| 基于ANN的船舶撞击高桩码头群桩损伤位置预测 |
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| 引用本文： | 王璟,孙克俐.基于ANN的船舶撞击高桩码头群桩损伤位置预测[J].港工技术,2020(2):34-38. |
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| 作者姓名： | 王璟 孙克俐 |
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| 作者单位： | 天津大学港口海岸及近海工程系 |
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| 摘 要： | 本文采用有限元软件ABAQUS建立了船舶撞击高桩码头群桩的空间有限元模型。通过计算评估了撞击力、桩体刚度、撞击位置和撞击角度下对群桩结构损伤位置的影响。基于人工神经网络(ANN)方法,对不同参数组合下的群桩结构损伤位置进行了预测,并对ANN方法的可行性进行了评估。
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| 关 键 词： | 高桩码头 群桩 ANN 船舶撞击 损伤预测 |
Prediction of Damaged Position of Pile Clusters while a Ship Colliding with Piled Berth Structure Based on ANN |
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| Wang Jing,Sun Keli.Prediction of Damaged Position of Pile Clusters while a Ship Colliding with Piled Berth Structure Based on ANN[J].Port Engineering Technology,2020(2):34-38. |
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| Authors: | Wang Jing Sun Keli |
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| Institution: | (Department of Harbor and Coastal Engineering,Tianjin University,Tianjin 300072,China) |
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| Abstract: | The software ABAQUS is used to build a spatial finite element model for simulating a ship colliding with the pile clusters of piled berth structure.The calculation results are studied to evaluate the influence of ship’s impact force,the stiffness of piles,the collision position and angle on the damaged position of pile clusters.Based on the artificial neural network(ANN),the damaged positions of pile clusters under various combinations of parameters are predicted.In addition,the feasibility of ANN is evaluated. |
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| Keywords: | piled berth structure pile clusters ANN ship impact damage prediction |
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