Abstract
A robust structural optimization scheme as well as an optimization algorithm are presented based on the robustness function. Under the uncertainties of the external forces based on the info-gap model, the maximization of the robustness function is formulated as an optimization problem with infinitely many constraints. By using the quadratic embedding technique of uncertainty and the S-procedure, we reformulate the problem into a nonlinear semidefinite programming problem. A sequential semidefinite programming method is proposed which has a global convergent property. It is shown through numerical examples that optimum designs of various linear elastic structures can be found without difficulty.
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Communicated by K. K. Choi
The authors are grateful to the Associate Editor and two anonymous referees for handling the paper efficiently as well as for helpful comments and suggestions.
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Kanno, Y., Takewaki, I. Sequential Semidefinite Program for Maximum Robustness Design of Structures under Load Uncertainty. J Optim Theory Appl 130, 265–287 (2006). https://doi.org/10.1007/s10957-006-9102-z
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DOI: https://doi.org/10.1007/s10957-006-9102-z