Literature DB >> 19062837

Numerical design of Alberich anechoic coatings with superellipsoidal cavities of mixed sizes.

Sven M Ivansson1.   

Abstract

Thin rubber coatings with cavities in a doubly periodic lattice are able to reduce reflections of underwater sound by redistributing normally incident energy such that absorption in the surrounding rubber is enhanced. For spherical scatterers, the anechoic effect can be studied numerically by the layer-multiple-scattering (LMS) method. In comparison to more flexible but also more computer intensive methods, such as finite-element method modeling, there are two important advantages. An improved physical understanding of the anechoic effect can be achieved by simplified semianalytical analysis, and the high computational speed allows modern global optimization techniques to be applied for coating design. In this paper, the flexibility of the LMS method is improved by combination with an efficient algorithm for numerical computation of transition matrices for superellipsoidal scatterers. (A superellipsoid is a generalization of an ellipsoid, allowing more box-filling shapes, for example.) Extensions to mixtures of nonspherical scatterers of different types are also considered, in order to enhance the broadband performance. Symmetry properties are used to reduce the size of the pertinent equation systems. Examples of numerical coating design for underwater acoustic applications are presented, using differential evolution algorithms for the optimization.

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Year:  2008        PMID: 19062837     DOI: 10.1121/1.2967840

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  2 in total

1.  Underwater metamaterial absorber with impedance-matched composite.

Authors:  Sichao Qu; Nan Gao; Alain Tinel; Bruno Morvan; Vicente Romero-García; Jean-Philippe Groby; Ping Sheng
Journal:  Sci Adv       Date:  2022-05-18       Impact factor: 14.957

Review 2.  Engineering Acoustic Metamaterials for Sound Absorption: From Uniform to Gradient Structures.

Authors:  Xiuhai Zhang; Zhiguo Qu; Hui Wang
Journal:  iScience       Date:  2020-04-28
  2 in total

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