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首页> 外文会议>International Conference on Offshore Mechanics and Arctic Engineering, Jun 23-28, 2002, Oslo, Norway >SYSTEM IDENTIFICTION TECHNQUES FOR PREDICTION OF FLUID ACCELERATIONS UNDER IRREGULAR WAVES BASED ON FREE-SURFACE ELEVATION MEASUREMENTS
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SYSTEM IDENTIFICTION TECHNQUES FOR PREDICTION OF FLUID ACCELERATIONS UNDER IRREGULAR WAVES BASED ON FREE-SURFACE ELEVATION MEASUREMENTS

机译：基于自由表面高度测量的不规则波下流体加速度预测的系统识别技术

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摘要

A parametric model linking the free-surface elevations with the fluid acceleration field under an irregular wave is developed. In order to estimate the parameters of the model, system identification procedures are applied based on data recorded in a wave tank. The free-surface time series are taken as input data and the output data are components of the particle acceleration vector. The particle acceleration time series were obtained by taking the numerical derivative of the measured orbital velocity time series. A simple algorithm of numerical differentiation is proposed. This algorithm gives very accurate values of the particle acceleration and is quite straightforward as the derivative is computed directly in time domain. A linear time-invariant model with the static nonlinearities incorporated at the input side is assumed. This paper demonstrates the results of modelling the horizontal component of the particle acceleration in comparison with the time series calculated from wave kinematics data taken in a wave flume during an earlier experiment using Laser Doppler Velocimetry. The modelled particle acceleration time series compare well with those calculated from the observed velocity time series. This proves the effectiveness of the applied approach. The system identification techniques allow for preparing the model which constructs the wave kinematics (both velocities and accelerations) using the measured time series of only the free-surface elevation. This feature of the proposed approach may be very useful in maritime engineering and oceanogra- phy.
机译：建立了将自由表面高程与不规则波作用下的流体加速度场联系起来的参数模型。为了估计模型的参数，基于记录在波箱中的数据应用系统识别程序。自由表面时间序列被视为输入数据，输出数据是粒子加速度矢量的组成部分。粒子加速时间序列是通过获取测得的轨道速度时间序列的数值导数获得的。提出了一种简单的数值微分算法。该算法给出了非常精确的粒子加速度值，并且非常直接，因为可以在时域中直接计算导数。假定在输入侧包含静态非线性的线性时不变模型。与在较早的实验中使用激光多普勒测速仪从波浪槽中获取的波浪运动学数据计算出的时间序列相比，本文展示了对粒子加速度水平分量建模的结果。建模的粒子加速时间序列与从观察到的速度时间序列计算得到的结果很好地比较。这证明了该方法的有效性。系统识别技术允许仅使用测量的自由表面标高的时间序列来准备构造波浪运动学（速度和加速度）的模型。拟议方法的这一特性在海洋工程和海洋学中可能非常有用。

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