2〜2.9倍,反动态泊松比为0.9〜0.975倍。的静态。

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