航空涡轮叶片可靠性分析研究现状及挑战OACHSSCD

Turbine blades are key components of aircraft engines.Over the years,substantial progress has been achieved in the reliability analysis of aircraft turbine blades.This paper reviews research published over the last 20 years on turbine blade reliability.It first summarizes commonly used performance indicators and then presents a detailed discussion of reliability analysis based on strength and fatigue life.Next,the paper introduces methods of reliability analysis suitable for aircraft turbine blades.These methods mainly include statistical approaches and artificial intelligence(AI)-based techniques.The strong potential and advantages of AI in reliability analysis are emphasized.By selecting appropriate surrogate models for different application scenarios,both prediction accuracy and computational efficiency can be significantly improved.Finally,the paper examines the current research status and the major challenges that remain.Based on this analysis,future research trends and perspectives on the reliability of aircraft engine turbine blades are outlined.