Sealing performance of a precast tunnel gasketed joint under high hydrostatic pressures: Site investigation and detailed numerical modeling

Lei, Mingfeng; Zhu, Binbin; Gong, Chenjie; Ding, Wenqi; Liu, Linghui

doi:10.1016/j.tust.2021.104082

Cited by 30 publications

(11 citation statements)

References 28 publications

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“…According to Zhou et al (2014) and Kitamura et al (2019), combined with multisource data, such as tunnel inspection (Domaneschi et al , 2020; Strauss et al , 2020), testing and monitoring, ten representative indicators, such as vertical and horizontal deformation, durability and typical disease status of the tunnel structure, are selected to achieve a comprehensive health assessment from points and planes (Zrelli and Ezzedine, 2017; Bourland and Yuan, 2006; Lee et al , 2005; Keßler, 2020). The possible correlations between different evaluation indexes are considered (Gong et al ., 2019, 2020; Lei et al , 2021), and a grading evaluation index system for the overall safety features of shield tunnel structure is established, as shown in Figure 8 and Table 2.…”

Section: Case Studymentioning

confidence: 99%

A comprehensive evaluation method and application of shield tunnel structure health based on variable weight theory

Sun

2022

IJSI

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PurposeIn order to improve the comprehensive evaluation level of shield tunnel structure health, taking a subway tunnel section as an example, and combined with the onsite measured data, such as regular inspection, health monitoring and disease remediation, this paper introduces the variable weight theory to improve the traditional fixed-weight evaluation method from structural deformation, current durability and disease status.Design/methodology/approachConsidering the influence of the fluctuation of each index value on the index weight, a comprehensive structural health evaluation model of shield tunnel based on an improved variable weight matter-element extension model is proposed.FindingsCompared with the traditional fixed-weight evaluation method, this model can correct the evaluation distortion caused by the fluctuation of index value and has optimal effect.Originality/valueThe sensitive analysis shows that several key indicators of the main threats to tunnel structure are obtained to improve the efficiency of operation, maintenance and management of shield tunnel structure.

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Section: Case Studymentioning

confidence: 99%

A comprehensive evaluation method and application of shield tunnel structure health based on variable weight theory

Sun

2022

IJSI

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“…Due to the joint action of internal and external factors, such as long‐term cyclic loads, groundwater, and improper construction, various tunnel lining defects have occurred inevitably during tunnel construction and operation (Fu et al., 2019; Ye et al., 2021). Among them, crack (Gong et al., 2017; S. Zhao et al., 2021), water leakage (Ding et al., 2017; Lei, Zhu, et al., 2021), and rebar‐exposed (H. Wang et al., 2018; Xue et al., 2022) are the main factors affecting the service life of tunnels. If these defects are not treated on time, then hazards may occur, including concrete corrosion, deformation of surrounding rock, and reduced lining bearing capacity, which can adversely affect the safety of the whole tunnel in terms of construction and operation.…”

Section: Introductionmentioning

confidence: 99%

“…Among them, crack (Gong et al, 2017;S. Zhao et al, 2021), water leakage (Ding et al, 2017;Lei, Zhu, et al, 2021), and rebar-exposed (H. Wang et al, 2018;Xue et al, 2022) are the main factors affecting the service life of © 2022 Computer-Aided Civil and Infrastructure Engineering tunnels. If these defects are not treated on time, then hazards may occur, including concrete corrosion, deformation of surrounding rock, and reduced lining bearing capacity, which can adversely affect the safety of the whole tunnel in terms of construction and operation.…”

Section: Introductionmentioning

confidence: 99%

Automatic detection method of tunnel lining multi‐defects via an enhanced You Only Look Once network

Zhou

Zhang

Gong

2022

Computer aided Civil Eng

Self Cite

122

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Aiming to solve the challenges of low detection accuracy, poor anti-interference ability, and slow detection speed in the traditional tunnel lining defect detection methods, a novel deep learning-based model, named You Only Look Once network v4 enhanced by EfficientNet and depthwise separable convolution (DSC; YOLOv4-ED), is proposed. In the YOLOv4-ED, EfficientNet is used as the backbone to improve the identification accuracy of indistinguishable defect targets in complex tunnel background and light conditions. Furthermore, DSC block is introduced to reduce the storage space of the model and thereby enhance the detection efficiency. The experimental results indicate that the mean average precision, F1 score, Model Size, and FPS of YOLOv4-ED are 81.84%, 81.99%, 49.3 MB, and 43.5 f/s, respectively, which is superior to the comparison models in both detection accuracy and efficiency. Based on robust and cost-effective YOLOv4-ED, a tunnel lining defect detection platform (TLDDP) with the capacity of automated inspection of various lining defects (i.e., water leakage, crack, rebar-exposed) is built. The established TLDDP can realize the high-precision and automatic detection of multiple tunnel lining defects under different lighting and complex background conditions of the practical in-service tunnel.

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“…Compared with the previous two years, the number of graded highway tunnels increased by 40% and 49% respectively. Besides, more and more tunnels were constructed at a complex environment [1][2][3]. While the tunnel construction is highly developed, the noise pollution problem in the tunnel has also become more serious.…”

Section: Introductionmentioning

confidence: 99%

Field Measurements for Traffic Noise Reduction in Highway Tunnels Using Closed-Cell Aluminum Foam Board

Zhang

Gong²,

Wan

et al. 2022

Applied Sciences

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In order to explore the sound absorption and noise reduction performance of closed-cell aluminum foam in the tunnel, the field test of the sound absorption performance of aluminum foam board was carried out based on the installation of aluminum foam board in the whole line of Haoshanyu Tunnel on Qinglan Expressway. Combined with the existing loudspeaker test and typical tunnel measurements, a new field test method for the noise reduction performance of closed-cell aluminum foam board was proposed for two different working conditions including fixed-point pure tone sound source condition and mobile vehicle sound source condition. The testing results of the new methods were analyzed, and it showed that the closed-cell aluminum foam has good sound absorption property at the frequency spectra between 250 Hz and 1000 Hz, and the farther away from the sound source, the better the sound absorption effect. In the research on the noise reduction effect of actual vehicle, it was found that the insertion loss of the closed-cell foam aluminum board is about 4 dB(A), which indicated that the closed-cell aluminum foam can play a certain noise reduction effect in the tunnel.

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Sealing performance of a precast tunnel gasketed joint under high hydrostatic pressures: Site investigation and detailed numerical modeling

Cited by 30 publications

References 28 publications

A comprehensive evaluation method and application of shield tunnel structure health based on variable weight theory

A comprehensive evaluation method and application of shield tunnel structure health based on variable weight theory

Automatic detection method of tunnel lining multi‐defects via an enhanced You Only Look Once network

Field Measurements for Traffic Noise Reduction in Highway Tunnels Using Closed-Cell Aluminum Foam Board

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