A generalized machine learning framework to estimate fatigue life across materials with minimal data

A generalized machine learning framework to estimate fatigue life across materials with minimal data

In this research, a generalized machine learning (ML) framework is proposed to estimate the fatigue life of epoxy polymers and additively manufactured AlSi10Mg alloy materials, leveraging their failure surface void characteristics. An extreme gradient boosting algorithm-based ML framework encompassi...

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Bibliographic Details
Main Authors: Dharun Vadugappatty Srinivasan, Morteza Moradi, Panagiotis Komninos, Dimitrios Zarouchas, Anastasios P. Vassilopoulos
Format: Article
Language:English
Published: Elsevier 2024-10-01
Series:Materials & Design
Subjects:
Composites
Fatigue
Metal alloys
Machine learning
Void
Minimal data
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127524007305

Internet

http://www.sciencedirect.com/science/article/pii/S0264127524007305

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