Redundancy Optimization of Finite-Dimensional Structures: Concept and Derivative-Free Algorithm
Publication: Journal of Structural Engineering
Volume 143, Issue 1
Abstract
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 finite-dimensional structures. The concept is consistent with the robust structural optimization and with the quantitative measure of structural redundancy on the basis of the information-gap 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.
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Acknowledgments
This work is partially supported by the Support Program for Urban Studies from the Obayashi Foundation.
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Published In
Journal of Structural Engineering
Volume 143 • Issue 1 • January 2017
Copyright
© 2016 American Society of Civil Engineers.
History
Received: Dec 17, 2015
Accepted: Jun 21, 2016
Published online: Aug 3, 2016
Published in print: Jan 1, 2017
Discussion open until: Jan 3, 2017
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