航空学报2025，Vol.46Issue(19)：85-95,11.DOI:10.7527/S1000-6893.2025.32375
飞机结构数字孪生的关键一环:多参数飞行实测
A key component in digital twin of aircraft structures:Multi-dimensional flight parameter measurements
卓然 1闫楚良2
作者信息
- 1. 南京航空航天大学 航空学院,南京 210016
- 2. 北京航空航天大学 航空科学与工程学院,北京 100191
- 折叠
摘要
Abstract
With the increasing complexity of aviation equipment and the transformation of maintenance modes,struc-tural digital twin technology has become a key enabler for structural health management and predictive maintenance.Addressing common challenges in digital twin modeling-such as modeling assumption deviations,input uncertainty,and model response mismatch-this study proposes a residual-driven model optimization mechanism based on multi-parameter flight measurements.A dynamic closed-loop framework of"measurement-calibration-residual feedback-model correction"is established,with a rigorous theoretical proof of the residual feedback mechanism's convergence and a quantitative analysis of error upper bounds.Furthermore,a multi-dimensional,quantifiable evaluation index sys-tem for model self-evolution is developed.Engineering verification,using the tail of a certain aircraft as an example,demonstrates that the proposed method effectively reduces model prediction errors under complex operating conditions and improves the accuracy and robustness of fatigue life prediction.The research outcomes provide theoretical sup-port and methodological foundations for the engineering application and intelligent development of structural health management in aircraft.关键词
数字孪生/多参数飞行实测/模型校准/残差反馈/结构健康监测Key words
digital twin/multi-dimensional flight parameter measurement/model calibration/residual feedback/structural health monitoring分类
航空航天引用本文复制引用
卓然,闫楚良..飞机结构数字孪生的关键一环:多参数飞行实测[J].航空学报,2025,46(19):85-95,11.
