航空学报2025，Vol.46Issue(24)：1-21,21.DOI:10.7527/S1000-6893.2025.32256
数字孪生驱动的飞机起降系统可靠域分析
Digital-twin-driven reliability domain analysis for aircraft landing gear systems
摘要
Abstract
Aimed at the failure issues of aircraft landing gear systems caused by complex operating conditions such as high and low temperatures,this study proposes a reliability domain analysis method based on digital twin technology to achieve global parameter optimization and dynamic determination of reliability domain.First,a five-level digital twin framework is established,with the functionalities of each layer elaborated.Second,leveraging the high efficiency,ro-bust balancing capability,and absence of control parameter requirements of the Coati Optimization Algorithm(COA),an optimized Support Vector Machine(SVM)is developed,and a COA-SVM digital twin model is constructed.This model establishes functional mappings for three performance indicators:system efficiency,stroke,and overload.Subsequently,a population-interaction-enhanced COA is proposed to address the optimization challenges arising from high-dimensional parameter spaces formed by multi-failure modes under extreme temperatures,thereby determining the reliability domain of aircraft landing gear systems in low-temperature environments.Finally,a landing gear drop test incorporating temperature effects is conducted for validation.The established digital twin model accurately reflects the physical system and reveals that the failure probability of aircraft landing gear systems increases under low-temperature conditions.The proposed digital-twin-driven reliability analysis provides novel strategies and technical pathways for the optimal design of aircraft landing gear systems.关键词
飞机起降系统/数字孪生/多失效模式/低温环境/灵敏度分析/可靠域Key words
aircraft landing gear systems/digital twin/multimodal failure/low-temperature environments/sensitiv-ity analysis/reliability domain分类
航空航天引用本文复制引用
ZHANG Yuqian,LI Yongge,LIU Xiaochuan,XU Yong..数字孪生驱动的飞机起降系统可靠域分析[J].航空学报,2025,46(24):1-21,21.基金项目
国家自然科学基金(52225211) （52225211）
航空科学基金(20230041053005) （20230041053005）
西北工业大学"1-0"重大工程科学问题项目(G2024KY0613) National Natural Science Foundation of China(52225211) （G2024KY0613）
Aeronautical Science Foundation of China(20230041053005) （20230041053005）
Northwestern Polytechnical University"1-0"Major Engineering Science Problem Project(G2024KY0613) （G2024KY0613）
