Jet Noise Predictions with Wall-Modeled Large-Eddy Simulations

Speaker: Gerrit-Daniel Stich, Science and Technology Corporation / NASA Ames Research Center
February 17, 2022

Presentation

Abstract

NASA’s Commercial Supersonic Technology (CST) project has formulated a technical challenge to design a quiet low boom supersonic aircraft that meets Federal Aviation Authority’s (FAA) noise regulations. Landing and takeoff noise (LTO) poses a high risk to the Commercial Supersonic Market. There is currently no certification noise rule for commercial supersonic aircraft. For this reason, technical committees need reliable noise predictions to assess environmental impacts against economic benefits. However, in order to agree on a future regulation, it is important that the community agrees on the quality of the underlying data first.

To address this problem, a campaign of wall-modeled large-eddy simulations (WMLES) has been performed with the Launch, Ascent, and Vehicle Aerodynamics (LAVA) computational fluid dynamics (CFD) software to predict jet noise for single-stream asymmetric round jets at several flow conditions. The simulations address the new Prediction Uncertainty Reduction (PUR) technical challenge within the context of NASA's CST project. The goal of PUR is to quantify and reduce uncertainties from scale-resolving simulations to assess noise characteristics of next generation quiet supersonic commercial jets during LTO conditions where the noise from the exhaust jet dominates. The work shows a cost reduction of an order of magnitude compared to an earlier study of this configuration due to algorithmic and software improvements and demonstrates that WMLES can be used as a cost-competitive approach for jet noise predictions.

This work has been funded by the NASA’s Commercial Supersonic Technology (CST) and Transformational Tools and Technologies (T³) projects.

Biography

Gerrit-Daniel Stich is a research scientist for the Science and Technology Corporation working in the Computational Aerosciences Branch of the NASA Advanced Supercomputing Division at NASA Ames Research Center. He has a degree in aeronautics and astronautics from the University of Stuttgart, Germany. After a research year at the Flow Physics and Aeroacoustics Laboratory at Stanford University, Stich joined the Launch Ascent and Vehicle Aerodynamics (LAVA) group in February 2016. Gerrit-Daniel Stich has worked on a wide range of NASA mission related applications and helped push the envelope of simulation technologies for unsteady scale-resolving simulations in support of multiple programs within NASA’s Aeronautics Research Mission Directorate (ARMD). He is one of the developers of LAVA which aims at solving challenging aerodynamics, aeroacoustics and aeroelastic problems with high-fidelity numerical tools. Gerrit-Daniel has supported the development and advancements of hybrid Reynolds-Averaged Navier-Stokes (RANS), hybrid RANS Large-Eddy Simulation (HRLES) models as well as the development of wall-modeled LES (WMLES) within the LAVA solver framework. He is also contributing as part of the team to predict lift at high angles of attack (Clmax) within certification by analysis efforts supported by NASA’s Transformational Tools and Technologies (T³) project. Gerrit-Daniel’s most recent efforts support NASA’s Commercial Supersonic Technology (CST) project with high fidelity scale-resolving simulation data for the prediction of jet noise from first principles.