Title:	Multidisciplinary simulation of flows, acoustics, structures and coupled FSI using CFD, FEA and LBM
DNr:	NAISS 2026/3-219
Project Type:	NAISS Medium
Principal Investigator:	Huadong Yao <huadong.yao@chalmers.se>
Affiliation:	Chalmers tekniska högskola
Duration:	2026-04-01 – 2027-04-01
Classification:	20301 20302 20306
Homepage:	https://huadong.m2.chalmers.se/projects/
Keywords:

Abstract

This project will include four major branches. Branch 1 -- acoustics: In product development, a predictive numerical method for wind noise is needed. With a fundamental understanding of noise source generation, it will be possible to develop a set of design guidelines and virtual methods that can be used to evaluate, predict, and optimize the behavior of typical exterior shapes used on automobiles. The techniques will be beneficial in the product development process, to predict problems already before a product has been built and reduce physical testing. The goal is to develop a fast and robust approach for predicting the dominant noise sources in the exterior flow field. This project branch aims to establish a fundamental understanding of how noise sources are created by external turbulence around automobile bodies and how the noise sources depend on geometrical complexity and flow speeds. Branch 2 -- flow dynamics: The introduction of UHBR engines poses new challenges to optimal nacelle design, both in geometry and in location. We will provide the design envelope and safeguard thrust/drag performance. The project branch will utilize various fidelity level aerodynamic modeling tools to enhance the state of nacelle design, facilitating rapid iterations and the selection of nacelle geometries and locations. Wing/nacelle interference will be taken into account. This method will be validated by wind tunnel experiments with new and advanced wind tunnel models and measuring techniques. Branch 3 -- MDO (multidisciplinary design optimization): The MDO in fluid dynamics integrates aerodynamics, structures, and control to find optimal designs balancing performance and efficiency. It uses computational fluid dynamics (CFD) and optimization algorithms to explore trade-offs in complex engineering systems. MDO enables high-performance, nonlinear optimization for applications like aerospace and automotive design. Branch 4 -- Fluid-structure interaction of wingsails Two wingsail projects, GEMINI and SafeWinds, and one aircraft project, MultFAS, develop fluid-structure interaction (FSI) methods for numerical simulations and optimizations. Brach 5 -- Offshore renewable energy The project aims to significantly advance the mooring technologies for large-scale Floating Offshore Wind Farms (FOWFs), substantially lower the Levelized Cost of Energy (LCOE) of FOWTs. To achieve the overarching goals, the project will conduct simulation-based prototype demonstrations of the next game-changing mooring technologies, including shared mooring and extensive use of mooring lines made of polyester and polyamide. This endeavor will enhance the understanding of existing safety concerns and related design procedures. Additionally, the project will develop enhanced simulation tools and modeling techniques to support the demonstration and validation process. Last but not least, the project will provide the industry with open-source tools and validation data for use and verification.