Experimental Verification of the Neural Network Optimization Algorithm for Identifying Frequency-Dependent Constitutive Parameters of Viscoelastic Materials-Reference-Cited by-同舟云学术

Experimental Verification of the Neural Network Optimization Algorithm for Identifying Frequency-Dependent Constitutive Parameters of Viscoelastic Materials

Published:2023-04-21 Issue: Volume: Page:
ISSN:2523-3920
Container-title:Journal of Vibration Engineering & Technologies
language:en
Short-container-title:J. Vib. Eng. Technol.

Author:

Prusty Jagesh Kumar^ORCID,Papazafeiropoulos George^ORCID,Mohanty Sukesh Chandra

Publisher

Springer Science and Business Media LLC

Subject

Microbiology (medical),Immunology,Immunology and Allergy

Link

https://link.springer.com/content/pdf/10.1007/s42417-023-00972-y.pdf

Reference41 articles.

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3. Rao MD (2003) Recent applications of viscoelastic damping for noise control in automobiles and commercial airplanes. J Sound Vib 262(3):457–474. https://doi.org/10.1016/S0022-460X(03)00106-8

4. Sperling LH (1990) Sound and vibration damping with polymers: basic viscoelastic definitions and concepts. ACS Publ 424:5–22. https://doi.org/10.1021/bk-1990-0424.ch001

5. Melo JD, Radford DW (2005) Time and temperature dependence of the viscoelastic properties of CFRP by dynamic mechanical analysis. Compos Struct 70(2):240–253. https://doi.org/10.1016/j.compstruct.2004.08.025

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