题名: |
Redundancy Optimization of Finite-Dimensional Structures: Concept and Derivative-Free Algorithm |
正文语种: |
英文 |
作者: |
Yoshihiro Kanno |
作者单位: |
Tokyo Institute of Technology |
关键词: |
Robustness; Redundancy; Resilience; Uncertainty; Derivative-free optimization; Simplex gradient; Structural optimization. |
摘要: |
Redundancy is related to the amount of functionality that the structure can sustain in the worst-case scenario of structural degradation. This paper proposes a widely-applicable concept of redundancy optimization of flnite-dimensional structures. The concept is consistent with the robust structural optimization and with the quantitative measure of structural redundancy on the basis of the informationgap theory. A derivative-free algorithm is proposed on the basis of the sequential quadratic programming (SQP) method, in which the finite-difference method that adaptively varies the difference increment is used. Preliminary numerical experiments show that an optimal solution of the redundancy optimization problem possibly has multiple worst-case scenarios. DOI: 10.106l/(ASCE)ST.1943-541X.0001630.© 2016 American Society of Civil Engineers. |
出版日期: |
2017.01 |
出版年: |
2017 |
期刊名称: |
Journal of Structural Engineering |
卷: |
Vol.143 |
期: |
NO.01 |
页码: |
04016151 |