Physic-Informed Neural Network Approach Coupled with Boundary Conditions for Solving 1D Steady Shallow Water Equations for Riverine System-Reference-Cited by-同舟云学术

Physic-Informed Neural Network Approach Coupled with Boundary Conditions for Solving 1D Steady Shallow Water Equations for Riverine System

Published:2023-05-18 Issue: Volume: Page:
ISSN:
Container-title:World Environmental and Water Resources Congress 2023
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Author:

Yin Zeda¹²³⁴⁵,Bian Linglong¹²³⁴⁵,Hu Beichao¹²³⁴⁵,Shi Jimeng¹²³⁴⁵,Leon Arturo S.¹²³⁴⁵

Affiliation:

1. Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Florida International Univ., Miami, FL.

2. Postdoctoral and Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Florida International Univ., Miami, FL.

3. Ph.D. Candidate, Dept. of Mechanical and Material Engineering, Florida International Univ., Miami, FL.

4. Ph.D. Student, Knight Foundation School of Computing and Information Sciences, Florida International Univ., Miami, FL.

5. Associate Professor, Dept. of Civil and Environmental Engineering, Florida International Univ., Miami, FL.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784484852.027

Reference17 articles.

1. Short term rainfall-runoff modelling using several machine learning methods and a conceptual event-based model

2. On the application of physics informed neural networks (PINN) to solve boundary layer thermal-fluid problems;Bararnia H.;International Communications in Heat and Mass Transfer,2022

3. Brunner, G. W. (2002). Hec-ras (river analysis system). In North American water and environment congress & destructive water (pp. 3782–3787). ASCE.

4. Physics-informed neural networks for heat transfer problems;Cai S.;Journal of Heat Transfer,2021

5. Physics-informed neural networks (PINNs) for fluid mechanics: A review;Cai S.;Acta Mechanica Sinica,2022

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