Optimised graded metamaterials for mechanical energy confinement and amplification via reinforcement learning-Reference-Cited by-同舟云学术

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Optimised graded metamaterials for mechanical energy confinement and amplification via reinforcement learning

Published:2023-05 Issue: Volume:99 Page:104947
ISSN:0997-7538
Container-title:European Journal of Mechanics - A/Solids
language:en
Short-container-title:European Journal of Mechanics - A/Solids

Author:

Rosafalco Luca^ORCID,De Ponti Jacopo Maria^ORCID,Iorio Luca^ORCID,Ardito Raffaele^ORCID,Corigliano Alberto^ORCID

Funder

European Commission

Horizon 2020 Framework Programme

Publisher

Elsevier BV

Subject

General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,General Materials Science

Reference65 articles.

1. Graded multifunctional piezoelectric metastructures for wideband vibration attenuation and energy harvesting;Alshaqaq;Smart Mater. Struct.,2020

2. Programmable rainbow trapping and band-gap enhancement via spatial group-velocity tailoring in elastic metamaterials;Alshaqaq;Phys. Rev. A,2022

3. Neuronlike adaptive elements that can solve difficult learning control problems;Barto;IEEE Trans. Syst. Man Cybern.,1983

4. Nonlinear Finite Elements for Continua and Structures;Belytschko,2000

5. Emergence of seismic metamaterials: Current state and future perspectives;Brûlé;Phys. Lett. A,2020

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