Structural model updating of acceleration frequency response function based on Kriging method
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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.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.
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Key words:
- acceleration frequency response function /
- model updating /
- Kriging /
- parameter selection
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參考文獻
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