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Extracting Stochastic Airwake Models from a Database for Engineering Analysis and Simulation

机译：从数据库中提取随机空中苏醒模型以进行工程分析和仿真

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摘要

A framework is presented for extracting interpretive models of airwake autocorrelation and autospectrum as well as cross. correlation and cross.spectrum from a database. These models have a simple analytical structure that aids routine simulation and application as a predictive tool. Airwake refers to turbulence shed from the ship superstructure, and the database, to a set of spectral (autospectral and cross.spectral) points of flow velocity data from experimental and computational fluid dynamics.based investigations. The framework is developed from first principles: It is based on perturbation theory; it addresses all three velocity components, and it is tested against a comprehensive database under different superstructure and wind.over.deck conditions. For each velocity component, the autocorrelation and cross.correlation are represented by separate perturbation series in which the first terms have a form of the von Karman longitudinal or lateral correlation function. These series are then transformed into equivalent perturbation series of autospectra and cross.spectra. The perturbation coefficients are evaluated by satisfying the algorithmic constraints and fitting a curve on a set of selected spectral data points in the low.frequency bandwidth (0 < /(Hz) < 1.6); the emphasis is on extracting spectral models for this bandwidth. Generally, no more than a second.order perturbation correction (a three.term perturbation series) is necessary, and the extracted models lend themselves well to construction of shaping filters driven by white noise. The framework's strengths and weaknesses are discussed as well.
机译：提出了提取空中自相关，自谱以及交叉的解释模型的框架。数据库中的相关性和交叉谱。这些模型具有简单的分析结构，有助于例行仿真和将其用作预测工具。空中苏醒是指从船舶上层建筑和数据库中散发出的湍流，它是基于实验和计算流体动力学研究得出的流速数据的一组光谱（自谱和互谱）点。该框架是从第一条原则发展而来的：它基于摄动理论；它解决了所有三个速度分量，并在不同的上层建筑和上覆甲板条件下针对一个综合数据库进行了测试。对于每个速度分量，自相关和互相关由单独的扰动级数表示，其中第一项具有von Karman纵向或横向相关函数的形式。然后将这些序列转换为自动谱和cross.spectra的等效摄动序列。通过满足算法约束条件并在低带宽（0

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  • 来源
    《Journal of the American Helicopter Society》 |2012年第2期|p.022004.1-022004.15|共15页
  • 作者

    Gopal H. Gaonkar; Ranjith Mohan;

  • 作者单位

    Department of Ocean and Mechanical Engineering Florida Atlantic University Boca Raton, FL;

    Department of Ocean and Mechanical Engineering Florida Atlantic University Boca Raton, FL;

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