Data-driven forward and inverse analysis of two-dimensional soil consolidation using physics-informed neural network

Data-driven forward and inverse analysis of two-dimensional soil consolidation using physics-informed neural network

Employing machine learning algorithms to forecast the behavior of nonlinear spatiotemporal systems, such as soil consolidation induced by land reclamation, has been popular in recent years. Although pure data-driven models demonstrate strong performance within their training domain, i.e., in-sample...

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Bibliographic Details
Main Authors: Wang, Yu, Shi, Chao, Shi, Jiangwei, Lu, Hu
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2024
Subjects:
Engineering
Conditional prediction
Parameter identification
Online Access:https://hdl.handle.net/10356/179542
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/179542

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