Computational Aero-acoustic Analysis of Low-noise Airframe Devices with the Aid of Stochastic Method (CALAS)

The CALAS project addresses, by means of computational aero-acoustic (CAA) analysis, low-noise airframe concepts (CfP topic No: JTI-CS-2011-3-GRA-02-018), including a wing-section with and without a side-edge fence (in WP 1) and a landing-gear system with and without low-noise treatments (in WP 2). The main purpose of the project is to evaluate the baseline and other provided low-noise configurations and, additionally, to explore the stochastic method used in modelling noise generation for effective industry use. The Stochastic Noise Generation and Radiation (SNGR) method and improved variant will be used for flow-generated noise source modelling based on RANS solution and, consequently, to provide inputs in CAA analysis using BEM (Boundary Element Method) solver. The analysis will further use acoustic analogies in analysis of far-field noise levels. In order to make relevant assessment on the use of the SNGR method for noise-source modelling, not required in the CfP though, additional turbulence-resolving simulation is also planned for a selected configuration in hybridization with acoustic analogies. This will be taken as reference in evaluation of low-noise concepts and of the stochastic method used. In simulations using BEM or turbulence-resolving methods, the effect of liner is incorporated into physically relevant boundary conditions. The project work progress will be reflected by a number of step-by-step milestones. The analysis and results will be reported in Deliverables and in other GRA-approved reports.

Participants

Lars Davidson (contact)

Professor vid Chalmers, Mechanics and Maritime Sciences, Fluid Dynamics

Huadong Yao

Forskare vid Chalmers, Mechanics and Maritime Sciences, Fluid Dynamics

Collaborations

FOI

Stockholm, Sweden

Funding

European Commission (FP7)

Funding years 2012–2013

Related Areas of Advance and Infrastructure

Sustainable development

Driving Forces

Transport

Areas of Advance

More information

Latest update

2015-10-14