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基于Kriging模型及近似降階技術的失諧葉盤振動響應預測與優化研究

批準號51505206 學科分類振動/噪聲測試、分析與控制 ( E050301 )
項目負責人張亮 負責人職稱副教授 依托單位遼寧工業大學
資助金額20.00
萬元
項目類別青年科學基金項目 研究期限2016 年 01 月 01 日 至
2018 年 12 月 31 日
中文主題詞失諧葉盤;振動優化;降階技術;kriging模型;智能優化算法
英文主題詞mistuned blades disk;vibration optimization;reduced-order technique;kriging model;intelligent optimization algorithm

摘要

中文摘要 航空發動機重大事故幾乎都與葉片振動的高周疲勞有關,失諧葉盤的耦合振動已成為誘發葉片產生高周疲勞的重要原因。為了降低葉片發生高周疲勞事故的風險,必須對發動機失諧葉盤系統的振動響應進行準確預測與抑制。本項目以某失諧葉盤系統縮比模型為研究對象,開展基于Kriging模型/近似降階技術的失諧葉盤系統振動響應預測與優化研究。研究內容:基于靜頻實驗的葉片失諧參數識別;基于固定界面預應力-自由界面CMS降階技術的失諧葉盤系統振動響應預測;基于Kriging模型/智能優化算法的失諧葉盤系統振動優化;基于NSMS振動測試的振動響應預測與優化精度驗證。關鍵問題:失諧葉盤系統振動響應的準確預測;基于縮比葉盤系統有限元模型的失諧葉片振動優化。創新點:提出基于固定界面預應力-自由界面CMS降階技術的失諧葉盤系統振動響應預測方法;提出基于Kriging模型與智能優化算法相結合的葉盤系統失諧葉片振動優化方法。
英文摘要 The major accidents of aero-engine are related to the high-cycle fatigue of blades vibration, and the coupled vibration of blades disk is an important reason for producing the high-cycle fatigue of blades. In order to reduce the risk of high-cycle fatigue accident of blades, it is necessary to accurately predict and control the vibration response of mistuned blades disk in aero-engine. Taking a scale model of mistuned blades disk as research object, the prediction and optimization of vibration response of mistuned blades disk are carried out based on Kriging model and approximate reduced-order technique. Research contents: Identification of mistuned parameters of blades by the static frequency test. Prediction of vibration response of mistuned blades disk based on prestressed fixed interface free interface component mode synthesis reduced-order technique. Optimization of vibration response of mistuned blades disk based on Kriging model and intelligent optimization algorithm. Verification of the prediction and optimization accuracy of vibration response by the vibration test of NSMS. Key issues: Accurate prediction of vibration response of mistuned blades disk. Vibration optimization of mistuned blades by the scale finite element model of blades disk. Innovation point: The prediction method of vibration response of mistuned blades disk is proposed based on prestressed fixed interface free interface component mode synthesis reduced-order technique. The vibration optimization method of mistuned blades of blades disk is presented based on the combination of Kriging model and intelligent optimization algorithm.
結題摘要

成果

序號 標題 類型 作者

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