結構加速度頻響函數模型修正的Kriging方法

王巨濤; 王春潔; 宋順廣

doi:10.13374/j.issn2095-9389.2017.07.015

結構加速度頻響函數模型修正的Kriging方法

doi: 10.13374/j.issn2095-9389.2017.07.015

1) 北京航空航天大學機械工程及自動化學院, 北京 100191
2) 北京航空航天大學虛擬現實技術與系統國家重點實驗室, 北京 100191
3) 北京軍立方機器人科技有限公司, 北京 100176

基金項目:

國家自然科學基金重點資助項目(51635002)

詳細信息

中圖分類號: V221⁺.92;TH113.1
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出版歷程
- 收稿日期: 2016-07-14

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

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

摘要

摘要: 為提高結構頻響函數模型修正效率,提出將Kriging模型引入優化過程,代替有限元模型進行迭代運算.基于頻響曲線對應頻率點處的響應值之差構造目標函數,并結合初選設計參數進行實驗設計.根據實驗設計結果進行各參數的靈敏度分析,進而篩選出模型修正的待修正參數,基于該參數及其響應構造Kriging模型,經檢驗有效的Kriging模型將參與模型修正過程.以GARTEUR飛機模型為算例,基于加速度頻響數據進行模型修正,修正后模型不僅能復現檢驗點處頻響曲線,還能成功預測結構局部修改后的頻響曲線,證明了Kriging方法應用于頻響函數模型修正的有效性.
- 加速度頻響函數 /
- 模型修正 /
- Kriging /
- 參數篩選
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

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參考文獻(6)

[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