Research on an Evaluation Method for the Adaptability of TBM Tunnelling

Tan, Zhiying; Li, Zonglin; Zhou, Zhenliang; Lai, Haixiang; Jiao, Yifeng; Li, Fengyuan; Wang, Liming

doi:10.3390/app12094590

Cited by 5 publications

(4 citation statements)

References 22 publications

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“…Construction organization refers to the organization and planning of manpower, capital, materials, machinery, technology, and other factors in space, time, and resources during the construction process so that the projects can be carried out in a reasonable and orderly manner and the projects quality, low cost, and fast progress can be guaranteed [17]. By using the AHP-EW model to construct the adaptability system of the TBM tunnel, Tan et al proposed that the program using modern information technology can deal with the tunnel engineering problems under uncertain conditions in the construction process and further strengthen the adaptability of TBM tunneling in the formation [18]. Fouladgar et al used the TOPSIS method to address multi-standard decision-making to identify risk parameters of uncertainty to assess the degree of risk the tunnel project encounters in the construction organization.…”

Section: Construction Organization Of Urban Rail Transit Projectmentioning

confidence: 99%

Research on the Resilience Evaluation of Urban Rail Transit Construction Organization Based on the Cloud Matter-Element Model: A Case Study of Nanchang West Station

Liu,

Yuan

2024

Buildings

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In the construction of urban rail transit projects, the disturbance of equipment, sudden failure, rainstorms, and other emergencies may bring serious safety risks. Resilience theory emphasizes the ability of the system to resist, adapt, absorb, and learn from risks in the whole process before, during, and after the occurrence of risks. It is introduced into the safety management of construction organization of urban rail transit projects to describe the ability of urban rail transit projects to cope with risks in the whole process of dealing with construction risks. This study defines the connotation of the resilience of the project construction organization and uses the literature frequency statistics method to determine the resilience evaluation indexes. The game theory combination weighting method is used to determine the index weights, and the cloud matter element model is used to establish the evaluation model of construction organization resilience of urban rail transit projects. Taking Nanchang West Station of Phase 1 Project of Nanchang Line 2 as an example, the validity and accuracy of the model are verified. The results show that the resilience grade of the construction organization of the project is “higher resilience,” which is consistent with the actual survey situation, and the evaluation model is reasonable. In addition, in the evaluation results, the key indexes and risk indexes of the project are determined, and the safety management measures of the construction organization of the project are put forward according to the key indexes and risk indexes.

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Section: Construction Organization Of Urban Rail Transit Projectmentioning

confidence: 99%

Research on the Resilience Evaluation of Urban Rail Transit Construction Organization Based on the Cloud Matter-Element Model: A Case Study of Nanchang West Station

Liu,

Yuan

2024

Buildings

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“…Guo et al [17] proposed a three-stage method to predict the collapse area in real-time by combining the data generated by TBM with the deep learning algorithm. Taking Xinjiang water conservancy project as their background context, Tan et al [18] determined 11 TBM tunnel adaptability evaluation indexes by considering the influence of tunnel excavation parameters, geological conditions and adverse geological factors on TBM tunnel adaptability.…”

Section: The Introductionmentioning

confidence: 99%

Development and Application of Adaptive Evaluation System for TBM Tunneling Based on Case-Based Reasoning

et al. 2023

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The excavation adaptability evaluation decision process for the TBM (tunnel boring machine) in long and large tunnels under complex geological conditions is an uncertain and fuzzy problem affected by multiple factors. Aiming to shift the status quo of TBMs tunneling adaptability evaluation and the ineffective use of related accident cases, the TBM tunneling adaptability evaluation method based on case-based reasoning is proposed and researched. The case-based reasoning method can use existing engineering experience and knowledge to answer newly encountered problems, and can accurately and efficiently evaluate the adaptability of TBM tunneling. Based on the nearest neighbor method, this paper establishes the calculation formula of TBM tunneling adaptability similarity. Based on the statistical analysis method, the evaluation indicators that play a relatively important role in the system are selected, and the TBM tunneling adaptability evaluation index system is constructed. The analytic hierarchy process (AHP) is used to determine the weight of the evaluation indicators at each level. According to the characteristics of TBM tunneling adaptability evaluation, the overall design of the case-based reasoning-based TBM tunneling adaptability evaluation decision system CBR-TBMEAEDS (case-based reasoning-TBM excavation adaptive evaluation decision system) is proposed, and the TBM tunneling adaptability evaluation case is expressed The case-based reasoning method and modification method were designed, and CBR-TBMEAEDS was developed. The system can be used to evaluate the adaptability of TBM to the constructed case library, and the evaluation results are consistent with the actual situation.

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“…He et al (2013) proposed that the adaptability of the TBM to roadway should be improved according to the surrounding rock conditions and TBM models after comparing different roadway excavation construction technologies. Tan et al (2022) proposed 11 evaluation indexes for TBM tunneling adaptability combined with the actual conditions of the tunnel and optimized the evaluation indexes. Zhang et al (2022) used the Bi-GRU-ATT model to study the prediction of TBM tunnel parameters, and the research shows that the model can help the TBM to make intelligent decision analysis.…”

Section: Introductionmentioning

confidence: 99%

Study on the improvement of the open TBM system and supporting equipment based on the Gaojiapu Coal Mine

Liu¹,

Ren²,

Zhou³

et al. 2023

Front. Earth Sci.

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In order to cope with multi-dimensional mine disasters in deep mines, enhance the adaptability of the open tunnel-boring machine (TBM) to the actual mine working face environment, and improve the excavation speed of the open TBM, based on the excavation project of Gaojiapu Coal Mine in Zhengtong Coal Industry, Shaanxi Province, this paper comprehensively considers the difficulties encountered by the TBM in the excavation process and improves the open TBM system and its supporting equipment. The research shows that removing the redundant system and supporting equipment of the open TBM can effectively solve the difficulties of the TBM entering the mine, such as loading and unloading, and turning; optimizing the open TBM shield, shortening the main beam, and setting the support platform and jumbolter system on the main beam can deal with the problem that the TBM support is not timely and easy to jam. Opening circular holes and installing slag cleaning guide plates on the main beam of the open TBM can timely clean up the waste slag on the main beam and protect the main beam from deformation. Installing a slag cleaning bucket wheel machine between the main beam of the open TBM and the trailer can reduce the accumulation of waste slag on the road ahead. Compared with ordinary excavation construction technology, the monthly average footage level of the open TBM after technical improvement is 300.88 m, which is 3.8 times that of the rock roadway general excavation and 1.6 times that of the rock roadway comprehensive excavation.

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Research on an Evaluation Method for the Adaptability of TBM Tunnelling

Cited by 5 publications

References 22 publications

Research on the Resilience Evaluation of Urban Rail Transit Construction Organization Based on the Cloud Matter-Element Model: A Case Study of Nanchang West Station

Research on the Resilience Evaluation of Urban Rail Transit Construction Organization Based on the Cloud Matter-Element Model: A Case Study of Nanchang West Station

Development and Application of Adaptive Evaluation System for TBM Tunneling Based on Case-Based Reasoning

Study on the improvement of the open TBM system and supporting equipment based on the Gaojiapu Coal Mine

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