Benjamin Bugeat, Ugur Karban, Anurag Agarwal, Lutz Lesshafft, Peter Jordan
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引用次数: 0
摘要
摘要 我们对可压缩湍流射流进行了解析分析,其中响应模式的优化域位于声场中,不包括流体动力区域,以促进声学高效模式。我们研究了声学解析力的特性,并评估了其在射流噪声建模方面的潜力,重点是亚音速系统。与之前的研究一致,我们发现在响应模式中包含与马赫波辐射相关的超音速波。这与流体力学不稳定性占主导地位的标准解析模式不同。我们将解析模式与根据 LES 数据得出的 SPOD 模式进行了比较。与标准解析响应模式相比,声学解析响应模式通常能更好地与声学 SPOD 模式保持一致。对于最佳模式,声束角度接近于中等频率的 SPOD 模式。但是,领先模式和次优模式的奇异值之间没有明显的差别。此外,一些次优模式还包含与喷气噪声无关的结构。因此,尽管它包含了标准解析量方法所没有的基本声学特征,但仅靠声学解析量的 SVD 并不足以建立喷气噪声的低阶模型。但由于它确定了喷气噪声的主要机制,因此为寻找强迫模型提供了宝贵的指导(Karban 等人,载于《流体力学》965:18, 2023)。
We perform a resolvent analysis of a compressible turbulent jet, where the optimisation domain of the response modes is located in the acoustic field, excluding the hydrodynamic region, in order to promote acoustically efficient modes. We examine the properties of the acoustic resolvent and assess its potential for jet-noise modelling, focusing on the subsonic regime. Resolvent forcing modes, consistent with previous studies, are found to contain supersonic waves associated with Mach wave radiation in the response modes. This differs from the standard resolvent in which hydrodynamic instabilities dominate. We compare resolvent modes with SPOD modes educed from LES data. Acoustic resolvent response modes generally have better alignment with acoustic SPOD modes than standard resolvent response modes. For the optimal mode, the angle of the acoustic beam is close to that found in SPOD modes for moderate frequencies. However, there is no significant separation between the singular values of the leading and sub-optimal modes. Some suboptimal modes are furthermore shown to contain irrelevant structure for jet noise. Thus, even though it contains essential acoustic features absent from the standard resolvent approach, the SVD of the acoustic resolvent alone is insufficient to educe a low-rank model for jet noise. But because it identifies the prevailing mechanisms of jet noise, it provides valuable guidelines in the search of a forcing model (Karban et al. in J Fluid Mech 965:18, 2023).
期刊介绍:
Theoretical and Computational Fluid Dynamics provides a forum for the cross fertilization of ideas, tools and techniques across all disciplines in which fluid flow plays a role. The focus is on aspects of fluid dynamics where theory and computation are used to provide insights and data upon which solid physical understanding is revealed. We seek research papers, invited review articles, brief communications, letters and comments addressing flow phenomena of relevance to aeronautical, geophysical, environmental, material, mechanical and life sciences. Papers of a purely algorithmic, experimental or engineering application nature, and papers without significant new physical insights, are outside the scope of this journal. For computational work, authors are responsible for ensuring that any artifacts of discretization and/or implementation are sufficiently controlled such that the numerical results unambiguously support the conclusions drawn. Where appropriate, and to the extent possible, such papers should either include or reference supporting documentation in the form of verification and validation studies.