Real-time online prediction of surface settlement considering spatiotemporal characteristics during foundation excavation
Author:
Publisher
Elsevier BV
Subject
Building and Construction,Civil and Structural Engineering,Control and Systems Engineering
Reference49 articles.
1. Deformation analysis and safety assessment of existing metro tunnels affected by excavation of a foundation pit;Ye;Underground Space (China).,2021
2. Deformation characteristics and failure evolution process of the existing metro station under unilateral deep excavation;Zhou;Eng. Fail. Anal.,2022
3. Analysis of ground surface settlement induced by the construction of mechanized twin tunnels in soil-rock mass mixed ground;Zhong;Tunn. Undergr. Space Technol.,2021
4. Online prediction of noisy time series: dynamic adaptive sparse kernel recursive least squares from sparse and adaptive tracking perspective;Zhong;Eng. Appl. Artif. Intell.,2020
5. Field experiment and numerical simulation of coupling non-Darcy flow caused by curtain and pumping well in foundation pit dewatering;Wang;J. Hydrol.,2017
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4. Spatio-temporal prediction of deep excavation-induced ground settlement: A hybrid graphical network approach considering causality;Tunnelling and Underground Space Technology;2024-04
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