Application of improved physics-informed neural networks for nonlinear consolidation problems with continuous drainage boundary conditions-Reference-Cited by-同舟云学术

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Application of improved physics-informed neural networks for nonlinear consolidation problems with continuous drainage boundary conditions

Published:2023-05-23 Issue:1 Volume:19 Page:495-508
ISSN:1861-1125
Container-title:Acta Geotechnica
language:en
Short-container-title:Acta Geotech.

Author:

Lan Peng^ORCID,Su Jing-jing,Ma Xin-yan,Zhang Sheng

Funder

Fundamental Research Funds for the Central Universities of Central South University

National Natural Science Foundation of China

Huxiang high-level talent gathering project

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Geotechnical Engineering and Engineering Geology

Link

https://link.springer.com/content/pdf/10.1007/s11440-023-01899-0.pdf

Reference61 articles.

1. Abadi M, Agarwal A, Barham P, et al (2016) TensorFlow: large-scale machine learning on heterogeneous distributed systems. arXiv:1603.04467 [cs]

2. Bandai T, Ghezzehei TA (2021) Physics-informed neural networks with monotonicity constraints for Richardson-Richards equation: estimation of constitutive relationships and soil water flux density from volumetric water content measurements. Water Res 57(2):e2020WR027642. https://doi.org/10.1029/2020WR027642

3. Bandai T, Ghezzehei TA (2022) Forward and inverse modeling of water flow in unsaturated soils with discontinuous hydraulic conductivities using physics-informed neural networks with domain decomposition. Hydrol Earth Syst Sch 2022:1–42. https://doi.org/10.5194/hess-2022-73

4. Barden L, Berry PL (1965) Consolidation of normally consolidated clay. J Soil Mech Found Div 91(5):15–35. https://doi.org/10.1061/JSFEAQ.0000790

5. Bartholomeeusen G, Sills GC, Znidarčić D, Van Kesteren W, Merckelbach LM, Pyke R, Carrier WD, Lin H, Penumadu D, Winterwerp H, Masala S, Chan D (2002) Sidere: numerical prediction of large-strain consolidation. Géotechnique 52(9):639–48. https://doi.org/10.1680/geot.2002.52.9.639

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