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Optimization of multispan ribbed plywood plate macrostructure for multiple load cases

    Jānis Šliseris Affiliation
    ; Kārlis Rocēns Affiliation

Abstract

This paper discusses an optimized structural plate of plywood composite that consists of top and bottom plywood flanges and a core of plywood ribs. The objective function is structure's weight. Typical constrains – maximal stress criteria and maximal deformation criteria – are used. The optimization is done by Genetic Algorithm (GA), and optimization results are used to train Feed-Forward Artificial Neural Network. The numerical simulation of plywood structure is done by using classical linear Kirchoff–Love theory of multilayer plate and Finite Element Method. As a result, an effective optimization methodology for plywood composite material is proposed. The most rational (according to strength-stiffness criteria) plywood composite macrostructure is obtained for some typical cases.

Keyword : plywood composite, structural optimization, Genetic Algorithm, Artificial Neural Network

How to Cite
Šliseris, J., & Rocēns, K. (2013). Optimization of multispan ribbed plywood plate macrostructure for multiple load cases. Journal of Civil Engineering and Management, 19(5), 696-704. https://doi.org/10.3846/13923730.2013.799091
Published in Issue
Oct 29, 2013
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