本文選題：模型修正 + 響應(yīng)面方法��； 參考：《振動與沖擊》2016年22期

【摘要】：為提高葉柵擺動裝置模態(tài)分析與模態(tài)試驗的相關(guān)性,使用響應(yīng)面方法對有限元模型多個參數(shù)進行優(yōu)化,實現(xiàn)模型修正。首先使用有限元模型進行模態(tài)分析,提取整體模態(tài);其次,采用移動傳感器方法對大型裝配體進行整體模態(tài)試驗,通過模態(tài)判據(jù)準則檢驗?zāi)B(tài)試驗結(jié)果、模態(tài)參與因子確定主要整體模態(tài);再次,基于有限元模型誤差分析,確定對主要部件分別采用不同材料修正參數(shù),通過中心復(fù)合試驗設(shè)計確定樣本空間,使用多目標響應(yīng)面方法對樣本進行回歸分析,在回歸分析的響應(yīng)面內(nèi)對待修正參數(shù)進行非線性約束優(yōu)化,得到最優(yōu)解;最后,使用修正參數(shù)重新進行模態(tài)分析實現(xiàn)模型確認,并進行動力學(xué)計算,與實際測試結(jié)果對比。結(jié)果表明,修正后的模態(tài)分析與模態(tài)試驗結(jié)果相關(guān)性提高,前三階整體模態(tài)頻率誤差均值由9.71%減小至0.73%,振型相關(guān)性由0.74提升至0.89。
[Abstract]:In order to improve the correlation between modal analysis and modal test, response surface method is used to optimize several parameters of finite element model and to correct the model. First, the finite element model is used for modal analysis, and the whole modal is extracted. Secondly, the method of moving sensor is used to carry out the overall modal test on the large assembly, and the modal test results are verified by the modal criterion. Thirdly, based on the error analysis of finite element model, different materials are used to modify the parameters of the main components, and the sample space is determined by the central composite test design. Multiobjective response surface method is used for regression analysis of samples. Nonlinear constrained optimization of modified parameters is carried out in the response surface of regression analysis, and the optimal solution is obtained. Finally, modal analysis of modified parameters is used to realize model confirmation. The kinetic calculation was carried out, and the results were compared with the actual test results. The results show that the correlation between the modified modal analysis and the modal test results is improved. The mean value of the first three order overall modal frequency error is reduced from 9.71% to 0.73%, and the mode correlation is raised from 0.74 to 0.89.
【作者單位】： 中國空氣動力研究與發(fā)展中心;空氣動力學(xué)國家重點實驗室;
【基金】：軍內(nèi)科研計劃項目
【分類號】：TH113.1

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