Consistent State Space Modelling of Hydrodynamic Memory

K. E. Kaasen
{"title":"Consistent State Space Modelling of Hydrodynamic Memory","authors":"K. E. Kaasen","doi":"10.1115/omae2020-19194","DOIUrl":null,"url":null,"abstract":"\n The conventional way to model hydrodynamic memory or radiation force is to use retardation functions. These functions are usually derived from frequency-dependent damping functions that are calculated by a diffraction-radiation code using potential theory. Calculating the retardation functions can be challenging due to lack of information at high frequency. In simulation of wave-driven vessel motion the retardation function is convolved with the velocity to give the wave radiation force, which is time-consuming. The paper describes how the memory effects can be modelled consistently by linear differential equations, such that coupled modes of motion share one set of poles.\n The coefficients of the differential equations are found by least squares fitting of a certain rational function to the numerical damping function. One advantage of this is that no assumption need to be made about the added mass at infinite frequency. Nor is any conditioning of the given data necessary.\n Using the fitted model in time-domain simulation is much quicker than using retardation functions. The method is applied to data representing the sway, roll and yaw motions of an FPSO of 238 m length. It was found that a sixth-order differential equation model fitted the given numeric radiation function well.\n It is shown how the high frequency asymptote for added mass can be estimated with high accuracy, which is valuable when it is not known in advance.","PeriodicalId":23502,"journal":{"name":"Volume 1: Offshore Technology","volume":"164 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Volume 1: Offshore Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/omae2020-19194","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

The conventional way to model hydrodynamic memory or radiation force is to use retardation functions. These functions are usually derived from frequency-dependent damping functions that are calculated by a diffraction-radiation code using potential theory. Calculating the retardation functions can be challenging due to lack of information at high frequency. In simulation of wave-driven vessel motion the retardation function is convolved with the velocity to give the wave radiation force, which is time-consuming. The paper describes how the memory effects can be modelled consistently by linear differential equations, such that coupled modes of motion share one set of poles. The coefficients of the differential equations are found by least squares fitting of a certain rational function to the numerical damping function. One advantage of this is that no assumption need to be made about the added mass at infinite frequency. Nor is any conditioning of the given data necessary. Using the fitted model in time-domain simulation is much quicker than using retardation functions. The method is applied to data representing the sway, roll and yaw motions of an FPSO of 238 m length. It was found that a sixth-order differential equation model fitted the given numeric radiation function well. It is shown how the high frequency asymptote for added mass can be estimated with high accuracy, which is valuable when it is not known in advance.
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流体动力记忆的一致状态空间建模
模拟水动力记忆或辐射力的传统方法是使用延迟函数。这些函数通常是从频率相关的阻尼函数推导出来的,这些阻尼函数是由衍射辐射代码使用势理论计算出来的。由于缺乏高频信息,计算延迟函数可能具有挑战性。在波浪驱动船舶运动模拟中,延迟函数与速度进行卷积得到波浪辐射力,耗时较长。本文描述了如何用线性微分方程一致地模拟记忆效应,使运动的耦合模式共享一组极点。微分方程的系数通过对数值阻尼函数的有理函数进行最小二乘拟合得到。这样做的一个优点是不需要对无限频率下增加的质量做任何假设。给定的数据也不需要任何条件。在时域仿真中使用拟合模型比使用延迟函数要快得多。该方法应用于一艘长度为238米的FPSO的摇摆、横摇和偏航运动数据。发现六阶微分方程模型能很好地拟合给定的数值辐射函数。说明了如何能高精度地估计出附加质量的高频渐近线,这在事先不知道的情况下是有价值的。
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