Multi-modal generative adversarial networks for synthesizing time-series structural impact responses-Reference-Cited by-同舟云学术

Multi-modal generative adversarial networks for synthesizing time-series structural impact responses

Published:2023-12 Issue: Volume:204 Page:110725
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Thompson Zhymir^ORCID,Downey Austin R.J.^ORCID,Bakos Jason D.^ORCID,Wei Jie,Dodson Jacob^ORCID

Funder

National Science Foundation

Air Force Office of Scientific Research

U.S. Air Force

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference25 articles.

1. Introduction to state estimation of high-rate system dynamics;Hong;Sensors,2018

2. High-rate structural health monitoring and prognostics: An overview;Dodson,2021

3. Variable input observer for nonstationary high-rate dynamic systems;Hong;Neural Comput. Appl.,2018

4. Millisecond model updating for structures experiencing unmodeled high-rate dynamic events;Downey;Mech. Syst. Signal Process.,2020

5. Full-scale field tests of concrete slabs subjected to blast loads;Schenker;Int. J. Impact Eng.,2008

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