M. Hayajneh

Functional Composites and Structures

Artificial neural network modeling for predicting mechanical properties of Mediterranean green composites

The growing demand for sustainable materials has positioned lignocellulosic fiber-reinforced polypropylene composites as promising alternatives to conventional composites. However, accurately predicting key mechanical properties, including Young’s modulus (YM), ultimate tensile strength (UTS), and Elongation at Break (...

Quadratic support vector machine learning for modeling and predicting the mechanical performance of sustainable biocomposite materials for structural applications

The properties of polypropylene (PP)-based natural fiber materials are influenced by complex nonlinear interactions between chemical composition and structural behavior. This makes the accurate prediction of their performance a challenging task for various industries including civil and structural applications. To addr...