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基于遺傳算法軸對稱梯度功能材料優化設計

Optimization of Axial Symmetrical FGM Using the Genetic Algorithm

  • 摘要: 基于計算數學理論與熱彈性原理,針對環狀截面梯度功能材料(FGM)提出了熱應力分布公式.以沿坐標軸的最大熱應力達到最小為目標,建立了軸對稱FGM多目標優化模型.應用遺傳算法實現了優化設計,獲得了穩態溫度場下環狀截面FGM的最佳材料分布參數.

     

    Abstract: The distribution of thermal stresses for an empty cylinder of Functionally Graded Materials (FGM) with axial symmetry is obtained, and the Genetic Algorithm (GA) is applied to the optimization problem of material composition for an empty cylinder of FGM with axial symmetry. Based on the thermal elasticity theory and computational method, the numerical calculations are made using a genetic algorithm. The minimum thermal stresses and optimum combination are obtained for an empty cylinder of FGM.

     

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