International Journal of Science, Engineering and TechnologyAuthors: Research Scholar Rishabh Dev Singh, Associate Professor Dr. Banarsi Pandey
Abstract: The increasing demand for renewable energy has accelerated the development of large-scale wind turbine systems with improved aerodynamic efficiency, structural reliability and operational durability. Wind turbine blades are continuously subjected to complex aerodynamic loading, cyclic stresses, vibration and environmental conditions that significantly affect their structural integrity and fatigue performance. This study presents a two-way Fluid-Structure Interaction (FSI) analysis of composite wind turbine blades for improved fatigue resistance and structural durability. Advanced composite materials are used to design lightweight blade structures with enhanced stiffness and load-bearing capability, and two-way FSI simulations investigate the interaction between aerodynamic airflow and structural deformation under varying wind speed conditions. Structural analysis and fatigue simulations evaluate stress distribution, deformation characteristics, vibration response and fatigue life of the composite blade system. Twelve studies published between 2003 and 2021 are reviewed and organised into three themes covering blade design with aerodynamic optimisation, composite materials with structural analysis, and blade damage with monitoring and sustainability. The reviewed evidence is consolidated into comparative tables that map each study to its focus, method, principal finding and limitation, alongside an assessment of the coupling approaches the corpus employs and a summary of the load cases and failure drivers it addresses. Five research gaps are identified and mapped to corresponding research directions. The simulation results demonstrate that optimised composite blade configurations significantly improve aerodynamic stability, reduce stress concentration and enhance fatigue resistance relative to conventional designs, confirming that integrated two-way FSI analysis combined with advanced composite materials provides an effective computational approach for improving structural durability and long-term operational performance.
