Mechanism-Driven Intelligent Settlement Prediction for Shield Tunneling Through Areas Without Ground Monitoring DOI Creative Commons
Min Hu,

Pengpeng Zhao,

Jing Lu

et al.

Smart Cities, Journal Year: 2024, Volume and Issue: 8(1), P. 6 - 6

Published: Dec. 27, 2024

Ground settlement is a crucial indicator for assessing the safety of shield tunneling and its impact on surrounding environment. However, most existing prediction methods are based historical data, which can only be applied with effective monitoring conditions. To overcome this limitation, paper proposes mechanism-driven intelligent method (MISPM), considers mechanisms attitude movements during construction to design new features that indirectly reflect settlement. Simulation experiments were used compare different candidate algorithms performance, verifying validity accuracy model. The efficacy MISPM in predicting changes advance was substantiated by practical engineering applications. Results showed could accurately predict even without ground monitoring, thereby corroborating reliability applicability supporting safe complex geological environments. In urban infrastructure, has potential enhance efficiency tunnel ensure environmental safety, great significance development smart cities.

Language: Английский

Impact of Tunneling Parameters on Disc Cutter Wear During Rock Breaking in Transient Conditions DOI
Baoping Zou, Yu Chen, Y. Bao

et al.

Wear, Journal Year: 2024, Volume and Issue: 560-561, P. 205620 - 205620

Published: Nov. 2, 2024

Language: Английский

Citations

6
A novel workflow including denoising and hybrid deep learning model for shield tunneling construction parameter prediction DOI
Yuxian Zhang, Xuhua Ren, Jixun Zhang

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 133, P. 108103 - 108103

Published: Feb. 20, 2024

Language: Английский

Citations

5
Research on BIM-Based Visualization, Simulation, and Early Warning System for Shield Tunnel Construction DOI Creative Commons

Qian Qian Cheng,

Xiangyu Wang, Junbo Sun

et al.

Buildings, Journal Year: 2025, Volume and Issue: 15(5), P. 746 - 746

Published: Feb. 25, 2025

This study aims to facilitate a comparison between construction monitoring data and simulation results, focusing on the dynamic adjustment of safety parameters in shield construction. First, finite element was performed define reasonable range for based settlement control values, thereby determining theoretical value. An early warning system then developed integrating two key factors: values. Finally, Dynamo used merge digital analog data, enhancing visual representation information. The findings show that combining simulations with an effectively addresses challenges parameters. Furthermore, significantly improves efficiency real-time visualization data. research provides novel effective methodology tunnel safety, precision, efficiency, offering critical insights large-scale infrastructure projects contributing more reliable systems complex environments.

Language: Английский

Citations

0
Optimizing construction duration estimation and monitoring for public building projects in Addis Ababa through an integrated deterministic and probabilistic conceptual model DOI Creative Commons

Soreti Merga Liben,

Demiss A. Belachew,

Walied A. Elsaigh

et al.

Journal of Asian Architecture and Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 20

Published: April 14, 2025

Language: Английский

Citations

0
Static and Dynamic Performance Analysis of Cable-Stayed Bridges with Cables Damaged Fire DOI Creative Commons
Xi‐Long Zheng, Jiashuo Jian, Lei Liu

et al.

Buildings, Journal Year: 2024, Volume and Issue: 14(4), P. 884 - 884

Published: March 25, 2024

Cable-stayed bridges have been widely used in large-span bridge engineering because of their large span capacity and novel structure. The frequent traffic vehicles transporting flammable explosive materials has increased the incidence fires. After being burned, cable-stayed will suffer from varying degrees damage, which affects its performance. Therefore, mechanical analysis evaluation fire-damaged are necessary. Due to development technology, structural gradually shifted experimental methods numerical simulation or artificial intelligence methods, local performance research holistic research. In this paper, a fire accident Sifangtai Bridge Harbin, China, is taken as case study. Finite element software damage theory calculation were used, static dynamic performances under condition cable analyzed. results show that variation force during movement vehicle load along relatively small, within range 7% 12%. fusing upper cables tower greatest impact on deflection beam, while lower same entire undamaged state. Near fused cables, forces change significantly, increasing by over 20%. As degree increases, increase beam becomes more pronounced. different reflected quantitative changes. amount increase, frequency This paper not only provides technical support theoretical basis for damaged fire, but it also improves content combining performance, important reference values similar future.

Language: Английский

Citations

2
Prediction and Control of Existing High-Speed Railway Tunnel Deformation Induced by Shield Undercrossing Based on BO-XGboost DOI Open Access
Ruizhen Fei,

Hongtao Wu,

Limin Peng

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(23), P. 10563 - 10563

Published: Dec. 2, 2024

The settlement of existing high-speed railway tunnels due to adjacent excavations is a complex phenomenon influenced by multiple factors, making accurate estimation challenging. To address this issue, prediction model combining extreme gradient boosting (XGBoost) with Bayesian optimization (BO), namely BO-XGBoost, was developed. Its predictive performance evaluated against conventional models, such as artificial neural networks (ANNs), support vector machines (SVMs), and vanilla XGBoost. BO-XGBoost showed superior results, evaluation metrics MAE = 0.331, RMSE 0.595, R2 0.997. In addition, the enhanced interpretability through an accessible analysis feature importance, identifying volume loss most critical factor affecting predictions. Using particle swarm (PSO) algorithm, hybrid framework established adjust operational parameters shield tunneling machine in Changsha Metro Line 3 project. This facilitates timely implementation protective measures mitigate excessive settlement. With framework’s assistance, maximum settlements tunnel all typical sections were strictly controlled within safety criteria. As result, corresponding environmental impact minimized resource management optimized, ensuring construction safety, efficiency, long-term sustainability.

Language: Английский

Citations

1
Mechanism-Driven Intelligent Settlement Prediction for Shield Tunneling Through Areas Without Ground Monitoring DOI Creative Commons
Min Hu,

Pengpeng Zhao,

Jing Lu

et al.

Smart Cities, Journal Year: 2024, Volume and Issue: 8(1), P. 6 - 6

Published: Dec. 27, 2024

Ground settlement is a crucial indicator for assessing the safety of shield tunneling and its impact on surrounding environment. However, most existing prediction methods are based historical data, which can only be applied with effective monitoring conditions. To overcome this limitation, paper proposes mechanism-driven intelligent method (MISPM), considers mechanisms attitude movements during construction to design new features that indirectly reflect settlement. Simulation experiments were used compare different candidate algorithms performance, verifying validity accuracy model. The efficacy MISPM in predicting changes advance was substantiated by practical engineering applications. Results showed could accurately predict even without ground monitoring, thereby corroborating reliability applicability supporting safe complex geological environments. In urban infrastructure, has potential enhance efficiency tunnel ensure environmental safety, great significance development smart cities.

Language: Английский

Citations

0