Input-output analysis of Mach 0.9 jet noise

TL;DR

This paper applies input-output analysis to a Mach 0.9 turbulent jet, identifying coherent structures and wavepackets that influence far-field noise, validated by LES data, advancing understanding of jet noise mechanisms.

Contribution

It introduces a novel I/O analysis framework with TKE-based filtering and FWH integration to characterize jet noise and coherent structures at Mach 0.9.

Findings

Optimal input modes are wavepackets with asymmetric Gaussian envelopes.

Input modes capture acoustically relevant jet dynamics.

Few I/O modes suffice to predict far-field noise accurately.

Abstract

We examine amplifying behavior of small perturbations about Reynolds-averaged Navier-Stokes solutions (RANS) of a $M_j = 0.9$ subsonic turbulent jet using input-output (I/O) analysis. Singular value decomposition (SVD) of the resolvent of the linearized Navier-Stokes (LNS) equations forms an orthonormal set of I/O mode pairs, sorted in descending order by the magnitude of the corresponding singular values. In this study we design a filter to restrict input forcings to be active only in regions where turbulent kinetic energy (TKE) of jet turbulence is high. For an output domain, we directly implement the Ffowcs Williams-Hawkings (FWH) method within I/O analysis framework to measure far-field sound of observers distributed along an arc. In this way we find that the resulting TKE-weighted input modes captures coherent structures in the near-field of turbulent jets. Optimal input modes correspond to wavepackets represented by asymmetric pseudo-Gaussian envelope functions at a given forcing frequency. These wavepackets remain similar in shape over a range of frequencies for $St > 0.5$, and scale as $St^{-0.5}$. While the optimal mode is a wavepacket, sub-optimal modes represent decoherence of the optimal input mode. By projecting high-fidelity large eddy simulation (LES) data onto the basis of input modes, we find that input modes do indeed capture the acoustically relevant dynamics in the jet. The far-field acoustics predicted by the LES are recovered using only a few number of I/O modes.