Comprehensive geophysical prediction and treatment measures of karst caves in deep buried tunnel

Li, S.C.; Zhou, Zongqing; Ye, Z.H.; Li, L.P.; Zhang, Q.Q.; Xu, Zhimin

doi:10.1016/j.jappgeo.2015.03.019

Cited by 86 publications

(37 citation statements)

References 28 publications

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“…The tunnels in this area are characterized as deeply buried, long hole lines, high stress, strong karst, and high water pressure [72]. These characteristics facilitate water inrush and other geological disasters during tunnel construction.…”

Section: Engineering Backgroundmentioning

confidence: 99%

Risk Assessment and Decision-Making under Uncertainty in Tunnel and Underground Engineering

Xia

Xiong

Dong

et al. 2017

Entropy

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Abstract:The impact of uncertainty on risk assessment and decision-making is increasingly being prioritized, especially for large geotechnical projects such as tunnels, where uncertainty is often the main source of risk. Epistemic uncertainty, which can be reduced, is the focus of attention. In this study, the existing entropy-risk decision model is first discussed and analyzed, and its deficiencies are improved upon and overcome. Then, this study addresses the fact that existing studies only consider parameter uncertainty and ignore the influence of the model uncertainty. Here, focus is on the issue of model uncertainty and differences in risk consciousness with different decision-makers. The utility theory is introduced in the model. Finally, a risk decision model is proposed based on the sensitivity analysis and the tolerance cost, which can improve decision-making efficiency. This research can provide guidance or reference for the evaluation and decision-making of complex systems engineering problems, and indicate a direction for further research of risk assessment and decision-making issues.

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Section: Engineering Backgroundmentioning

confidence: 99%

Risk Assessment and Decision-Making under Uncertainty in Tunnel and Underground Engineering

Xia

Xiong

Dong

et al. 2017

Entropy

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“…Let the total number of piles at the site be n, and the rock embedding probability Substitute Formula (13) and (14) into the Formula (12), and the following formula can be obtained:…”

Section: Fig1 Rock-embedding Relations Between Survey Hole and Pilementioning

confidence: 99%

“…As a result, in actual engineering practice, it is often inevitable to carry out one or more supplementary surveys, and even repeated foundation design alteration or construction process changes, so the technical economics of the pile foundation is quite different from the evaluation results in the design stage. In the karst survey, engineering geophysical technologies like high-density electrical method [10] and geological radar [11] can help obtain continuous geological profiles and reveal the rock surface undulation characteristics and cave-fissure distribution range, which takes less detection cost and shorter time, but engineering geophysical technologies are affected by various environmental conditions [12,13], so its detection accuracy and depth are difficult to meet the engineering accuracy requirements for pile foundations. In summary, the rock embedding of pile groups at karst sites is still difficult to reasonably predict at the survey stage, and the related issues still need further studies.…”

Section: Introductionmentioning

confidence: 99%

Analysis on Rock Probability of Embedment Pile into Rock Mass for Pile Group at Building Sites in Karst Terrain

Cao¹,

Liu²,

Li³

2017

MMC_B

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The complex karst foundation has discontinuous fluctuations on rock surfaces and uncertainties in cave-fissure development, making it impossible to determine the depth of embedment pile into rock mass and impossible to reasonably predict difficulty in pile construction, which results in lack of reliable support for the feasible evaluation of the pile foundation and selection of its construction methods. Based on the study of the rock embedding probability model for single pile at building sites in karst area, according to the site engineering survey data, this paper further proposes a method to determine the average rock embedding elevation of pile groups and at last verifies the rationality of the proposed model with a project instance. The results show that there might be a great deviation if the construction survey hole entering the rocks is considered as the piles entering the rocks; the proposed rock embedding probability model for piles considers the effects of pile diameter and foundation dissolution characteristics on embedment pile group into rock mass and thus can correctly reflect the elevation distribution of the rock embedding probability of pile groups; the average rock

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“…Water is a serious problem in tunnel maintenance [1,2]. Water-bearing body (WBB) has been proven to exist behind the tunnel linings of many operational tunnels [3,4]. Moreover, the WBB has also been validated as a source of damage to many tunnel linings, such as water leakage, lining creaks, and concrete deterioration [5,6], and the WBB can be identified as the origin of damage to many tunnel linings in operational tunnels to some extent.…”

Section: Introductionmentioning

confidence: 99%

Vehicle-Borne Transient Electromagnetic Numerical Characteristic Parameter of Water-Bearing Body behind Tunnel Linings

Qian

Liang

et al. 2020

Mathematical Problems in Engineering

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The water-bearing body (WBB) behind tunnel linings has been some of the main causes of damage in operational tunnels. The WBB directly affects the serviceability state of tunnel linings; thus, determining a method to detect this problem is a widely studied issue regarding tunnel maintenance. In this paper, a vehicle-borne transient electromagnetic method (VBTEM) is put forward for the first time to detect WBB behind tunnel linings, and the aim is to fully investigate the transient electromagnetic response and numerical characteristics of the WBB behind tunnel linings. Firstly, the transient electromagnetic response curves of the WBB and surrounding rock are obtained and compared in detail by using the finite element method. Then, taking the distance, thickness, radius, and resistivity of the WBB as variable parameters, the parametric sensitivity rule of the response curve of the WBB is analyzed. Finally, a dimensionless response curve is proposed, a mathematical extraction equation is established, and seven numerical characteristic parameters are proposed and extracted. Based on seven numerical characteristic parameters, the technical parameters of the VBTEM equipment are put forward. The results illustrate that the transient electromagnetic response of the WBB is obviously different from that of surrounding rock. The seven numerical characteristic parameters of the dimensionless curve of the WBB can represent the entire response curve of the WBB. The results reveal that the first time gate of the VBTEM equipment needs to be less than 0.05 μs for short-distance problem, and the time span needs to reach four time spans at least. The research results can provide valuable technical references for the application of VBTEM.

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Comprehensive geophysical prediction and treatment measures of karst caves in deep buried tunnel

Cited by 86 publications

References 28 publications

Risk Assessment and Decision-Making under Uncertainty in Tunnel and Underground Engineering

Risk Assessment and Decision-Making under Uncertainty in Tunnel and Underground Engineering

Analysis on Rock Probability of Embedment Pile into Rock Mass for Pile Group at Building Sites in Karst Terrain

Vehicle-Borne Transient Electromagnetic Numerical Characteristic Parameter of Water-Bearing Body behind Tunnel Linings

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