南京工业大学学报（自然科学版）2026，Vol.48Issue(2)：168-177,10.DOI:10.3969/j.issn.1671-7627.2026.02.003
航空涡轮叶片可靠性分析研究现状及挑战
Research status and challenges in the reliability analysis of aircraft turbine blades
摘要
Abstract
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.关键词
涡轮叶片/可靠性分析/人工智能/代理模型/疲劳寿命Key words
turbine blades/reliability analysis/artificial intelligence/surrogate model/fatigue life分类
航空航天引用本文复制引用
卢志杰,张芝芳..航空涡轮叶片可靠性分析研究现状及挑战[J].南京工业大学学报（自然科学版）,2026,48(2):168-177,10.基金项目
高等学校学科创新引智计划(111计划,D21021) （111计划,D21021）
广州市科技计划项目(20212200004) （20212200004）
广州市教育局重点学科项目(202255464) （202255464）
