基于预测的精神声学分析,在强风条件下对多轮机噪声进行分析
Jeongwoo Ko1, Younghoon Kim2, Jaeheon Jeong2
1Daniel Guggenheim School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA.
The Journal of the Acoustical Society of America
|November 13, 2023
概括
本研究引入了一个框架,用于预测和分析多旋转器噪声,考虑飞行机动和风. 它揭示了旋转器转速变化如何影响噪音感知和烦.
科学领域:
- 声学和精神声学 声学和精神声学
- 航空航天工程 航空航天工程
- 计算流体动力学的流体动力学.
背景情况:
- 多旋翼飞机的噪音越来越令人担忧,尤其是在复杂的飞行过程中.
- 现有的噪音预测模型往往缺乏对动态条件的全面精神声学分析.
- 了解噪声调制对于评估环境影响和公众接受度至关重要.
研究的目的:
- 开发和验证一个数值框架,用于在复杂的机动中对多旋转机噪声进行感应.
- 评估飞越和起飞噪声在各种操作条件下的精神声学影响,包括强风.
- 研究单个转子转速调节对感知噪声特征的影响.
主要方法:
- 开发一个全面的数值框架,整合转子噪声预测 (音色和宽带),合成和精神声学分析.
- 在不同的飞行场景中使用单旋转机和四旋转机配置的模拟数据进行验证.
- 高分辨率时间频率分析以表征音调噪声调制,以及对交叉型和加型四旋翼机的精神声学分析.
主要成果:
- 该框架准确地预测了多旋转器噪声特征,包括由旋转器转速变化引起的频率和振幅调制.
- 强风条件和飞行控制策略显著影响声学特征和精神声学指标.
- 单个转子速度的变化直接与不同的物理和心理噪声方面相关.
结论:
- 开发的框架使得基于预测的心理声学分析能够准确地预测多轮机噪声.
- 运营环境,特别是强风和飞行控制,会产生显著的调制,影响噪音的烦.
- 合成的噪声信号和调制特征为多旋转机操作的精神声学影响提供了关键的见解.
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