FLow Induced NOise and Vibration Issues and Aspects
21-23 Oct 2026 Napoli (Italy)

Keynote

Prediction of Vibroacoustic Responses of Structures Excited

by Turbulent Boundary Layer Flows 

 

Dr Mahmoud Karimi 

Karimi

Turbulent boundary layer (TBL) excitation is one of the most complex and practically important sources of structural vibration and noise in engineering systems, including aircraft fuselage, automotive structures and marine vessels. Accurate prediction of the vibroacoustic response of such structures under TBL excitation using numerical modelling tools is essential during the design stage for assessing performance, structural integrity and acoustic comfort. These models also allow optimisation and design refinement without the need for extensive and costly experimental testing. Despite decades of research, modelling such systems remains challenging due to the inherent complexity of turbulent flow and the geometric complexity of real engineering structures. This talk provides an overview of current prediction approaches for vibroacoustic response under TBL excitation, ranging from established analytical and numerical methods for flat plates and cylindrical shells to hybrid methods for complex structural systems. Key limitations of existing models will be discussed, along with directions for future research.

 

Dr Mahmoud Karimi is a Senior Lecturer and former ARC DECRA Fellow at the University of Technology Sydney (UTS), where he leads the Vibroacoustics Research Group within the Centre for Audio, Acoustics and Vibration (CAAV). His research focuses on vibroacoustic modelling of structures, flow-induced noise and vibration and passive noise and vibration control. He received his PhD in Mechanical Engineering from the University of New South Wales (UNSW) and has held visiting research positions at leading international institutions, including the University of Cambridge, the Technical University of Munich (TUM) and INSA Lyon. He is the Editor-in-Chief of Acoustics Australia and Associate Editor of Mechanical Systems and Signal Processing.

 

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