Structural Acoustics and Vibration

By R. Ohayon, C. Soize. Journal of the Acoustical Society of America, 2001

236 citations recorded by the source corpus.

This book is devoted to mechanical models, variational formulations and discretization for calculating linear vibrations in the frequency domain of complex structures with arbitrary shape, coupled or not with external and internal acoustic fluids at rest. Such coupled systems are encountered in the area of internal and external noise prediction, reduction and control problems. The excitations can arise from different mechanisms such as mechanical forces applied to the structure, internal acoustic sources, external acoustic sources and external incident acoustic plane waves. These excitations can be deterministic or random. We are interested not only in the low-frequency domain for which modal analysis is suitable, but also in the medium-frequency domain for which additional mechanical modeling and appropriate solving methods are necessary. The main objective of the book is to present appropriate theoretical formulations, constructed so as to be directly applicable for developing computer codes for the numerical simulation of complex systems.

Subfields: Automotive Engineering, Biomedical Engineering, Civil and Structural Engineering

View Paper: https://www.semanticscholar.org/paper/7f797744b308276606b6510427c59615fd7f4d9e

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Citations in the corpus

Random matrix theory for modeling uncertainties in computational mechanics (2005, methodology): “For instance, such an ensemble is useful for modeling uncertainties in the coupling operator between an elastic solid and an acoustic fluid for a structural-acoustic system [20].”
A nonparametric probabilistic approach for quantifying uncertainties in low‐dimensional and high‐dimensional nonlinear models (2017, methodology): “The construction proposed for ŒD corresponds to an adaptation of the representation presented in [71] (equation (45) of chapter VI).”
Construction of a probabilistic model for impedance matrices (2007, background): “This particular case is treated extensively in [21] and will not be considered further in this paper.”
Non-Gaussian positive-definite matrix-valued random fields for elliptic stochastic partial differential operators (2006, methodology): “tools have been intensively used in the context of physics and engineering [47, 71, 83], in particular for random vibration, for probabilistic theory and stochastic methods in structural dynamics and in structural acoustics, and for computational stochastic mechanics [31, 41, 45, 50, 59, 62, 63, 73]”
Random uncertainties model in dynamic substructuring using a nonparametric probabilistic model (2003, methodology): “…coordinates of the mode-superposition method associated with the structural modes corresponding to the lowest eigenfrequencies of structures (Argyris & Mlejnek 1991, Bathe & Wilson 1976, Cheung & Leung 1992, Clough & Penzien 1975, Géradin & Rixen 1994, Meirovitch 1980, Ohayon & Soize 1998).”
A comprehensive overview of a non-parametric probabilistic approach of model uncertainties for predictive models in structural dynamics (2005, methodology): “The parametric probabilistic approach can be used in low-frequency dynamics, in particular for random eigenvalue problems of large random systems [10,11], and also in medium-frequency dynamics [12,13].”