Now showing items 1-3 of 3

    • Machine learning in solid mechanics: Application to acoustic metamaterial design 

      Yago Llamas, Daniel; Sal Anglada, Gaston; Roca Cazorla, David; Cante Terán, Juan Carlos; Oliver Olivella, Xavier (John Wiley & sons, 2024-04-05)
      Article
      Open Access
      Machine learning (ML) and Deep learning (DL) are increasingly pivotal in the design of advanced metamaterials, seamlessly integrated with material or topology optimization. Their intrinsic capability to predict and ...
    • Optimal design of Multiresonant Layered Acoustic Metamaterials (MLAM) via a homogenization approach 

      Sal Anglada, Gaston; Yago Llamas, Daniel; Cante Terán, Juan Carlos; Oliver Olivella, Xavier; Roca Cazorla, David (Elsevier, 2023-10)
      Article
      Open Access
      Broadband sound attenuation at low frequency ranges (below 500 Hz) has been a challenge in the acoustics field which cannot be solved, via conventional materials, unless impractical amounts of mass are employed. Multiresonant ...
    • Sound transmission loss enhancement through triple-peak coupled resonances acoustic metamaterials 

      Sal Anglada, Gaston; Yago Llamas, Daniel; Cante Terán, Juan Carlos; Oliver Olivella, Xavier; Roca Cazorla, David (2024-03-15)
      Article
      Open Access
      Coupled resonances mechanisms combined with the notion of acoustic metamaterials offer exceptional sound insulation capabilities, even at the challenging low frequency ranges below 1000 Hz. In this context, the concept of ...