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研究生: 陳宗仁
Chen, Tsung-Jen
論文名稱: 複材機翼結構之抗發散最佳化設計
Optimization for the Aeroelastic Divergence of Composite Wing Structures
指導教授: 胡潛濱
Hwu, Chyanbin
學位類別: 碩士
Master
系所名稱: 工學院 - 航空太空工程學系
Department of Aeronautics & Astronautics
論文出版年: 2002
畢業學年度: 90
語文別: 中文
論文頁數: 92
中文關鍵詞: 抗發散最佳化設計
外文關鍵詞: performance to against divergence
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  • 飛具在次音速狀態下飛行,若機翼使用高展弦比及前掠翼設計,會較一般飛具擁有更佳的氣動性能及操控性能,但是此設計之機翼常會產生結構發散現象,因此本文定義發散飛行速度越大其抵抗發散能力越強,進行最佳搜尋,尋求抵抗發散能力較強的設計。
    本文所採用之複材機翼氣彈數學模式為Hwu and Tsai(2002)依複材夾心平板理論模式所推導建立,然後本文以類神經網路法模擬、替代其發散速度(或動壓)的演算,再進行最佳化的搜尋。
    文中將對各因素進行探討,包括複材纖維方向、機翼展弦比及前掠角,以了解這些因素對機翼抵抗發散能力的影響,將有助於機翼設計時之參考。

    In subsonic speed, the aircrafts with high aspect ratio wing and forward swept wing may have superior aerodynamic performance and agile control, but it exists divergence problem. We define the higher divergence speed as the better performance to against divergence, and then find the optimum design to avoid divergence problem.
    In this study, we use the aeroelastic model (Hwu and Tsai, 2002) of composite wing established by employing the theory of composite sandwich plates. Then, neural network technique was used to simulate the calculation to get divergence speed (or divergence dynamic pressure). After simulating, we can perform the optimal searching by using the trained neural network to get the objective function values.
    Several interesting parameters was discussed in the present work, including fiber orientation, aspect ratio and swept angle. Through this study, we can understand the relation between the above parameters and divergence speed, which would be useful in wing design.

    目錄………………………………………………………………... i 表目錄……………………………………………………………... iii 圖目錄……………………………………………………………... iv 符號說明…………………………………………………………... v 第一章 緒論……..……………………………………………. 1 1.1 前言…………..………………………………………. 1 第二章 複材機翼結構之發散公式…….……………………. 5 2.1 複材機翼結構發散之理論模式介紹……………….. 5 2.2 複材機翼翼形的模擬………..………………………. 7 第三章 最佳化設計……………..……………………………... 9 3.1 數學模式定義………………………………………… 9 3.1.1目標函數值的計算……………………………… 10 3.1.2設計變數的選…………………………………… 10 3.2 最佳化搜尋法…..……………………………………... 13 3.3 類神經網路的使用…………………………………… 14 第四章 類神經網路法…..………………….………………… 15 4.1 類神經網路簡介…………………….………………… 15 4.2 倒傳遞類神經網路……………………………………. 17 4.3 本文所使用類神經網路架構介紹……………………. 18 4.3.1 數值正規化……………………………………... 18 4.3.2類神經網路參數選取…………………………… 19 4.3.3 類神經網路應用於最佳化問題………………... 20 第五章 設計結果與討論………………………………………. 22 5.1 纖維排向………………………………………………. 22 5.1.1單纖維排向角…………………………………… 23 5.1.2雙纖維排向角…………………………………… 24 5.1.3對稱疊層三纖維排向角………………………… 25 5.2 廣泛的搜尋.…..………………………………………. 26 5.3 層與層間的排向角互相影響情形……………………. 28 5.4 後掠角…………………………………………………. 29 5.4.1複合材料蒙皮機翼……………………………… 30 5.4.2等向性材料蒙皮機翼…………………………… 31 第六章 結論與建議……………………………………………. 33 6.1 結論……………………………………………………. 33 6.2 建議……………………………………………………. 34 參考文獻……………………………………………………………… 35 附表…………………………………………………………………… 37 附圖…………………………………………………………………… 72 自述 著作權聲明

    參考文獻

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