Development of robust machine learning models for predicting flexural strengths of fiber-reinforced polymeric composites

Development of robust machine learning models for predicting flexural strengths of fiber-reinforced polymeric composites

Fiber-reinforced composites are widely used in engineering applications due to their excellent physical and chemical properties. However, evaluating their flexural properties using conventional experimental techniques is time-consuming, costly, and limited by material and fabrication variations. Thi...

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Bibliographic Details
Main Authors: Abdulhammed K. Hamzat, Umar T. Salman, Md Shafinur Murad, Ozkan Altay, Ersin Bahceci, Eylem Asmatulu, Mete Bakir, Ramazan Asmatulu
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Hybrid Advances
Subjects:
Machine learning
Fiber-reinforced polymer composites
Flexural strength
Ensembles methods
Online Access:http://www.sciencedirect.com/science/article/pii/S2773207X25000090
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