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

近年来，结构优化的研究有了相当大的增长，部分原因是强大的超级计算机的出现。然而，结构实践者在获得大型结构的最优设计参数方面取得了参差不齐的成功。拟议的研究工作的目的将是开发高效和可靠的迭代程序，用于受多解析型约束(例如，位移、应力、固有频率和弹性稳定性)的大型结构的最小重量设计。将仔细审查数值方法的发展，以选择最佳程序，以启动、促进和加速结构设计参数的最佳值的收敛。这些程序将被组织成结构化的计算机程序，以允许定期更新和增强。将对照公开文献中提供的数据和在有限的拟议实验工作方案过程中产生的数据来检查拟议程序的有效性。这项工作的重点将是为结构从业者提供有效的设计程序。提出了一项为期三年的研究项目。

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.