Model-Form and Parameter Uncertainty Quantification in Structural Vibration Simulation Using Fractional Derivatives

被引:4
|
作者
Zhang, Baoqiang [1 ,2 ]
Guo, Qintao [3 ]
Wang, Yan [2 ]
Zhan, Ming [3 ]
机构
[1] Xiamen Univ, Sch Aerosp Engn, Xiamen 361005, Peoples R China
[2] Georgia Inst Technol, Woodruff Sch Mech Engn, Atlanta, GA 30332 USA
[3] Nanjing Univ Aeronaut & Astronaut, Coll Mech & Elect Engn, Nanjing 210016, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
MDOF SYSTEMS; IDENTIFICATION; VARIABILITY; SENSITIVITY; OSCILLATOR; SELECTION; BEHAVIOR;
D O I
10.1115/1.4042689
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Extensive research has been devoted to engineering analysis in the presence of only parameter uncertainty. However, in modeling process, model-form uncertainty arises inevitably due to the lack of information and knowledge, as well as assumptions and simplifications made in the models. It is undoubted that model-form uncertainty cannot be ignored. To better quantify model-form uncertainty in vibration systems with multiple degrees-of-freedom, in this paper, fractional derivatives as model-form hypetparameters are introduced. A new general model calibration approach is proposed to separate and reduce model-form and parameter uncertainty based on multiple fractional frequency response functions (FFRFs). The new calibration method is verified through a simulated system with two degrees-of-freedom. The studies demonstrate that the new model-form and parameter uncertainty quantification method is robust.
引用
收藏
页数:12
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