Structural model updating of acceleration frequency response function based on Kriging method

WANG Ju-tao; WANG Chun-jie; SONG Shun-guang

doi:10.13374/j.issn2095-9389.2017.07.015

Volume 39 Issue 7

Jul. 2017

Turn off MathJax

Article Contents

Article Navigation > Chinese Journal of Engineering > 2017 > 39(7): 1087-1093

WANG Ju-tao, WANG Chun-jie, SONG Shun-guang. Structural model updating of acceleration frequency response function based on Kriging method[J]. Chinese Journal of Engineering, 2017, 39(7): 1087-1093. doi: 10.13374/j.issn2095-9389.2017.07.015

Citation:

WANG Ju-tao, WANG Chun-jie, SONG Shun-guang. Structural model updating of acceleration frequency response function based on Kriging method[J]. Chinese Journal of Engineering, 2017, 39(7): 1087-1093. doi: 10.13374/j.issn2095-9389.2017.07.015

Citation:

PDF( 435 KB)

Structural model updating of acceleration frequency response function based on Kriging method

doi: 10.13374/j.issn2095-9389.2017.07.015

1) School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China
2) State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China
3) Beijing Junlifang Robot Technology Co. Ltd., Beijing 100176, China

Received Date: 2016-07-14

Abstract

Abstract

To improve the efficiency of frequency response function (FRF) model updating, the Kriging model is introduced into its optimization procedure, thus replacing the finite element model for iteration. The objective function is established based on the error of FRF curve at each corresponding frequency point, and a design of experiment (DOE) of the primary design parameters is performed. The sensitivity of each design is then assessed based on DOE results, and the parameters involved in model updating are selected. The Kriging model is constructed based on these selected parameters, and after confirming its response it participates in the model updating process. The GARTEUR aircraft model is used as an example, and it is found that based on acceleration FRF data, the FRF curve reappears at the checking point after model updating. The FRF curve is also predicted successfully when the structure is changed locally, and therefore the effectiveness of the Kriging method applied to FRF model updating is demonstrated.
- acceleration frequency response function,
- model updating,
- Kriging,
- parameter selection

FullText(HTML)

References(6)

References

[5]	Hemez F M, Brown G W. Improving structural dynamics models by correlating simulated to measured frequency response functions//AIAA-98-1789, 39th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference and Exhibit. Long Beach, 1998:772
[6]	Esfandiari A, Sanayei M, Bakhtiari-Nejad F, et al. Finite element model updating using frequency response function of incomplete strain data. AIAA J, 2010, 48(7):1420
[12]	Sehgal S, Kumar H. Structural dynamic finite element model updating using Derringer's function:a novel technique. WSEAS Trans Appl Theor Mech, 2014, 9:11
[15]	Koch P N, Wujek B, Golovidov O, et al. Facilitating probabilistic multidisciplinary design optimization using Kriging approximation models//9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization. Atlanta, 2002
[16]	Link M, Friswell M. Working Group 1:generation of validated structural dynamic models-results of a benchmark study utilising the garteur SM-AG19 test-bed. Mech Syst Signal Process, 2003, 17(1):9
[17]	García-Palencia A J, Santini-Bell E. A two-step model updating algorithm for parameter identification of linear elastic damped structures. Comput-Aided Civil Infrastructure Eng, 2013, 28(7):509