| 蒲阳,鲍鼎文.基于双向渐进结构拓扑优化算法的创新设计研究[J].包装工程,2023,44(22):62-75, 101. |
| 基于双向渐进结构拓扑优化算法的创新设计研究 |
| Innovative Design Based on Bi-directional Evolutionary Structural Optimization Algorithm |
| 投稿时间：2022-06-11 |
| DOI：10.19554/j.cnki.1001-3563.2023.22.008 |
| 中文关键词: 双向渐进结构拓扑优化算法 算法设计流程 创新设计实践 |
| 英文关键词: Bi-directional Evolutionary Structural Optimization algorithm algorithm design process innovative design practice |
| 基金项目:2021教育部首批新文科研究与改革实践项目(2021160036);2022年江苏省研究生科研创新计划项目(KYCX22_ 2288);2022年湖北省社科基金一般项目(后期资助项目)(HBSK2022YB526);华中师范大学2022年校级教学研究项目 |
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| 中文摘要: |
| 目的 在数字化设计的背景下，探索基于结构性能化的算法找形方法，运用双向渐进结构拓扑优化算法(Bi-Directional Evolutionary Structural Optimization，BESO)展开创新设计实践研究。方法 在理解双向渐进结构拓扑优化算法的基本内涵、相关理论、历史发展和现状应用的基础上，分析其算法生成的优势及可行性，并以算法的组织模式与生形原理为前提，对其进行几何划分、约束条件、优化技术、结构模拟、材料设定、迭代生形等内容协同一体的生成策略研究，提供了多元选择的设计机会。结果 得到了运用双向渐进结构拓扑优化算法进行的基于初始形态设计、拓扑优化设计和后处理与制造三步骤创新设计实践结果。结论 此设计实践方案验证了该算法生成方法的设计应用可行性，同时也为多领域应用该算法提供了新思路和新方向。 |
| 英文摘要: |
| In the context of digital design, the work aims to explore the algorithmic shape finding method based on structural performance, and use the Bi-Directional Evolutionary Structural Optimization (BESO) algorithm to carry out innovative design practice research. Based on the understanding of the basic connotation, theory, historical development and current application of the Bi-Directional Evolutionary Structural Optimization (BESO) algorithm, the advantages and feasibility of its algorithm generation were analyzed and a collaborative research was conducted on the generation strategy of geometric division, constraints, optimization techniques, structural simulation, material setting and iterative shape generation with the premise of the organization mode and shape generation principle of the algorithm, so as to provide multiple options for design opportunities and optimal results. A three-step innovative design practice based on initial morphology design, topology optimization design and post-processing and manufacturing by a Bi-Directional Evolutionary Structural Optimization algorithm was obtained. This design practice scheme verifies the feasibility of the design application of this algorithm generation method, and also provides new ideas and directions for the application of this algorithm in multiple fields. |
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