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Acoustics design sensitivity analysis for the noise optimization of landing gears

机译:用于起落架噪声优化的声学设计灵敏度分析

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This paper provides a new Acoustic Design Sensitivity (ADS) method for the minimization of noise on landing gear parts. The idea consists of direct differentiation of the closed-forms expressions of the acoustic pressure levels with respect to the landing gear design parameters. The outlines of the method are presented herein by considering semi-empirical formulations proposed for the acoustic pressure level but can be straightforwardly applied to other acoustics weak integral formulations or analogies. Indeed, the estimates of the noise level derivatives allow assessment of the most acoustically sensitive design parameters. Numerical implementation of the ADS method has been performed using SCILAB open code and validated by comparing with the derivatives calculated using Finite Difference Methods (FDM). Then, the sensitivity estimates have been used to minimize different (SPL and OASPL) noise objectives for a generic landing gear. The numerical examples clearly demonstrated the ability of the (ADS) method to accurately identify the appropriate design parameters that will control the bulk of the noise sensitivity. In addition, the optimum solution of the noise minimization problems is exclusively dependent on these design parameters. (C) 2019 Elsevier Ltd. All rights reserved.
机译:本文提供了一种新的声学设计灵敏度(ADS)方法,可将起落架部件上的噪声降至最低。该思想包括相对于起落架设计参数直接区分声压级的封闭形式。通过考虑针对声压级提出的半经验公式来介绍该方法的概述,但可以直接应用于其他声学弱积分公式或类比。实际上,噪声水平导数的估计值允许评估最声学敏感的设计参数。 ADS方法的数值实现已使用SCILAB开放代码执行,并通过与使用有限差分法(FDM)计算的导数进行比较进行了验证。然后,灵敏度估算已用于最小化通用起落架的不同(SPL和OASPL)噪声目标。数值示例清楚地表明了(ADS)方法能够准确识别将控制大部分噪声灵敏度的适当设计参数。此外,噪声最小化问题的最佳解决方案完全取决于这些设计参数。 (C)2019 Elsevier Ltd.保留所有权利。

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