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汽车典型结构拓扑优化方法及应用研究

Method and Application Research on Topology Optimization of Automobile Typical Structures

【作者】 杜海珍

【导师】 荣见华;

【作者基本信息】 长沙理工大学 , 载运工具运用工程, 2004, 硕士

【摘要】 结构拓扑优化设计方法是近几年发展起来的新方法,并取得了瞩目的进展。本文针对汽车典型结构的优化设计问题,首先,研究和分析了国内外在结构渐进优化法方面的发展状况。 其次,为了解决在删除无效材料时可能导致的应力集中问题,基于围绕结构边界和孔洞周围附加人工材料单元的思路,提出了一种新的基于应力及其灵敏度的优化准则。并通过对应力灵敏度数的修改,避免了优化过程中棋盘格模式的产生。然后,结合基于人工材料的结构渐进优化(ESO)方法,构建了基于应变能的双方向结构渐进优化(BESO)方法的优化准则及算法。研究了考虑多约束的BESO方法。最后,导出了弯曲板结构的应力灵敏度数的计算公式,建立了双层单元的结构优化模型,开展了加筋结构的优化设计工作。 本文对上述方法进行了编程及大量汽车构件的仿真计算。结果表明了本文研究的方法是正确和有效的,可为汽车结构及零部件轻量化设计提供重要的设计方法和手段,具有较好的工程应用价值。

【Abstract】 Structural topology optimization method is a newly developing method and has achieved remarkable success. For the problem of optimization design of automobile typical structure, at first, this paper summarizes and analyzes the development of Evolutionary Structural Optimization method.Next, in order to deal with the problem of stress concentration after removing inefficient material, a new optimization criterion based on stress and its sensitivity.is proposed, based on the idea that man-made.material is added around optimal structural cavities and boundaries. And checkerboard patterns are avoided by modifying stress sensitivity. Then, Bi-directional Evolutionary Structural Optimization (BESO) criteria and its arithmetic are given, combining ESO method with man-made material elements. And BESO method considering multiple constraints is proposed. Finally, a set of calculation formula of stress sensitivity numbers for bending plate is formulated, and optimization designs of reinforced structures have been completed, by setting up structural optimization model with two layers of elements.The evolutionary optimization procedures are implemented and some examples of automobile components are given. Results show that the methods proposed in this paper are correct and efficient, and they will become important design methods and tools of automobile structures and their components design, are of good engineering application.

  • 【分类号】U461
  • 【被引频次】36
  • 【下载频次】646
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