Large-scale computational design and simulation of viscoelastic metastructures for vibration attenuation

Turlin, R, Hirschler, T, Calais, T, Seriket, H, Chevallier, G, Bodaghi, M ORCID: https://orcid.org/0000-0002-0707-944X and Demoly, F, 2026. Large-scale computational design and simulation of viscoelastic metastructures for vibration attenuation. International Journal of Mechanical Sciences, 316: 111469. ISSN 0020-7403

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Abstract

Low-frequency vibration generated by rotating machinery in submarines pose a persistent challenge for acoustic stealth, as they are readily detected by passive sonar and are poorly mitigated by conventional passive or active control technologies under variable operating conditions. This paper introduces a scalable computational framework that couples shape-grammar-driven generative design with finite element simulations to systematically explore viscoelastic metastructures for vibration attenuation. The generative design method is defined by six dimension-independent geometric parameters, enabling automated synthesis of a broad and non-intuitive design space beyond traditional unit-cell parameterizations. Vibration transmissibility of each metastructure is quantified through numerical simulations, which are validated against experimental measurements on representative specimens. The results reveal viscoelastic metastructures exhibiting pronounced and tunable low-frequency attenuation bandwidths, therefore providing enhanced attenuation compared to conventional designs. The resulting dataset establishes a structured mapping between geometry and dynamic response, offering new insight into geometry-driven vibration mitigation mechanisms. Beyond forward analysis, the proposed framework provides a scalable foundation for data-driven and inverse design of metastructures targeting robust low-frequency vibration attenuation.

Item Type:	Journal article
Publication Title:	International Journal of Mechanical Sciences
Creators:	Turlin, R., Hirschler, T., Calais, T., Seriket, H., Chevallier, G., Bodaghi, M. and Demoly, F.
Publisher:	Elsevier BV
Date:	15 April 2026
Volume:	316
ISSN:	0020-7403
Identifiers:	Number Type 10.1016/j.ijmecsci.2026.111469 DOI S0020740326003243 Publisher Item Identifier 2586541 Other
Rights:	© 2026 The Authors. Published by Elsevier Ltd. This is an open access article distributed under the terms of the Creative Commons CC-BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Divisions:	Schools > School of Science and Technology
Record created by:	Melissa Cornwell
Date Added:	16 Mar 2026 15:02
Last Modified:	16 Mar 2026 15:02
URI:	https://irep.ntu.ac.uk/id/eprint/55418

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