Vibration response and failure modes analysis of the temporary support structure under blasting excavation of tunnels

Guan, Xiaolan; Yang, Ning; Zhang, Wenjun; Li, Minggeng; Liu, Zeliang; Wang, Xiao Hui; Zhang, Sulei

doi:10.1016/j.engfailanal.2022.106188

Cited by 22 publications

(5 citation statements)

References 13 publications

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“…Ahmed 1 , 2 and other scholars have studied the impact of blasting on new and old lining structures during tunnel excavation by establishing numerical models. Guan 3 used an explicit LS-DYNA algorithm and a fluid–structure coupling algorithm to simulate the vibration response and failure mode of lining structures under different loading weights and blasting distances. Tian 4 used MATLAB for signal processing programming and analyzed the propagation rules of blasting vibrations in super-large cross-sectional shallow tunnels.…”

Section: Introductionmentioning

confidence: 99%

Study on the dynamic response characteristics of lining structures in large-section tunnel blasting using JH-2 model analysis

Li,

Wu,

et al. 2024

Sci Rep

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The lining structures of tunnels are typically constructed using sprayed or cast concrete materials, and their performance and quality during tunnel excavation and blasting are crucial for the stability and safety of tunnels. Therefore, the safe distance between the lining structure and blasting source should be determined to avoid concrete damage caused by blasting vibrations. In this study, taking the subway tunnel of Danshan Station in Qingdao as an example, the JH-2 model is introduced as the constitutive model of the tunnel blasting simulation, and the JH-2 model parameters of the local surrounding rock are obtained by experiments, and finally the numerical simulation and theoretical verification are carried out to study the safety distance of shotcrete under various safety judgment standards. The results indicate that the JH-2 model can effectively simulate the propagation of stress waves under different media conditions, and the closer the strength parameters and pressure constant of the lining structure are to those of the surrounding rock, the safer the concrete–rock bonding interface. During tunnel blasting construction using the ring blasting method, the peak particle velocity (PPV) of the lining structure increases with an increase in the arch angle. Based on the numerical simulation results, we recommend that concrete lining be constructed at a distance of at least 62 m from the blasting source to avoid damage caused by vibrations. The effect of concrete tensile failure caused by longitudinal stress is much smaller than the damage to the bonding interface caused by the PPV and can be neglected.

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Section: Introductionmentioning

confidence: 99%

Study on the dynamic response characteristics of lining structures in large-section tunnel blasting using JH-2 model analysis

Li,

Wu,

et al. 2024

Sci Rep

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“…Sun et al [12] studied the bolt-surrounding rock interaction behavior considering pre-reinforcement. Guan et al [13] discussed the influence of blasting impact on the stability and interaction of temporary supporting structures such as temporary intermediate walls during tunnel blasting construction. However, in these studies, scholars and designers rarely consider the role of primary lining sprayed concrete in second lining research and design from a safety perspective, resulting in conservative approaches.…”

Section: Introductionmentioning

confidence: 99%

Study on Coordinated Deformation Failure Mechanism and Strength Prediction Model of Rock-lining Concrete

Hu,

Sun,

Wei

et al. 2024

Period. Polytech. Civil Eng.

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Shotcrete has been widely used in the excavation of caverns and tunnels as a key load-bearing element in the support system. However, the interfacial stresses and bond strengths within the composite structures formed by the interaction of geologic bodies and tectonic formations are not well understood, which can lead to safety accidents and excessive wastage of support materials in engineering. To address this gap, rock-concrete composite specimens were created using six distinct types of surrounding rocks. The strength law of composite specimens was analyzed, and the uniaxial compressive strength prediction model of composite specimens was derived based on Mohr−Coulomb strength yield criterion. The results show that the uniaxial compressive strength of the composite specimen changes with the change of rock type, which is between the strength of rock and concrete. The uniaxial peak strength and elastic modulus of composite specimens are linearly positively correlated with the ratio (Y) of concrete-rock elastic modulus, which is easily affected by concrete properties. However, the peak strain is linearly and negatively correlated with Y, which is greatly influenced by rock. The rock-concrete interface of the composite specimen plays an important role in the failure of the specimen, which changes the stress transfer state of the composite specimen, produces uncoordinated deformation, and finally causes the failure of the specimen. The theoretical and test value error of the derived composite specimen uniaxial compressive strength prediction model are –1.19%~12.20%, and the theoretical calculation model can be used to predict the uniaxial compressive strength of rock-concrete composite specimens.

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“…Nevertheless, inadequate control of long hole blasting can result in intense vibrations in crucial surface facilities, jeopardizing mine safety and causing legal disputes between enterprises and local communities. The adverse impact of blasting vibrations, particularly on rock mass [1], nearby structures, and essential facilities [2], has garnered increasing attention.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Ground Vibration Velocity Induced by Long Hole Blasting Using a Particle Swarm Optimization Algorithm

Xie,

Yu,

Liu

et al. 2024

Applied Sciences

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Obtaining accurate basic parameters for long hole blasting is challenging, and the resulting vibration damage significantly impacts key surface facilities. Predicting ground vibration velocity accurately and mitigating the harmful effects of blasting are crucial aspects of controlled blasting technology. This study focuses on the prediction of ground vibration velocity induced by underground long hole blasting tests. Utilizing the fitting equation based on the US Bureau of Mines (USBM) formula as a baseline for predicting peak particle velocity, two machine learning models suitable for small sample data, Support Vector Regression (SVR) machine and Random Forest (RF), were employed. The models were optimized using the particle swarm optimization algorithm (PSO) to predict peak particle velocity with multiple parameters specific to long hole blasting. Mean absolute error (MAE), mean Squared error (MSE), and coefficient of determination (R2) were used to assess the model predictions. Compared with the fitting equation based on the USBM model, both the Support Vector Regression (SVR) and Random Forest (RF) models accurately and effectively predict peak particle velocity, enhancing prediction accuracy and efficiency. The SVR model exhibited slightly superior predictive performance compared to the RF model.

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Vibration response and failure modes analysis of the temporary support structure under blasting excavation of tunnels

Cited by 22 publications

References 13 publications

Study on the dynamic response characteristics of lining structures in large-section tunnel blasting using JH-2 model analysis

Study on the dynamic response characteristics of lining structures in large-section tunnel blasting using JH-2 model analysis

Study on Coordinated Deformation Failure Mechanism and Strength Prediction Model of Rock-lining Concrete

Prediction of Ground Vibration Velocity Induced by Long Hole Blasting Using a Particle Swarm Optimization Algorithm

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