Bearing Response Prediction in Hydrothermal Aged Carbon Fiber Reinforced Epoxy Composite Joints Using Machine Learning Techniques

Bearing Response Prediction in Hydrothermal Aged Carbon Fiber Reinforced Epoxy Composite Joints Using Machine Learning Techniques

The work focuses on predicting the bearing response in hydrothermal-aged carbon fiber-reinforced epoxy composite (CFREC) joints through the utilization of machine learning techniques. CFREC are extensively employed in aerospace and other high-performance applications, and their long-term structural...

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Bibliographic Details
Main Authors: Mohit Kumar, Govind Vashishtha, Babita Dhiman, Sumika Chauhan
Format: Article
Language:English
Published: Semnan University 2025-08-01
Series:Mechanics of Advanced Composite Structures
Subjects:
carbon fiber
epoxy resin
machine learning
bearing response
support vector regression
Online Access:https://macs.semnan.ac.ir/article_8936_7040758119056bb44a15ac043fa994a4.pdf
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