对于小转子噪声预测的布鲁克斯,波普和马科利尼自我噪声模型的非紧性纠正)
Bhaskar Mukherjee1, Nitya Singh1, Joel Sundar Rachaprolu1
1Department of Aerospace Engineering, Penn State University, 556 White Course Drive, University Park, Pennsylvania 16802, USA.
通过修改BPM模型以考虑非紧性,提高了对小型无人机系统 (sUAS) 噪音的准确预测. 这种改进大大减少了来自sUAS旋转器的宽带噪声的预测错误.
科学领域:
- 声学 声学 在声学方面
- 航空航天工程 航空航天工程
- 环境科学 环境科学
背景情况:
- 准确预测来自小型无人机系统 (sUAS) 的高频宽带噪声对于环境影响评估至关重要.
- 标准的布鲁克斯,波普和马科利尼 (BPM) 气形板自我噪声模型由于其声学紧性假设,对sUAS规模的转子有局限性.
研究的目的:
- 修改BPM模型以解决sUAS噪声预测中的非紧性效应.
- 为了提高悬浮无人机的宽带噪声预测的准确性.
主要方法:
- 纳入了BPM模型中使用Amiet的空声传输函数的替代定向函数和精确的数值表述.
- 应用了经过修改的BPM模型来预测不同高度悬浮的六合直升机的噪音.
- 将模型预测与来自地面麦克风网的户外声学测量进行了比较.
主要成果:
- 经过修改的BPM模型显著降低了A加权音压水平 (SPL) 预测误差的中位数,从8.7dBA降至1.0dBA在20英尺处,从2.7dBA降至1.8dBA在40英尺处.
- 与最初的BPM模型相比,实现了大幅改善的三分之一八度光谱一致性.
- 证明了非紧度校正对于准确预测尾端宽带噪声的重要性.
结论:
- 修改后的BPM模型有效地解释了非紧性,从而可以更准确地预测sUAS噪声.
- 这项研究强调了为可靠的UAS环境噪声评估需要纳入非紧性校正的必要性.
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