Study of DQN-based shield tunnel fiber grating sensing monitoring section layout optimization

Tipeng Zheng; Rongjun Xing

doi:10.1117/12.2656477

20 October 2022 Study of DQN-based shield tunnel fiber grating sensing monitoring section layout optimization

Tipeng Zheng, Rongjun Xing

Proceedings Volume 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022); 124510D (2022) https://doi.org/10.1117/12.2656477
Event: 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 2022, Chongqing, China

Abstract

Nowadays, tunnel managers are paying more and more attention to the real-time sensing of tunnel morphology. At the same time, many researchers have proposed methods for real-time monitoring of tunnel morphology based on fiber-optic grating sensors, but these research methods have rarely discussed the impact of the layout of the monitoring scheme on the reconstructed shield tunnel profile. This study explores the problem of optimizing the layout of sensors in shield tunnel sections by using the DQN algorithm based on reinforcement learning algorithms. A cross-river shield tunnel is used as a model, and its daily loading conditions are simulated to verify the effectiveness of the DQN-based shield tunnel section layout optimization. It is also compared to the commonly used uniform and the traditional optimized layout. The results show that the optimization method in this study improves the accuracy of reconstructed section curves by 78.29% over the uniform layout and 70.11% over the traditional optimized layout, proving that the method proposed in this study can better reconstruct the realistic shield tunnel section morphology.

Citation Download Citation

Tipeng Zheng and Rongjun Xing "Study of DQN-based shield tunnel fiber grating sensing monitoring section layout optimization", Proc. SPIE 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 124510D (20 October 2022); https://doi.org/10.1117/12.2656477

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