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Data supporting a publication "Physics informed neural networks for solving flow problems modelled by the Shallow Water Equations" by Xin Qi

Data supporting a publication "Physics informed neural networks for solving flow problems modelled by the Shallow Water Equations" by Xin Qi
Data supporting a publication "Physics informed neural networks for solving flow problems modelled by the Shallow Water Equations" by Xin Qi
Dataset supporting an article "Physics informed neural networks for solving flow problems modelled by the Shallow Water Equations" by Xin Qi. The data contains outputs from 3 test cases: wave propagation, steady flow, Tiber flooding. Two extra floders "Appendix_spatial_analysis" and "Appendix_model_design_experiment" support the appendix in the paper. 1.“database_wave”: The result for the test case “Flood wave propagation over a horizontal plane” . 2.“database_mac”: The result for the test case “Subcritical steady flow over an undulating bed”. 3.“database_Tiber”: The result for the test case “Simulation of real-world river flooding” . 4.“Appendix_spatial_analysis”: The result for the Appendix “Further Spatial Analysis For Test 3”. 5.“Appendix_model_design_experiment”: The result for the Appendix “PINN Design Experiments”.
Physics-informed neural network, Fully connected neural network, Convolutional neural network, Shallow water equations, Free-surface flow
University of Southampton
Qi, Xin
e38f880b-1307-4ef0-9ba7-daf282efa0b1
Qi, Xin
e38f880b-1307-4ef0-9ba7-daf282efa0b1

Qi, Xin (2023) Data supporting a publication "Physics informed neural networks for solving flow problems modelled by the Shallow Water Equations" by Xin Qi. University of Southampton doi:10.5258/SOTON/D2645 [Dataset]

Record type: Dataset

Abstract

Dataset supporting an article "Physics informed neural networks for solving flow problems modelled by the Shallow Water Equations" by Xin Qi. The data contains outputs from 3 test cases: wave propagation, steady flow, Tiber flooding. Two extra floders "Appendix_spatial_analysis" and "Appendix_model_design_experiment" support the appendix in the paper. 1.“database_wave”: The result for the test case “Flood wave propagation over a horizontal plane” . 2.“database_mac”: The result for the test case “Subcritical steady flow over an undulating bed”. 3.“database_Tiber”: The result for the test case “Simulation of real-world river flooding” . 4.“Appendix_spatial_analysis”: The result for the Appendix “Further Spatial Analysis For Test 3”. 5.“Appendix_model_design_experiment”: The result for the Appendix “PINN Design Experiments”.

Archive
PINNs_for_flow_SWE.zip - Dataset
Available under License Creative Commons Attribution.
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Archive
Appendix_model_design_experiment.zip - Dataset
Available under License Creative Commons Attribution.
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Text
D2645-_README.txt - Dataset
Available under License Creative Commons Attribution.
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More information

Published date: 26 May 2023
Keywords: Physics-informed neural network, Fully connected neural network, Convolutional neural network, Shallow water equations, Free-surface flow

Identifiers

Local EPrints ID: 488907
URI: http://eprints.soton.ac.uk/id/eprint/488907
DOI: doi:10.5258/SOTON/D2645
PURE UUID: 80c75b50-6cbd-4165-a930-290450c5c546

Catalogue record

Date deposited: 09 Apr 2024 16:38
Last modified: 09 Apr 2024 22:06

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Contributors

Creator: Xin Qi

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