Prediction methods on tunnel-excavation induced surface settlement around adjacent building

Ding, Zhi; Wei, Xinjiang; Wei, Gang

doi:10.12989/gae.2017.12.2.185

Cited by 29 publications

(11 citation statements)

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“…Based on the shortcomings of current risk management system, Gu et al [18] constructed a risk management system according to the closed-loop management theory which classifies risk in accordance with level, grade, and profession and proposed a six-link closed-loop management model. In addition, Tianjin, Nanning, Shenyang, Hefei, and other places have also carried out the research and application of the safety risk management information system for the construction of rail transit projects [19][20][21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Research and Application of Intelligent Monitoring System Platform for Safety Risk and Risk Investigation in Urban Rail Transit Engineering Construction

Zhao

Jiang

et al. 2021

Advances in Civil Engineering

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In recent years, the construction scale of urban rail transit project is still in a high growth stage. In addition, the geology and surrounding environment of crossing lines are complex, and all kinds of safety accidents are still in a high incidence stage. Based on the investigation and summary of safety risk events and their causes in urban rail transit engineering construction at home and abroad, this paper fully combines the current national security management policies, introduces the “dual control” concept of safety risk classification and hidden danger investigation, and develops the intelligent monitoring system platform for urban rail transit engineering construction based on advanced technologies such as intelligent Internet of Things, 3D visualization, and artificial intelligence. It realizes the intelligent collection and analysis of engineering field monitoring data, the dynamic early warning management of engineering risk sources, the process embedding “dual control” mechanism of safety risk and hidden danger investigation, the real-time supervision of large equipment operations such as shield and hoisting, and the real-time control of high-risk operation sections such as contact channels. At the same time, the traceability and assessment management of the safety supervision process are strengthened. The parties involved in the project can realize the synchronous sharing of information through the platform and improve the efficiency of on-site safety and quality control.

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Section: Introductionmentioning

confidence: 99%

Research and Application of Intelligent Monitoring System Platform for Safety Risk and Risk Investigation in Urban Rail Transit Engineering Construction

Zhao

Jiang

et al. 2021

Advances in Civil Engineering

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“…Meanwhile, a growing demand on housing, viaduct, infrastructure, and open space is competing for the urban surface areas, but also the subsurface, which makes shield tunneling often needs to pass through lots of pile foundations. However, even the most advanced shield technology will inevitably redistribute the initial stress of surrounding soil, causing surface subsidence, inclination, and discontinuous deformation, which may affect adjacent pile foundations [4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Effects of Different Construction Sequences on Ground Surface Settlement and Displacement of Single Long Pile due to Twin Paralleled Shield Tunneling

Huang

Sun

Huang

et al. 2021

Advances in Civil Engineering

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Shield tunneling activities inevitably pass through pile foundations at close distance in densely urban areas. Various studies have investigated the interaction between newly constructed tunnels and existing pile foundations. However, the influence of different construction sequences of twin paralleled shield tunneling on single long pile is seldom considered. A case was found in the project of Changsha Metro Line 5, where the twin paralleled tunnels were constructed near the Wanjiali Viaduct piles. A three-dimensional finite element model was established to analyze the pier settlement, ground surface settlement trough, and the vertical and horizontal displacement of pile under different construction sequences in layered soil. The results show that the adjacent pile and surrounding environment are affected substantially with the change of construction sequence of twin paralleled tunnels. The construction sequence of condition (b), in which the tunnel closer to the pile foundation is first constructed and then the tunnel farther away from the pile foundation is second constructed, can reduce the settlement of pier by 13.1%, the maximum surface settlement by 7.0%, the maximum vertical displacement of pile foundation by 7.9%, and the maximum horizontal displacement by 6.9%. The present findings can provide reference for similar projects.

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“…Tunneling is one of the methods to develop underground space using machinery such as shield TBMs. In the past few decades, researchers have been using traditional methods such as analytical methods and numerical simulation methods to solve tunnel-related problems [3,4]. However, obtaining accurate results is not easy because many calculations require detailed external parameters and reasonable estimates.…”

Section: Introductionmentioning

confidence: 99%

Application of Artificial Neural Network in Tunnel Engineering: A Systematic Review

Wang

Wei

et al. 2020

IEEE Access

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Due to the lack of living space and the increase in population, there has been a construction boom in the underground space to improve the quality of human life. Tunnel engineering plays a vital role in the development of underground space. In addition to traditional methods, some intelligent methods such as artificial neural networks (ANNs) have been applied to various problems in the tunnel domain in recent years. This paper systematically reviews the application of ANNs from different aspects of tunnel engineering. It reveals that the backpropagation algorithm (BPA) and Levenberg-Marquardt algorithm (LMA) are the most widely used. Due to the limitations of some original models, some scholars use optimization algorithms such as particle swarm optimization (PSO) and genetic algorithm (GA) to optimize the original ANNs to obtain better prediction results. A comparison between the ANN-based methods and methods like statistical methods is conducted. Finally, the following conclusions can be drawn: (1) The recommended ratio of the training set and test set is 3:1; (2) The advantage of optimized ANNs is not apparent when the optimization algorithm varies. Additionally, the performance of ANNs is always better than that of statistical methods.

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Prediction methods on tunnel-excavation induced surface settlement around adjacent building

Cited by 29 publications

References 0 publications

Research and Application of Intelligent Monitoring System Platform for Safety Risk and Risk Investigation in Urban Rail Transit Engineering Construction

Research and Application of Intelligent Monitoring System Platform for Safety Risk and Risk Investigation in Urban Rail Transit Engineering Construction

Effects of Different Construction Sequences on Ground Surface Settlement and Displacement of Single Long Pile due to Twin Paralleled Shield Tunneling

Application of Artificial Neural Network in Tunnel Engineering: A Systematic Review

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