Topology optimization of a bicycle storage unit using vectorized problem formulation

使用矢量化问题公式对自行车存储单元进行拓扑优化

• 批准号: 514711-2017
• 负责人: Jelovica, Jasmin
• 金额: $ 1.69万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=640397
• 关键词: Topology; optimization; bicycle; storage; unit

Computational approaches for optimization of engineering systems need to be developed further to make themsuitable for initial design where most of the project cost is defined. Weight optimization is traditionally veryimportant in structural engineering. Weight-optimal design features structural stresses and other constraints onthe permissible limit. Drawing on this fact, this project attempts to see if searching for optimal designs alongthe border of permissible design space can accelerate the search for optimal structural typologies. This hasshown to reduce computational time in optimization of structural scantlings. Genetic algorithm is used as anoptimizer, in order to deal with discrete nature of the problem and to avoid local pitfalls. Manufacturingrequirements are considered.

需要进一步开发用于优化工程系统的计算方法，以使它们适用于确定了大部分项目成本的初始设计。重量优化传统上在结构工程中非常重要。重量优化设计的特点是结构应力和其他对允许极限的限制。利用这一事实，该项目试图看看沿着允许的设计空间边界寻找最佳设计是否可以加速寻找最佳结构类型。这已表明可以减少结构尺寸优化的计算时间。遗传算法用作优化器，以处理问题的离散性质并避免局部陷阱。考虑制造要求。