Uncertainty quantification on elastic parameters of composite beams and its experimental verification

被引:1
作者
Wu S. [1 ,2 ]
Fan G. [1 ,2 ]
Li Y. [2 ,3 ]
Jiang D. [2 ,3 ]
Fei Q. [2 ]
机构
[1] School of Civil Engineering, Southeast University, Nanjing
[2] Institute of Aerospace Machinery and Dynamics, Southeast University, Nanjing
[3] School of Mechanical Engineering, Southeast University, Nanjing
来源
Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition) | 2018年 / 48卷 / 06期
关键词
Bayesian theory; Composite beam; Experimental verification; Small sample data; Uncertainty quantification;
D O I
10.3969/j.issn.1001-0505.2018.06.004
中图分类号
学科分类号
摘要
An uncertainty quantification method was proposed for the elastic modulus of heterogeneous composite beams based on limited experimental data samples, to quantitatively describe the dispersity of the macroscopic mechanical properties of composites. With the spectral decomposition model of the uncertain elastic modulus of beams, the uncertainty quantification was achieved by the Bayesian theory and the Monte Carlo simulation. Experimental tests were conducted on the composite beams from the same batch, the uncertainty quantification model was constructed by the samples of the elastic modulus of beams identified from the modal test data, and the measured dynamic response samples from vibration tests were adopted to verify the correctness of the quantification model. The method can construct an accurate quantification model for uncertain system parameters with a small sample of experimental data. It overcomes the drawback of traditional probabilistic models which require large sample data. The proposed method provides references for the uncertainty quantification analysis and reliability evaluation of composite structures. © 2018, Editorial Department of Journal of Southeast University. All right reserved.
引用
收藏
页码:1004 / 1012
页数:8
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