Application of convolutional neural network method in evolution of tidal bore hydrodynamic characteristics

doi:10.3969/j.issn.1001-909X.2024.03.011

Abstract

Abstract:

The open source software OpenFOAM was used to solve the Reynolds-averaged Navier-Stokes equations, numerical simulations of wave surges (Fr=1.2~1.3) was implemented, and the results were compared with physical experimental data to verify the accuracy of the numerical simulations. The data was studied based on the CONV1D convolutional neural network model to predict the dynamic development process of tidal bore on terrain with slope. Comparison of the model prediction and numerical simulation results for the arrival time and the maximum water level of the tidal bore at x=30.0 m shows that the average relative error in the arrival time is 2.28%, and the average relative error in the maximum water level is 3.73%. The smaller relative error proves the accuracy of the CONV1D model. This result has certain research significance for the simulation of the hydrodynamic process of tidal bore, early warning of tidal bore disasters, and the study of future development trends of primary tidal bore.

Key words: tidal bore, Qiantang River, OpenFOAM, hydrodynamic process, slope, convolutional neural network, CONV1D, numerical simulation

CLC Number:

P731.23

WANG Zhihong, QU Ke, YANG Yuanping, WANG Xu, GAO Rongze. Application of convolutional neural network method in evolution of tidal bore hydrodynamic characteristics[J]. Journal of Marine Sciences, 2024, 42(3): 131-141.

Figures/Tables 14

References 28

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工况序号	潮前水深 h₀/m	波高H/m	潮后水深 h₁/m	潮后流速 u₁/(m·s^-1)
1	0.05	0.07	0.12	0.83
2	0.05	0.03	0.08	0.38

工况序号	潮前水深 h₀/m	波高H/m	潮后水深 h₁/m	潮后流速 u₁/(m·s^-1)
1	0.05	0.07	0.12	0.83
2	0.05	0.03	0.08	0.38

工况序号	潮前水深 h₀/m	波高H/m	潮后水深 h₁/m	潮后流速 u₁/(m·s^-1)	Fr	工况序号	潮前水深 h₀/m	波高H/m	潮后水深 h₁/m	潮后流速 u₁/(m·s^-1)	Fr
1	0.36	0.14	0.50	0.678	1.288	14	0.42	0.16	0.58	0.718	1.282
2	0.38	0.14	0.52	0.662	1.273	15	0.44	0.16	0.60	0.703	1.269
3	0.40	0.14	0.54	0.647	1.259	16	0.37	0.12	0.49	0.579	1.241
4	0.42	0.14	0.56	0.633	1.247	17	0.38	0.12	0.50	0.572	1.234
5	0.44	0.14	0.58	0.620	1.236	18	0.40	0.13	0.53	0.603	1.241
6	0.37	0.15	0.52	0.715	1.300	19	0.42	0.13	0.55	0.590	1.230
7	0.38	0.15	0.53	0.706	1.292	20	0.44	0.13	0.57	0.578	1.219
8	0.40	0.15	0.55	0.690	1.278	21	0.37	0.11	0.48	0.533	1.221
9	0.42	0.15	0.57	0.676	1.265	22	0.38	0.11	0.49	0.527	1.215
10	0.44	0.15	0.59	0.662	1.253	23	0.40	0.12	0.52	0.559	1.223
11	0.37	0.13	0.50	0.624	1.260	24	0.42	0.12	0.54	0.547	1.212
12	0.38	0.13	0.51	0.617	1.254	25	0.44	0.12	0.56	0.535	1.203
13	0.40	0.16	0.56	0.734	1.296

工况序号	潮前水深 h₀/m	波高H/m	潮后水深 h₁/m	潮后流速 u₁/(m·s^-1)	Fr	工况序号	潮前水深 h₀/m	波高H/m	潮后水深 h₁/m	潮后流速 u₁/(m·s^-1)	Fr
1	0.36	0.14	0.50	0.678	1.288	14	0.42	0.16	0.58	0.718	1.282
2	0.38	0.14	0.52	0.662	1.273	15	0.44	0.16	0.60	0.703	1.269
3	0.40	0.14	0.54	0.647	1.259	16	0.37	0.12	0.49	0.579	1.241
4	0.42	0.14	0.56	0.633	1.247	17	0.38	0.12	0.50	0.572	1.234
5	0.44	0.14	0.58	0.620	1.236	18	0.40	0.13	0.53	0.603	1.241
6	0.37	0.15	0.52	0.715	1.300	19	0.42	0.13	0.55	0.590	1.230
7	0.38	0.15	0.53	0.706	1.292	20	0.44	0.13	0.57	0.578	1.219
8	0.40	0.15	0.55	0.690	1.278	21	0.37	0.11	0.48	0.533	1.221
9	0.42	0.15	0.57	0.676	1.265	22	0.38	0.11	0.49	0.527	1.215
10	0.44	0.15	0.59	0.662	1.253	23	0.40	0.12	0.52	0.559	1.223
11	0.37	0.13	0.50	0.624	1.260	24	0.42	0.12	0.54	0.547	1.212
12	0.38	0.13	0.51	0.617	1.254	25	0.44	0.12	0.56	0.535	1.203
13	0.40	0.16	0.56	0.734	1.296

工况序号	1	2	3	4	5	6	7	8	9	10
水深/m	0.40	0.40	0.38	0.37	0.42	0.39	0.41	0.45	0.46	0.38
波高/m	0.16	0.13	0.14	0.11	0.12	0.13	0.12	0.15	0.17	0.15