High-fidelity simulations for new models that reduce noise pollution

Grant number: DP180100898 | Funding period: 2018 - 2021

Completed

Abstract

This project aims to develop a method for accurate and affordable prediction and mitigation of flow-induced noise. The innovative approach, based on recent developments in simulation and data-driven modelling, expects to reduce environmental noise pollution, improve public health and ease the impact of urbanisation. To date methodological limitations have hampered our ability to predict noise reliably and hence control it. This project, exploiting proven high-fidelity simulation and machine-learning techniques to overcome limitations to produce the scientific knowledge required for practical noise mitigation. Benefits include quieter aerospace, marine and renewable energy technologies, creat..

View full description

Related publications (7)

Scholarly works icon

Surface pressure spectrum variation with Mach number on a CD airfoil

Shubham Shubham, Richard D Sandberg, Stephane Moreau, Hao Wu

2022-02-14

The surface pressure spectrum characteristics are studied on a Controlled Diffusion airfoil at varying Mach numbers and a fixed Re..

Scholarly works icon

Stability characteristics of different aerofoil flows at Re-c=150, 000 and the implications for aerofoil self-noise

Hao Wu, Richard D Sandberg, Stephane Moreau

2021-05-11

Three compressible-flow direct numerical simulations (DNS) of aerofoils were conducted at a chord based Reynolds number of Rec=150..

Scholarly works icon

Computational study of the effect of structural compliance on the noise radiated from an elastic trailing-edge

M Nardini, RD Sandberg, SC Schlanderer

2020-10-27

The effect of the structural compliance of an elastic trailing-edge (TE) on its aeroacoustic response is investigated by means of ..

Scholarly works icon

Different noise generation mechanisms of a controlled diffusion aerofoil and their dependence on Mach number

Mathieu Deuse, Richard D Sandberg

2020-06-23

The self-noise of an isolated controlled-diffusion aerofoil is investigated using direct noise computations. The high-order finite..

Scholarly works icon

Data-Driven RANS Closures for Trailing Edge Noise Predictions

Oscar L Wilsby, Richard D Sandberg

2019-05-20

The ability to conduct high fidelity numerical simulations of aerospace flows of practical interest is becoming a reality in acade..

Scholarly works icon

Parametric study of multiple aerofoil self-noise sources using direct noise computation

Mathieu Deuse, Richard D Sandberg

2019-05-20

Aerofoil noise is a central concern for a large range of applications, motivated both by economical and environmental interests. O..

Scholarly works icon

Resolvent analysis-based pressure modeling for trailing edge noise prediction

Georges A Wagner, Mathieu Deuse, Simon J Illingworth, Richard D Sandberg

2019-05-20

This paper presents the first development steps of a hybrid computational aeroacoustics (CAA) method for the prediction of trailin..

University of Melbourne Researchers