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基于P1N1植物生长算法的车身梁截面快速优化
引用本文:宋凯,崔晓,阳均. 基于P1N1植物生长算法的车身梁截面快速优化[J]. 中国机械工程, 2015, 26(10): 1409-1415
作者姓名:宋凯  崔晓  阳均
作者单位:湖南大学汽车车身先进设计制造国家重点实验室,长沙,410082
基金项目:国家高技术研究发展计划(863计划)资助项目(SS2012AA111802);中国博士后科学基金资助项目(2014M552132);广西科技计划重大专项(桂科重1348003-5);国家国际科技合作计划资助项目(2014DFG71590);湖南大学“青年教师成长计划”资助项目
摘    要:为了在概念设计阶段快速有效地实现车身梁截面的优化设计,提出一种基于P1N1植物生长算法的截面快速优化方法。该方法结合汽车车身关键截面数据库,同时考虑了车身造型、内部空间、基本性能、制造工艺等方面约束条件。通过提取出截面数据库中的截面节点坐标以及截面性能参数,将数据库中梁截面的节点坐标作为设计变量,导入到P1N1植物生长优化算法中进行优化,从而控制梁截面的形状。建立基于P1N1植物生长算法的相关数学模型,并编制了相应的程序,通过算例验证了该方法能够高效实现车身梁截面的快速优化。

关 键 词:车身  梁截面  P1N1植物生长算法  截面快速优化  

Rapid Optimization for Beam Cross-sections of Automobile Body Based on P1N1 Plant Growth Algorithm
Song Kai,Cui Xiao,Yang Jun. Rapid Optimization for Beam Cross-sections of Automobile Body Based on P1N1 Plant Growth Algorithm[J]. China Mechanical Engineering, 2015, 26(10): 1409-1415
Authors:Song Kai  Cui Xiao  Yang Jun
Affiliation:State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body,Hunan University,Changsha,410082
Abstract:In order to optimize the beam cross-sections of car body quickly and effectively in the conceptual design phase, a fast optimization method was proposed based on P1N1 plant growth algorithm. This method combined a database of the automobile body key section, taking into account the body styling, the internal space, the basic performance and other aspects of the manufacturing process constraints. By extracting the node coordinates and the performance parameters of the cross-sections, the node coordinates of beam cross-sections were imported into P1N1 plant growth algorithm as design variables to optimize, thereby controlling the beam cross-sectional shape. Based on P1N1 plant growth algorithm, a mathematical model and corresponding program were established. An application has proved this method can realize rapid optimization of beam cross-sections of the automobile body efficiently.
Keywords:automotive body   ,beam cross-section   ,database   ,P1N1 plant growth algorithm,rapid optimization of cross-section,
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