Spatiotemporal Deformation Prediction Model for Retaining Structures Integrating ConvGRU and Cross-Attention Mechanism

Spatiotemporal Deformation Prediction Model for Retaining Structures Integrating ConvGRU and Cross-Attention Mechanism

With the exponential growth of engineering monitoring data, data-driven neural networks have gained widespread application in predicting retaining structure deformation in foundation pit engineering. However, existing models often overlook the spatial deflection correlations among monitoring points....

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Bibliographic Details
Main Authors: Yanyong Gao, Zhaoyun Xiao, Zhiqun Gong, Shanjing Huang, Haojie Zhu
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Buildings
Subjects:
deep foundation pit
deformation prediction
deep learning
attention mechanism
convolution
gated recursive unit
Online Access:https://www.mdpi.com/2075-5309/15/14/2537
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