About the Workshop
The Jet Noise Prediction Workshop is organized to benchmark and advance high-fidelity CFD for jet noise predictions. Inspired by HLPW, DPW, and the High-Fidelity CFD Verification Workshop, it will provide:
- Common geometries and datasets
- Solver-to-solver comparisons
- Community best practices
Goals & Objectives
1. Assess the Current State-of-the-Art
🔹 Evaluate the numerical prediction capability (meshing, numerics, turbulence modeling, acoustic analogy, and HPC needs) of modern CFD solvers for subsonic and supersonic jet noise prediction.
🔹 Benchmark existing approaches against well-documented experimental datasets using standardized test cases.
2. Advance CFD-Based Jet Noise Prediction Methods
🔹 Identify critical physical modeling and numerical fidelity requirements for accurate aeroacoustic predictions.
🔹 Promote development and validation of novel numerical methods, including LES, hybrid RANS/LES, and wall-modeled LES approaches.
🔹 Encourage integration of advanced post-processing tools such as Ffowcs Williams–Hawkings (FWH), SPOD, and other noise projection techniques.
3. Establish Community Standards
🔹 Develop common research models and well-characterized experimental configurations as reference cases.
🔹 Create standardized output formats, evaluation metrics, and post-processing conventions to enable solver-to-solver comparisons.
4. Understand and Quantify Uncertainties
🔹 Investigate the role of input uncertainty (boundary conditions, inflow turbulence, etc.) and numerical uncertainty (mesh resolution, subgrid models, etc.) in acoustic predictions.
🔹 Encourage the use of verification and validation practices to improve robustness and reproducibility.
5. Facilitate Collaboration and Mutual Understanding
🔹 Provide an impartial, pre-competitive forum for collaboration among experts in CFD, acoustics, and experimental aeroacoustics.
🔹 Bridge the gap between solver developers and end-users by enabling direct comparison of tools and methodologies.
6. Enable Future Capability Growth
🔹 Identify pacing items in numerical modeling, experiment-simulation coupling, and workflow integration that hinder widespread adoption of high-fidelity jet noise prediction.
🔹 Support the long-term goal of enabling certification by analysis for aeroacoustic performance in propulsion systems.
Recent significant updates:
- July 11, 2025 – Initial draft created