A Machine Learning-Based Surrogate Finite Element Model for Estimating Dynamic Response of Mechanical Systems

Author:

Hashemi Ali1,Jang Jinwoo1ORCID,Beheshti Javad2ORCID

Affiliation:

1. Department of Civil, Environmental and Geomatics Engineering, Florida Atlantic University, Boca Raton, FL, USA

2. IT and Computer Engineering Department, Islamic Azad University, Tafresh, Iran

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference98 articles.

1. A nonintrusive nonlinear model reduction method for structural dynamical problems based on machine learning

2. Practical machine learning-based prediction model for axial capacity of square CFST columns;le;Mechanics of Advanced Materials and Structures,2020

3. Machine learning assisted evaluations in structural design and construction

4. Structural dynamics simulation using a novel physics-guided machine learning method

5. Machine learning based stochastic dynamic analysis of functionally graded shells;mukhopadhyay;Compos Struct,2020

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