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A Deep Learning Approach for Predicting Two-dimensional Soil Consolidation Using Physics-Informed Neural Networks (PINN). (arXiv:2205.05710v1 [cs.CE])
cs.LG updates on arXiv.org arxiv.org
Soil consolidation is closely related to seepage, stability, and settlement
of geotechnical buildings and foundations, and directly affects the use and
safety of superstructures. Nowadays, the unidirectional consolidation theory of
soils is widely used in certain conditions and approximate calculations. The
multi-directional theory of soil consolidation is more reasonable than the
unidirectional theory in practical applications, but it is much more
complicated in terms of index determination and solution. To address the above
problem, in this paper, we propose a …
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