Optimal Design of Large-Scaled Structures with Multianalysis-Type Constraints

具有多重分析型约束的大型结构优化设计

• 批准号: 8821143
• 负责人: Oliver McGee III
• 金额: --
• 依托单位: Ohio State University Research Foundation -DO NOT USE
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1989
• 资助国家: 美国
• 起止时间: 1989-04-15 至 1993-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8821143&HistoricalAwards=false
• 关键词: Optimal; Design; Large; Scaled; Structures

Research in structural optimization has grown considerably in recent years, in part due to the emergence of powerful supercomputers. However, structural practitioners have achieved uneven success in obtaining optimal design parameter for large- scale structures. The purpose of the proposed research effort would be to develop efficient and reliable iterative procedures for minimum-weight design of large structures subject to multianalysis-type constrains (e.g., displacements, stresses, natural frequencies, and elastic stability). Developments in numerical methods would be carefully reviewer to select the best procedures to initiate, promote and accelerate convergence of optimal values for structural design parameters. The procedures would be organized into structured computer programs to permit periodic updates and enhancements. The validity of the proposed procedures would be checked against data available in the open literature and data generated in the course of a limited program of proposed experimental work. The focus of the effort would be to suggest efficient design procedures for structural practitioners. A three-year research project is proposed.

近年来，由于强大的超级计算机的出现，结构优化方面的研究有了长足的发展。然而，对于大型结构的最优设计参数，结构实践者取得了参差不齐的成功。拟议的研究工作的目的是为受多分析型约束（例如，位移，应力，固有频率和弹性稳定性）约束的大型结构的最小重量设计开发有效和可靠的迭代程序。将仔细审查数值方法的发展，以选择最佳程序来启动、促进和加速结构设计参数的最优值的收敛。这些程序将被组织成结构化的计算机程序，以便定期更新和改进。建议的程序的有效性将根据公开文献中的可用数据和在建议的实验工作的有限程序中产生的数据进行检查。这项工作的重点是为结构实践者提出有效的设计程序。提出了一个为期三年的研究项目。