Prediction of Wave Forces on the Box-Girder Superstructure of the Offshore Bridge with the Influence of Floating Breakwater

In recent years, with global warming and frequent natural disasters, existing offshore bridges are facing the risk of extreme wave action. The research on disaster prevention and mitigation measures of the box-girder superstructure of offshore bridges under extreme wave action is still scarce. In th...

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Main Authors: Shaorui Wang, Song Liu, Chenqing Xiang, Maosheng Li, Zhiying Yang, Bo Huang
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Journal of Marine Science and Engineering
Subjects:
Online Access:https://www.mdpi.com/2077-1312/11/7/1326
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author Shaorui Wang
Song Liu
Chenqing Xiang
Maosheng Li
Zhiying Yang
Bo Huang
author_facet Shaorui Wang
Song Liu
Chenqing Xiang
Maosheng Li
Zhiying Yang
Bo Huang
author_sort Shaorui Wang
collection DOAJ
description In recent years, with global warming and frequent natural disasters, existing offshore bridges are facing the risk of extreme wave action. The research on disaster prevention and mitigation measures of the box-girder superstructure of offshore bridges under extreme wave action is still scarce. In this paper, a numerical model based on the RANS equation and <i>k</i>-<i>ε</i> turbulence model is established to study the wave forces on the box-girder superstructures of offshore bridges with the influence of a floating breakwater. A numerical method for studying the interaction of waves and structures is proposed and verified through experimental data. The effects of many parameters of the floating breakwater on wave attenuation are investigated and a prediction model of the wave reduction rate based on neural network algorithm is proposed. The results show that the reduction rate of wave forces for fixed breakwaters can reach more than 30%, which indicates that a floating breakwater has a significant effect in reducing the wave forces on the box-girder superstructure. The wave reduction performances of the displacement-restricted breakwater and the fixed breakwater are better than that of an elastic restricted breakwater. The prediction model proposed based on the BP neural network is accurate in estimating the maximum wave forces on the box-girder superstructure with the influence of the floating breakwater.
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spelling doaj.art-34771cb12dbe406cb118e78815c4289c2023-11-18T19:58:37ZengMDPI AGJournal of Marine Science and Engineering2077-13122023-06-01117132610.3390/jmse11071326Prediction of Wave Forces on the Box-Girder Superstructure of the Offshore Bridge with the Influence of Floating BreakwaterShaorui Wang0Song Liu1Chenqing Xiang2Maosheng Li3Zhiying Yang4Bo Huang5School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, ChinaSichuan Highway Engineering Consult Supervision Company Ltd., Chengdu 610041, ChinaSchool of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, ChinaChongqing Zhongjian Engineering Quality Inspection Co., Ltd., Chongqing 400025, ChinaSchool of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, ChinaSchool of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, ChinaIn recent years, with global warming and frequent natural disasters, existing offshore bridges are facing the risk of extreme wave action. The research on disaster prevention and mitigation measures of the box-girder superstructure of offshore bridges under extreme wave action is still scarce. In this paper, a numerical model based on the RANS equation and <i>k</i>-<i>ε</i> turbulence model is established to study the wave forces on the box-girder superstructures of offshore bridges with the influence of a floating breakwater. A numerical method for studying the interaction of waves and structures is proposed and verified through experimental data. The effects of many parameters of the floating breakwater on wave attenuation are investigated and a prediction model of the wave reduction rate based on neural network algorithm is proposed. The results show that the reduction rate of wave forces for fixed breakwaters can reach more than 30%, which indicates that a floating breakwater has a significant effect in reducing the wave forces on the box-girder superstructure. The wave reduction performances of the displacement-restricted breakwater and the fixed breakwater are better than that of an elastic restricted breakwater. The prediction model proposed based on the BP neural network is accurate in estimating the maximum wave forces on the box-girder superstructure with the influence of the floating breakwater.https://www.mdpi.com/2077-1312/11/7/1326offshore bridgebox-girder superstructurewave forceneural network algorithm
spellingShingle Shaorui Wang
Song Liu
Chenqing Xiang
Maosheng Li
Zhiying Yang
Bo Huang
Prediction of Wave Forces on the Box-Girder Superstructure of the Offshore Bridge with the Influence of Floating Breakwater
Journal of Marine Science and Engineering
offshore bridge
box-girder superstructure
wave force
neural network algorithm
title Prediction of Wave Forces on the Box-Girder Superstructure of the Offshore Bridge with the Influence of Floating Breakwater
title_full Prediction of Wave Forces on the Box-Girder Superstructure of the Offshore Bridge with the Influence of Floating Breakwater
title_fullStr Prediction of Wave Forces on the Box-Girder Superstructure of the Offshore Bridge with the Influence of Floating Breakwater
title_full_unstemmed Prediction of Wave Forces on the Box-Girder Superstructure of the Offshore Bridge with the Influence of Floating Breakwater
title_short Prediction of Wave Forces on the Box-Girder Superstructure of the Offshore Bridge with the Influence of Floating Breakwater
title_sort prediction of wave forces on the box girder superstructure of the offshore bridge with the influence of floating breakwater
topic offshore bridge
box-girder superstructure
wave force
neural network algorithm
url https://www.mdpi.com/2077-1312/11/7/1326
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