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| 1 | 基于光纤布拉格光栅的载荷定位与检测方法显示文摘针对传统定位系统存在的结构复杂、实时性低、需要建立训练集等问题,提出利用光纤Bragg光栅结合直角应变花结构的方法对冲击源进行定位。在平面应变下,建立横向效应补偿因子模型和应变解耦模型,证明了光纤布拉格光栅(Fiber Bragg grating,FBG)直角应变花结构用于定位时不受横向效应的影响。同时针对四边简支薄板结构,提出一种判定冲击载荷大小的新方法。通过不同位置两组FBG应变花分别测得的主应变方向,其交点来确定冲击源坐标;通过FBG传感器测得的轴向应变经横向效应补偿,并结合四边简支板扰度曲线和定位坐标,来对冲击载荷大小进行测量。试验表明其定位精度达到2.9 cm以内,定位实时性1 ms左右,冲击载荷大小判定误差在3 N以内。为冲击平台载荷检测提供了一种实用可行的方法。 | 陈勇 刘保林 刘焕淋 周立新 杨凯 | 2016 | 机械工程学报2016，52，18： | 14 |
| 2 | Aero-engine Blade Fatigue Analysis Based on Nonlinear Continuum Damage Model Using Neural Networks显示文摘Fatigue life and reliability of aero-engine blade are always of important significance to flight safety.The establishment of damage model is one of the key factors in blade fatigue research.Conventional linear Miner's sum method is not suitable for aero-engine because of its low accuracy.A back propagation neutral network(BPNN) based on the combination of Levenberg-Marquardt(LM) and finite element method(FEM) is used to describe process of nonlinear damage accumulation behavior in material and predict fatigue life of the blade.Fatigue tests of standard specimen made from TC4 are carried out to obtain material fatigue parameters and S-N curve.A nonlinear continuum damage model(CDM),based on the BPNN with one hidden layer and ten neurons,is built to investigate the nonlinear damage accumulation behavior,in which the results from the tests are used as training set.Comparing with linear models and previous nonlinear models,BPNN has the lowest calculation error in full load range.It has significant accuracy when the load is below 500 MPa.Especially,when the load is 350 MPa,the calculation error of the BPNN is only 0.4%.The accurate model of the blade is built by using 3D coordinate measurement technology.The loading cycle in fatigue analysis is defined from takeoff to cruise in 10 min,and the load history is obtained from finite element analysis(FEA).Then the fatigue life of the compressor blade is predicted by using the BPNN model.The final fatigue life of the aero-engine blade is 6.55 104 cycles(10 916 h) based on the BPNN model,which is effective for the virtual design of aero-engine blade. | LIN Jiewei ZHANG Junhong ZHANG Guichang NI Guangjian BI Fengrong | 2012 | Chinese Journal of Mechanical Engineering2012，25，2： | 13 |
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