Advanced Computational Vibroacoustics Reduced-Order Models and Uncertainty Quantification

Advanced Computational Vibroacoustics presents an advanced computational method for the prediction of sound and structural vibrations, in low- and medium-frequency ranges - complex structural acoustics and fluid-structure interaction systems encountered in aerospace, automotive, railway, naval, and energy-production industries. The formulations are presented within a unified computational strategy and are adapted for the present and future generation of massively parallel computers. A reduced-order computational model is constructed using the finite element method for the damped structure and the dissipative internal acoustic fluid (gas or liquid with or without free surface) and using an appropriate symmetric boundary-element method for the external acoustic fluid (gas or liquid). This book allows direct access to computational methods that have been adapted for the future evolution of general commercial software. Written for the global market, it is an invaluable resource for academic researchers, graduate students, and practising engineers.

1. Principal objectives and a strategy for modeling vibroacoustic systems; 2. Definition of the vibroacoustic system; 3. External inviscid acoustic fluid equations; 4. Internal dissipative acoustic fluid equations; 5. Structure equations; 6. Vibroacoustic boundary-value problem; 7. Computational vibroacoustic model; 8. Reduced-order computational model; 9. Uncertainty quantification in computational vibroacoustics; 10. Symmetric BEM without spurious frequencies for the external acoustic fluid.

Roger Ohayon joined Conservatoire National des Arts et Métiers (CNAM/Structural Mechanics and Coupled Systems Research Laboratory) as Professor Chair of Mechanics, where he is now Emeritus Professor, after completing research at Office National d'Etudes et Recherches Aérospatiales (ONERA), the aerospace research laboratory in France. He is a Fellow of several associations, including AIAA, ASME, IACM, and he is the recipient of the Gay-Lussac Humboldt Research Award, the SPIE's lifetime achievement award, the ASMS/ASME/AIAA Award, the Prandtl Award from Eccomas, several IACM Awards, the EASD Senior Prize, and the French Academy of Sciences Award. His expertise is in mechanical and computational modeling of fluid-structure interaction problems, structural acoustics, and smart structural systems. He is on the editorial board of thirteen international journals, including the International Journal for Numerical Methods in Engineering, Computer Methods in Applied Mechanics and Engineering, and Computational Mechanics, and is the associate editor of the Journal of Intelligent Material Systems and Structures and the AIAA Journal. He is the co-editor of several books and the co-author of more than 100 publications in refereed international journals. He is the co-author of two books, Fluid-Structure Interaction (with H. J.-P. Morand, 1995) and Structural Acoustics and Vibration (with Christian Soize, 1998).
Christian Soize joined Université Paris-Est Marne-la-Vallée after completing research at Office National d'Etudes et Recherches Aérospatiales (ONERA). He is a Fellow of the Acoustical Society of America (ASA) and has received a number of awards and honors, including the Senior Research Prize from EASD, a research award from the International Association for Structural Safety and Reliability, and the Noury Prize from the French Academy of Sciences. He is the author or co-author of more than 170 papers in refereed international journals and of seven books, including Mathematics of Random Phenomena (with P. Krée, 1986), The Fokker-Planck Equation for Stochastic Dynamical Systems and its Explicit Steady State Solutions (1994), Structural Acoustics and Vibration (with R. Ohayon, 1998), and Stochastic Models of Uncertainties in Computational Mechanics (2012). He has pioneered a number of new approaches in stochastic modeling of complex systems, including fuzzy structure theory, the concept of an energy operator for dynamics in the medium-frequency range, and, more recently, the concept of a nonparametric probabilistic approach for model uncertainties in computational mechanics and vibroacoustics.