基于神经网络的海洋平台单自由度水动力参数识别方法  

Identification Method of Single-Degree-of-Freedom Hydrodynamic Parameters of Offshore Platform Based on Neural Network

作　　者：谭超文 汪学锋[1] 卢文月 尉志源 TAN Chaowen;WANG Xuefeng;LU Wenyue;WEI Zhiyuan(School of Naval Architecture,Ocean&Civil Engineering,Shanghai Jiao Tong University,Shanghai 200240;Marine Design and Research Institute of China,Shanghai 200011,China)

机构地区：[1]上海交通大学船舶海洋与建筑工程学院,上海200240 [2]中国船舶及海洋工程设计研究院,上海200011

出　　处：《中国海洋平台》2025年第2期9-16,22,共9页China offshore Platform

基　　金：国家自然科学基金面上项目(编号:42376183)。

摘　　要：针对海洋平台水动力参数识别与分析问题,结合平台运动数据建立基于物理机理神经网络的平台运动数学模型,以反演水动力参数。结果表明,神经网络方法准确拟合并反演一维数值结果。试验结果表明,所得附加质量参数准确,并得到不同频率下一阶非势流阻尼成分数值,为水动力参数的识别与分析提供一种新的方法。Aimed at the identification and analysis of hydrodynamic parameters of offshore platform,a platform motion model based on physical mechanism neural network is established by combining the platform motion data,and the hydrodynamic parameters are inversed.The results show that the neural network method can accurately fit and invert the numerical results.The test results show that the added mass parameters obtained are accurate,and the values of first-order nonpotential flow damping components at different frequencies are obtained,which provides a new method for identification and analysis of hydrodynamic parameters.

关 键 词：海洋平台 水动力参数 神经网络 参数反演 

分 类 号：U661[交通运输工程—船舶及航道工程]