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功能梯度材料拓扑优化研究 被引量:3

Topology Optimization for Functionally Graded Materials
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摘要 改进了传统的双向渐进拓扑优化(BESO)方法,引入了新的增删单元准则,结合梯度单元法成功地对功能梯度材料进行了拓扑优化,对今后进一步的发展作了展望。 By using a new criteria of evolution, the traditional Bi-directional Evolutionary Structural Optimization (BESO) method is successfully applied to the topology optimization for FGM. Graded finite elements method are used in FEA in the process of optimization.
作者 陆丹 刘毅
出处 《科技导报》 CAS CSCD 2007年第7期38-40,共3页 Science & Technology Review
关键词 双向渐进优化 拓扑优化 梯度单元法 功能梯度材料 BESO topology optimization graded finite elements FGM
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共引文献124

同被引文献17

  • 1杨启志,郭宗和,马履中,尹小琴,王俊英.三平移全柔性微动机器人机构的位置运动分析[J].农业机械学报,2006,37(11):96-99. 被引量:8
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