steffen marburg picProfessor Steffen Marburg obtained his PhD from the Technische Universität (TU) Dresden in Germany. From 2010 until 2015, he held the Chair for Engineering Dynamics at the Universität der Bundeswehr (University of the Federal Armed Forces) in Munich, Germany. In July 2015, he took over the Gerhard Zeidler endowed Chair for Vibroacoustics of Vehicles and Machines of the Technical University of Munich. His research interests include simulation and simulation methods of vibroacoustics, uncertainty quantification, experimental identification of parameters and parameter distributions, damage detection and other problems of vibroacoustics. Steffen Marburg is one of the chairs of the EAA technical committee for Computational Acoustics and associate editor of Acta Acustica united with Acustica, editor for the Journal of Computational Acoustics (JCA) and Acoustics Australia. He is author of nearly 90 peer reviewed journal papers and 7 book chapters. Furthermore, he is editor of a book on finite and boundary element methods and has worked as a guest editor for six special issues of JCA. Professor Marburg is a well–known expert in computational acoustics.

Surface Contribution Analysis Using Non–Negative Intensity

Steffen Marburg
Full Professor for Vibroacoustics of Vehicles and Machines Technical University of Munich Boltzmannstraße 15
D-85748 Garching, Munich
E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.


Steffen Marburg1, Daipei Liu2, Herwig Peters2, Nicole Kessissoglou2
1Vibroacoustics of Vehicles and Machines, Technical University of Munich, Germany
2School of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney, Australia

       Surface or panel contribution analysis based on numerical methods has a history of approximately three decades [1, 2]. Soon after the first publications, panel contribution analysis became a feature of commercial software tools [3]. For this, the nodal contributions from surface regions with respect to the sound pressure at a single point were summed up over a predefined panel for interior problems. For exterior problems, a similar procedure was executed for nodal intensities of predefined panels. In 2013, the authors proposed a new approach to surface contribution analysis by introducing a non–negative quantity [4] which was later on referred to as non–negative intensity [5]. Non–negative intensity showed similarities to supersonic intensity [6, 7], which is another approach to identify wave components of sound field propagating to the far field. Indeed, the authors could show that under certain conditions, both quantities are coinciding [8]. It is one advantage of the non–negative intensity that it detects acoustic short circuits and directly reveals the regions which are the actual source for sound radiation into the far field. Furthermore and other than acoustic intensity, it identifies surface regions which are important for the overall radiated sound power, even if this region is not moving at all. The concept of surface contribution analysis based on non–negative intensity has been extended to scattering problems [9]. For both, scattering and radiation, it is easily possible to determine non–negative surface contributions with respect to certain directivity patterns with scattering effects or radiation into predefined directions. Non–negative surface contributions can be determined in a similar way with respect to other energy quantities. This presentation will give a survey of the recent developments and the future potential of this approach.

[1] S.-I. Ishiyama, M. Imai, S.-I. Maruyama, H. Ido, N. Sugiura, and S. Suzuki. The application of Acoust/Boom – a noise level prediction and reduction code. SAE–paper 880910, pages 195–205,1988.
[2] S. Marburg. Developments in structural–acoustic optimization for passive noise control. Archives of Computational Methods in Engineering. State of the art reviews, 9(4):291–370, 2002.
[3] R. A. Adey, S. M. Niku, J. Baynham, and P. Burns. Predicting acoustic contributions and sensitivity application to vehicle structures. In C. A. Brebbia, editor, Computational Acoustics and its Environmental Applications, pp. 181–188. Computational Mechanics Publications, 1995.
[4] S. Marburg, E. Lösche, H. Peters, and N. J. Kessissoglou. Surface contributions to radiated sound power. Journal of the Acoustical Society of America, 133:3700–3705, 2013.
[5] E. G. Williams. Convolution formulations for non-negative intensity. Journal of the Acoustical Society of America, 134:1055–1066, 2013.
[6] E. G. Williams. Supersonic acoustic intensity. Journal of the Acoustical Society of America, 97:121–127, 1995.
[7] E. Fernandez-Grande, F. Jacobsen, and Q. Leclére. Direct formulation of the supersonic acoustic intensity in space domain. Journal of the Acoustical Society of America, 131:186–193, 2012.
[8] D. Liu, H. Peters, S. Marburg, and N. J. Kessissoglou. Supersonic intensity and non-negative intensity for prediction of radiated sound. Journal of the Acoustical Society of America, 139:2797–2806, 2016.
[9] D. Liu, H. Peters, S. Marburg, and N. J. Kessissoglou. Surface contributions to scattered sound power using non-negative intensity. Journal of the Acoustical Society of America, 140:1206–1217, 2016


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