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提出了一种可实现任意形状的运动结构噪声源识别的声全息方法。通过结合移动框架技术与边界元声全息技术两种算法的特点,提出利用移动框架技术将存在多普勒效应的时域数据转换成边界元声全息所需的双平面全息数据,然后由边界元法声全息公式重构任意结构表面的声学信息,实现运动结构噪声源定位。该方法既具有移动框架技术处理运动问题的快速简便,又具有边界元方法可处理任意形状问题的特点。最后在半消声水池中,对运动速度为9.96 cm/s的带帽圆柱壳体进行了试验验证,结果表明:在低速条件下,该方法能够准确反演得到该结构的表面有功声强以及声压等声场信息,从而实现噪声源定位。由于条件有限,高速验证需进一步验证。
A holographic acoustic holography method is proposed to identify any shape noise source. By combining the characteristics of the two algorithms of moving frame and boundary element acoustic holography, a moving frame technique is proposed to convert the time-domain data with Doppler effect into the bi-planar holographic data needed by boundary element acoustic holography. Then, The method of acoustic acoustic holography reconstructs the acoustic information of the surface of any structure and realizes the localization of the noise source of the motion structure. This method not only has the advantages of fast and easy handling of motion problems by the moving frame technology, but also has the advantage of the boundary element method to deal with any shape problem. Finally, the semi-anechoic tank was tested with a capped cylindrical shell with a moving speed of 9.96 cm / s. The results show that the method can accurately invert the surface acoustic power of the structure and Sound pressure and other sound field information, in order to achieve noise source positioning. Due to limited conditions, high-speed verification needs further verification.