飞机典型运行状态声源识别及其声功率估计

Identification of sound sources and estimation of their radiated sound power of aircraft in typical operating status

  • 摘要: 识别飞机典型运行状态下的主要声源并估计其声功率,对飞机低噪声设计与噪声污染评估具有重要意义。基于波束形成方法,发展了利用声阵列估算飞机外部气动声源声功率的算法和声贡献量分析方法,并设计了以“声–飞机–环境”参数综合测试为核心的飞行试验总体技术方案。针对某型歼击机地面开车和某大型运输类飞机低空飞行2种场景,分别采用非均匀线阵列和多臂螺旋声阵列,开展已知声源条件下的算法验证,以及飞机实际运行条件下的应用分析。结果表明,所提方法能准确识别200~2000 Hz频率范围内的主要声源,完成对发动机和机身声源辐射声功率的估算,并可进一步确定各声源对总声能量的贡献量。

     

    Abstract: Identifying the main sound sources under typical aircraft operating status and estimating their radiated sound power are of great significance for aircraft low-noise design and noise pollution assessment. In this study, a beamforming algorithm is employed to develop a method that utilizes a sound array to identify the external main airframe sound sources and estimate their radiated sound power levels during both aircraft ground operation and low-altitude flight. Additionally, a method for analyzing the contribution of these main sound sources is proposed. A flight test technical plan is then presented, which centers around the measurement of sound–aircraft–environment parameters. The proposed methods are validated through a series of sound tests conducted on a fighter plane and a large transport aircraft, utilizing a well-designed non-uniform linear acoustic array and a planar multi-arm spiral acoustic array. The results demonstrate the efficacy of the proposed methods in accurately identifying the main sound sources within the frequency range of 200–2000 Hz, as well as estimating the radiated sound power levels of the aircraft engine and airframe sound sources, thereby enabling the determination of their respective contributions to the overall sound power.

     

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