Optimization of Multispan Ribbed Plywood Plate Macrostructure for Multiple Load Cases

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.

Optimal design of rational fiber orientation for variable stiffness plywood-plastic plate – numerical and experimental investigations

“…The standard birch plywood were used with following elastic properties (Sliseris, Rocens, 2012 The optimal fiber concentration plot is shown in Fig. 4.…”

“…Genetic Algorithm could be used to optimize these plates (Sliseris, Rocens, 2011;Sliseris, Rocens, 2012) or Ant Colony algorithm for more complicated objective function (Sebaey et. al., 2011;Wang et.…”

Corrosion current density prediction in reinforced concrete by imperialist competitive algorithm

“…The basic operators of natural genetics are reproduction, crossover, and mutation. The basic operators of natural genetics are reproduction, crossover, and mutation [ 56 , 57 ]. The GA can be expressed as in Fig.…”

Experimental Evaluation and Numerical Modelling Residual Stresses in Glass Panel

“…An approach proposed for structural analysis can be applied for wide class of glass structures. Future study planned cover design optimization of laminated glass composite panel [19][20][21][22][23].…”