基于船舶空气流场仿真的船舶测风偏差校正方法

A Bias Correction Method of Ship Wind Measurement Based on Airflow Field Simulation

船舶海面风观测易受船体和上层建筑造成的畸变气流影响,使测风数据存在偏差。针对船舶相对风测量偏差校正问题,采用CFD仿真方法研究船体周围钝体绕流气流场,量化桅杆左、右横桁实测相对风速、风向与舰桥上部参考测风点相对风速、风向偏差,利用最小二乘支持向量机分别对左、右舷测风偏差进行回归并建立校正模型。通过海上实船实验采集桅杆左、右横桁与舰桥上部测风点处的相对风测量数据,验证模型校正测风偏差的实际效果,结果表明CFD仿真建模方法能够有效降低实验船型56%的相对风速测量偏差。

Shipboard sea surface wind measurement is affected by the airflow distortion caused by ship hull and superstructure, which leads to measurement data bias. To address the bias correction problem for the relative wind measurement bias from shipborne anemometer, this paper adopts the CFD simulation method to study the airflow field around the ship hull and superstructure in order to quantitively analyze the wind-bias between the anemometers installed on both sides of the mast and the anemometer installed above the bridge for reference purposes. Then LSSVM is applied to establish the wind-bias correction model. To validate the correction effect of the proposed method, an experimental voyage was undertaken to collect wind measurements from corresponding measurement points. The results show that the CFD-based wind-bias correction model can effectively reduce 56% of the wind speed bias.