A Review on the HAWCTB Performance Enhancement Methods, Numerical Models and AI Concept Used for the Blade Composite Structure Assessment: Context of New Industry 5.0

WT is one of the most important and advancing technologies of sustainable energies due to their challenged energy resources that can be very profitable, principally for commercial scale production of electrical power. Composite materials stiffness and strength of the blade structure are essential of WT and should be accurately designed as they play a decisive role in inhancing the turbine performance and durability. Mechanical elasticity analysis and damage evolution of the blade structure are the main issues in studying the behavior of composite structures, instead of that the modal and random vibration analysis are also the main of interest of studying such as dynamic structures.In this paper, methods and approaches of composite materials enhancement of WT blades are reviewed, including some numerical methods used in this context. Hence, the recent research results of WT technologies with historical results achieved are explored. This numerical models are assessed the performance of WT and optimization procedures applied to blade conception. A good attention has been paid to know about the recent optimization strategies of WT blade proposed for the engineers and researchers. Besides, the industry 5.0 involves for using AI techniques to facilitate the exploitation of numerical data from the whole numerical studies of mechanical behavior of composite materials such as elasticity, plasticity, damage initiation and damage tolerance using a well-known commercial software solver.