Study on the Finite Element Strain Simulation Model Updating Method Based on the Real Measurement Data

Abstract:

When using electrometric method to measure the static strain of a structure, the results are often accurate, but the number of measuring points is limited; when using the finite element method to model and analyze the practical structures, there often exist many assumptions of uncertain factors, so the accuracy of simulation results is poor, but the strain values of all the nodes in the grid of simulation structure are available, so the number of measuring points is large. In view of this situation, this paper applied Bayes-Kriging estimation method through the measurement strain data to update the strain on the surface of finite element strain simulation model. We applied the measurement strain data at different stages of the fatigue process to update finite element model. With the comparison of the strain data between before-and after-updating, we can find that at the boundary region and fatigue crack extending direction, the updating result is inaccurate, but the updating effect is good at other position. This method can improve the accuracy of these positions' strain value and make the strain value closer to the actual strain value.

• Periodical: Applied Mechanics and Materials (Volumes 444-445)
• Pages: 1132-1139
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.444-445.1132
• Online since: October 2013
• Authors: Li Feng Xiao, Ran Duan, Hui Tian
• Keywords: Bayes-Kriging Method, Finite Element Simulation Analysis, Static Strain Measurement

References

[1] Strain measurement technology on http: /wenku. baidu. com/view/96b1e7f09e314332396893c2. html.

[2] Aldo Minardo, Romeo Bernini, Lucio Amato, Bridge Monitoring Using Brillouin Fiber-Optic Sensors, J. Sensors Journal. 12 (2012) 145-150.

DOI: 10.1109/jsen.2011.2141985

[3] Juan Dai, Dahe Wang, Lei Chen, Sticking technique of strain gauge in electrometric stress-test, J. Journal of Hunan Institute of Engineering. 13 (2003) 55-57.

[4] Yuling Qin, Xianren Kong, Wenbo Luo, Finite element model updating based on statistics analysis, J. Spacecraft Environment Engineering. 28 (2011) 239-245.

DOI: 10.1109/isscaa.2010.5632259

[5] Jianping Mao, Research on Bridge Structure Static Finite Element Model Updating Based on Neural Net Work, D. Jilin University. (2011).

[6] Qinghui Xie, Zhongping Zhao, The application of Bayesian-Kriging estimation method in variable velocity mapping, Geophysical Prospecting for Petroleum. 51 (2012) 251-256.

[7] Meijuan Gao, Qingzhong Zhu, Shuhua Zhang, Reservoir Parameter Predietion using Bayes-Kriging estimation technique, J. Oil Geophysical Prospecting. 34 (1999) 390-397.

[8] Information on http: /www. imm. dtu. dk/~hbn/publ/TR0213. ps.

[9] ANSYS, Inc: ANSYS Parametric Design Language Guide (2009).

[10] Game studio, APDL parameterization finite element analysis technology and its applications, third ed., China Water Power Press, Beijing, (2004).