Research on rock fracture evolution prediction model based on Adam-ConvLSTM and transfer learning

Research on rock fracture evolution prediction model based on Adam-ConvLSTM and transfer learning

Abstract The propagation of rock fractures is essential for maintaining engineering safety, yet traditional theoretical methods are burdened by challenges such as complex sample collection and lengthy prediction processes. To address these challenges, this study develops a deep learning model based...

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Bibliographic Details
Main Authors: Runze Liu, Ziwei Wang, Yanbo Zhang, Xulong Yao, Shaohong Yan, Zhiyuan Chen, Shuai Wang, Hua Li, Qi Wang
Format: Article
Language:English
Published: Springer 2025-03-01
Series:Discover Applied Sciences
Subjects:
Rock fracture prediction
Numerical simulation
Convolutional long short-term memory neural network
Adaptive moment estimation
Transfer learning
Structure similarity index measure
Online Access:https://doi.org/10.1007/s42452-025-06661-7
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https://doi.org/10.1007/s42452-025-06661-7

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