目的 针对现阶段机载外挂物疲劳载荷谱编制的技术难题,提出一种基于多学科耦合数值模拟的载荷谱高效编制方法。方法 基于任务剖面分析,通过解析飞机机动过载系数分布规律及阵风载荷分布规律,并结合外挂物挂机位置动态放大系数,构建挂机过载疲劳载荷谱与阵风载荷疲劳载荷谱,解决传统方法中严重依赖实测数据的核心难题。以某型机载外挂物为对象进行工程应用,通过本研究提出的方法编制某型机载外挂物的疲劳载荷谱。结果 使用本研究编制的疲劳载荷谱周期较传统实测法缩短95%以上。依据所编制的载荷谱进行了疲劳试验,试验结果表明了该载荷谱的有效性。结论 验证了本研究提出的编制方法的有效性和工程适用性,为外挂物疲劳寿命评估提供了无需实测数据的创新解决方案。
Abstract
The work aims to propose an efficient method based on multidisciplinary coupled numerical simulation to address the technical challenges in compiling fatigue load spectra for aircraft external store. Based on mission profile analysis, by analyzing the distribution patterns of aircraft maneuver overload coefficients and gust loads, combined with dynamic amplification factors for store mounting locations, the overload fatigue load spectrum and the gust load fatigue spectrum for mounted stores were constructed to solve the core problem of relying heavily on measured data in the traditional method. In this study, the fatigue load spectrum of a certain type of aircraft external store was compiled by the method proposed in this study. The results showed that the fatigue load spectrum period of this study was shortened by more than 95% compared with the traditional measurement method. Fatigue tests are carried out according to the prepared load spectrum, and the test results showed the effectiveness of the load spectrum. The effectiveness and engineering applicability of the compilation method proposed in this study are verified, and an innovative solution is provided for the fatigue life assessment of external store without actual data.
关键词
机载外挂物 /
疲劳载荷谱 /
任务剖面 /
机动过载 /
阵风载荷 /
疲劳试验
Key words
aircraft external store /
fatigue load spectrum /
mission profile /
maneuvering overload /
gust load /
fatigue test
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1] Department of Defense. Aircraft Structural Integrity Program (ASIP): MIL-STD-1530D[S]. Washington, DC: US DoD, 2016.
[2] NATO Research and Technology Organization. Fatigue Failures in External Store Systems: RTO-TR-069[S]. Brussels: NATO, 2018.
[3] JONES R, SMITH T, BROWN K.In-Flight Load Measurement Techniques for Combat Aircraft[J]. AIAA Journal, 2015, 53(8): 2043-2052.
[4] ZHANG H, WANG L.Optimal Strain Gauge Placement for Complex Structures[J]. Mechanical Systems and Signal Processing, 2020, 138: 106532.
[5] DOWLING N E.Metal Fatigue: Fundamentals and Case Studies[M]. Cambridge: Woodhead Publishing, 2012.
[6] USAF SEEK EAGLE Office. Sensor Limitations in External Store Load Measurement[M]. Wright-Patterson AFB: USAF, 2019.
[7] 张春蔚, 王仲燕. 飞机外挂物飞行载荷测量技术[J]. 飞行试验, 2000, 17(3): 8-12.
ZHANG C W, WANG Z Y.Aircraft External Store Flight Load Measurement Technology[J]. Flight Test, 2000, 17(3): 8-12.
[8] European Union Aviation Safety Agency. Certification Specifications for Military Aircraft: CS-M[S]. Cologne: EASA, 2021.
[9] Boeing Commercial Airplanes.Flight Test Cost Estimation Model: Document D6-92714[S]. Seattle: Boeing, 2020.
[10] 平安, 王德俊. 疲劳载荷谱编制智能方法[J]. 东北大学学报(自然科学版), 1997, 18(2): 138-141.
PING A, WANG D J.Intellectual Method for Constructing Fatigue Loading Spectrum[J]. Journal of Northeastern University (Natural Science), 1997, 18(2): 138-141.
[11] 毛磊, 秦叶, 唐超, 等. 飞机外挂物气动载荷预测方法: CN109858065A[P].2019-06-07.
MAO L, QIN Y, TANG C, et al. Aircraft External Store Aerodynamic Load Prediction Method: CN109858065A [S].2019-06-07.
[12] 王庆洲. 面向数字孪生的通航飞机结构疲劳载荷谱编制与使用方法研究[D]. 广汉: 中国民用航空飞行学院, 2022.
WANG Q Z.Research on Compiling and Using Method of Fatigue Load Spectrum of Navigable Aircraft Structure Oriented to Digital Twinning[D]. Guanghan: Civil Aviation Flight University of China, 2022.
[13] 中国人民解放军总装备部. 军用飞机结构强度规范: GJB 67.6A—2008[S]. 北京: 总装备部军标出版发行部, 2008.
General Armaments Department of the People's Liberation Army. Military Airplane Structural Strength Specification: GJB 67.6A—2008[S]. Beijing: Military Standard Publishing and Distribution Department of the General Armament Department, 2008.
[14] 李为吉. 飞机总体设计[M]. 西安: 西北工业大学出版社, 2005.
LI W J.Overall Design of Aircraft[M]. Xi'an: Northwestern Polytechnical University Press, 2005.
PDF(1294 KB)
