A structure-preserving machine learning framework for accurate prediction of structural dynamics for systems with isolated nonlinearities

Najera-Flores, David A.; Quinn, D. Dane; Garland, Anthony; Vlachas, Konstantinos; Chatzi, Eleni; Todd, Michael D.

doi:10.1016/j.ymssp.2024.111340

Title: A structure-preserving machine learning framework for accurate prediction of structural dynamics for systems with isolated nonlinearities

Journal Article · 01 May 2024 · Mechanical Systems and Signal Processing

DOI: https://doi.org/10.1016/j.ymssp.2024.111340 · OSTI ID:2324677

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Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: NA0003525

OSTI ID:: 2324677

Journal Information:: Mechanical Systems and Signal Processing, Journal Name: Mechanical Systems and Signal Processing Vol. 213 Journal Issue: C; ISSN 0888-3270

Publisher:: ElsevierCopyright Statement

Country of Publication:: United Kingdom

Language:: English

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