美国空军机体数字孪生计划的回顾与启示  

Retrospect and Enlightenment of the AFRL Airframe Digital Twin Program

作　　者：李鹏[1] 潘凯[1] 刘小川[1] Li Peng;Pan Kai;Liu Xiaochuan(Aircraft Strength Research Institute,Xi’an 710065,China)

机构地区：[1]中国飞机强度研究所,陕西西安710065

出　　处：《航空科学技术》2020年第9期1-10,共10页Aeronautical Science & Technology

基　　金：国家留学基金(201905270003)。

摘　　要：为了实现基于条件的维护策略和更可靠的结构完整性评估,美国空军研究实验室(AFRL)推出了飞机机体数字孪生(ADT)计划,通过最新的概率分析方法来生成载荷谱,构建子模型,执行校准、传播和更新不确定性,预测机体疲劳损伤扩展,做出维护决策等。演示结果表明,随着时间的推移和状态的不断更新,数字孪生体可以越来越清楚地了解飞机状况,更加准确地预测疲劳裂纹扩展,减少机体的维护检查次数,从而降低整个机队的维护成本并增加飞机的可用性。数字孪生的未来应用还面临很多挑战,给出了一些仍亟待解决的关键技术和发展方向。In order to achieve condition-based maintenance strategies and more reliable structural integrity assessment, the Air Force Research Laboratory(AFRL) has launched the airframe digital twin(ADT) program, which used the latest probability analysis methods to generate load spectra, construct sub-models, perform calibration,propagate and update the uncertainty, predict the growth of the fatigue damage, and make maintenance decisions.The demonstration results showed that, as time going by and the status updating continuously, the airframe digital twin can understand the aircraft conditions more and more clearly by predicting fatigue crack growth more accurately and reducing the number of maintenance inspections significantly, which can reduce the maintenance cost of the entire fleet and increase aircraft availability.The future application of digital twin still faces many challenges that trigger some key technologies and development directions that still need to be resolved.

关 键 词：数字孪生 飞机维护 疲劳裂纹 概率方法 贝叶斯更新 

分 类 号：V215[航空宇航科学与技术—航空宇航推进理论与工程]