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Abstract

In this report, the mathematical programming method is described, which is capable of solving a broad class of structural optimization problem. The method employs reciprocal design variables in order to get first-order approximations to the object function and to the constrains. By this approach, the primary problem is replaced with a sequences of explicit subproblems. Each subproblem which is convex and separable could be efficiently solved by using a dual formulation. Within this report, the method is applied on sizing optimization of trusses for a fixed, geometry and it is generalized to the case where the geometry is not fixed.



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Issue: Vol 7 No 4&5 (2004)
Page No.: 128-140
Published: May 31, 2004
Section: Article
DOI: https://doi.org/10.32508/stdj.v7i4&5.3206

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Creative Commons License

Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 How to Cite
Hung, N. (2004). STRUCTURAL OPTIMIZATION USING LINEAR APPROXIMATION METHOD. Science and Technology Development Journal, 7(4&5), 128-140. https://doi.org/https://doi.org/10.32508/stdj.v7i4&5.3206

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