首页|Transmission and application of a P-wave across joints based on a modified g-λ model
Transmission and application of a P-wave across joints based on a modified g-λ model
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NSTL
Elsevier
? 2021 Elsevier LtdAccurately predicting the location of a fault in front of a tunnel face is an essential part of deep-buried tunnel excavation. This paper proposes a modified g-λ (0<λ<1) model with in situ stress to investigate the propagation and attenuation of a P-wave across jointed rock masses, including a single joint or multiple parallel joints. Based on the modified g-λ model, the differential expressions of the transmitted wave's particle velocity reflecting the interactions between the P-wave and the joints are deduced by using the characteristics method and the displacement discontinuity model. Parametric studies examining the in situ stress, the value of λ, the incident wave frequency and amplitude, and the number of joints are conducted to evaluate the application of the modified g-λ model. This provides support for predicting the location of the fault during the in situ stress tunnel construction when ignoring the shape and width of the fault. The results show that the effective wave velocity of the jointed rock masses increases with increasing in situ stress when a normally incident P-wave impinges upon a single joint. Considering multiple parallel joints, the magnitude and time of the maximum peak of the transmitted wave are decreases and delayed correspondingly with the increase in the number of joints, respectively. Moreover, multisource seismic interferometry is used to predict the location of the fault at different surrounding rock wave velocities and dip angles of the fault, which contribute to the identification of unfavorable geological bodies on the tunnel advanced geological predictions.
Fault predictionIn situ stressJointed rock massModified g-λmodel
Fan Z.、Zhang J.、Xu H.、Wang X.
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School of Architecture and Civil Engineering Chengdu University
School of Civil Engineering Southwest Jiaotong University
China Railway Southwest Research Institute Co. LTD
NSTL
Elsevier
