航空学报2025，Vol.46Issue(19)：41-84,44.DOI:10.7527/S1000-6893.2025.32408
飞行器数字强度孪生中的不确定性技术
Uncertainty technologies in aircraft digital strength twins
摘要
Abstract
The rapid development of the aviation industry has introduced triple challenges-timeliness,precision,and intelligence-for next-generation aircraft's full lifecycle management(design,manufacturing,and operation/mainte-nance).As an enabling technology of the Fourth Industrial Revolution,digital twin has emerged as a core solution for aircraft structural health monitoring and performance prediction,leveraging its real-time interactivity,multi-source het-erogeneous data fusion,and high-fidelity modeling capabilities.However,multi-source uncertainties-including material property dispersion during aircraft development,manufacturing tolerances,and in-service structural accidental dam-age or complex load disturbances-pose significant challenges to the credibility of aircraft digital strength twins.This pa-per addresses multidimensional uncertainty issues across an aircraft's full lifecycle(design verification,production,op-eration,and maintenance)while incorporating key technical requirements such as high-precision load identification and high-confidence structural damage diagnosis.It proposes a conceptual framework and technical architecture for aircraft digital strength twins.To enable the engineering implementation of digital strength twin systems,we systemati-cally organize critical technologies including distributed sensor network construction,high-performance computing plat-form integration,multi-source data fusion,and dynamic model updating,which provide robust hardware/software foundations for engineering applications and efficient uncertainty resolution.Guided by core requirements for interac-tive real-time performance,model fidelity,and analytical refinement,this study takes uncertainty-driven digital strength twin entities as its research focus.It conducts in-depth analyses of uncertainty propagation mechanisms,key technical pathways,and future development directions across three core processes:load twin,structural damage state twin,and mechanical behavior/performance twin.关键词
数字强度孪生/不确定性/数字孪生系统/载荷孪生/结构损伤状态孪生/力学行为与性能孪生Key words
digital strength twin/uncertainty/digital twin system/load twin/structural damage state twin/me-chanical behavior and performance twin分类
航空航天引用本文复制引用
王逸飞,曹戈勇,曹阳,王晓军..飞行器数字强度孪生中的不确定性技术[J].航空学报,2025,46(19):41-84,44.基金项目
国家自然科学基金(12472193,12132001,52192632) National Natural Science Foundation of China(12472193,12132001,52192632) （12472193,12132001,52192632）
