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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 88
PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY Edited by: B.H.V. Topping and M. Papadrakakis
Paper 53
Optimal Design of Trusses Considering Uncertainty: A Comparison of Two Approaches S. Zier
Institute for Mathematics and Computer Sciences, Aero-Space Engineering and Technology, Federal Armed Forces University Munich, Germany S. Zier, "Optimal Design of Trusses Considering Uncertainty: A Comparison of Two Approaches", in B.H.V. Topping, M. Papadrakakis, (Editors), "Proceedings of the Ninth International Conference on Computational Structures Technology", Civil-Comp Press, Stirlingshire, UK, Paper 53, 2008. doi:10.4203/ccp.88.53
Keywords: optimal design, truss, under uncertainty, random external loadings.
Summary
Using the first collapse-theorem, the necessary and sufficient survival conditions of an
elasto-plastic structure consist of the yield condition and the equilibrium condition.
In practical applications several random model parameters have to be taken into account. This leads to a stochastic optimization problem which cannot be solved using the traditional methods. Instead of that, appropriate (deterministic) substitute problems must be
formulated [1].
Here, the design of trusses is considered, where the external load is considered to be stochastic. In the first approach the recourse problem will be formulated in general and in the standard form of stochastic linear programming (SLP) [2]. In order to apply efficient numerical solution procedures (LP-solvers), approximate recourse problems based on discretization and the expected value problem are introduced [3,4]. In the second approach, based on the yield condition, a quadratic cost function will be introduced [5]. After the formulation of the stochastic optimization problem, the expected cost based optimization (ECBO) problem and the minimum expected cost (MEC) problem are formulated as representatives of appropriate substitute problems. Subsequently, comparative numerical results using these methods are presented. Therefore, the three-bar truss is considered. The numerical results confirm the advantage of the presented stochastic opimization methods. Due to the different approaches, in some cases it is not possible to compare all methods in each detail. It turns out that a method which is superior to the others does not exist. References
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