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Statistical Estimation of Two-Body Hydrodynamic Properties Using System Identification

机译:基于系统辨识的两体水动力特性的统计估计

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摘要

A basic understanding of the hydrodynamic response behavior of the two-body system isimportant for a wide variety of offshore operations. This is a complex problem andmodel tests can provide data that in turn can be used to retrieve key informationconcerning the response characteristics of such systems. The current study demonstratesthat the analysis of these data using a combination of statistical tools and systemidentification techniques can efficiently recover the main hydrodynamic parametersuseful in design.The computation of the statistical parameters, spectral densities and coherence functionsprovides an overview of the general response behavior of the system. The statisticalanalysis also guides the selection of the nonlinear terms that will be used in the reversemulti-input / single-output (R-MI/SO) system identification method in this study. Withappropriate linear and nonlinear terms included in the equation of motion, the R-MISOtechnique is able to estimate the main hydrodynamic parameters that characterize theoffshore system. In the past, the R-MISO method was primarily applied to single bodysystems, while in the current study a ship moored to a fixed barge was investigated. The formulation included frequency-dependant hydrodynamic parameters which wereevaluated from the experimental measurements. Several issues specific to this extensionwere addressed including the computation load, the interpretation of the results and thevalidation of the model. Only the most important cross-coupling terms were chosen tobe kept based on the estimation of their energy. It is shown that both the heading and theloading condition can influence system motion behavior and that the impact of the wavein the gap between the two vessels is important. The coherence was computed to verifygoodness-of-fit of the model, the results were overall satisfying.
机译:对两主体系统的水动力响应行为的基本了解对于各种海上作业都很重要。这是一个复杂的问题,模型测试可以提供数据,这些数据又可以用来检索与此类系统的响应特性有关的关键信息。当前的研究表明,结合使用统计工具和系统识别技术对这些数据进行分析可以有效地恢复设计中有用的主要水动力参数。统计参数,频谱密度和相干函数的计算为系统的总体响应行为提供了概述。统计分析还指导了非线性项的选择,该项将在本研究的反向多输入/单输出(R-MI / SO)系统识别方法中使用。通过在运动方程式中包含适当的线性和非线性项,R-MISO技术能够估算出表征海上系统的主要流体动力学参数。过去,R-MISO方法主要应用于单个车身系统,而在当前的研究中,对系泊在固定驳船上的船舶进行了研究。该配方包括随频率变化的流体动力学参数,这些参数是通过实验测量得出的。解决了此扩展所特有的几个问题,包括计算量,结果解释和模型验证。根据对它们的能量的估计,仅保留最重要的交叉耦合项。结果表明,航向和加载条件都可以影响系统的运动行为,并且波动对两艘船之间的间隙的影响很重要。计算相干性以验证模型的拟合优度,结果总体令人满意。

著录项

  • 作者

    Xie Chen;

  • 作者单位
  • 年度 2010
  • 总页数
  • 原文格式 PDF
  • 正文语种 en_US
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