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Content available remote Post buckling modelling and optimization of sandwich panels with corrugated cores
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EN
In the present study, analytical expressions for critical loads are derived and eigenvalue and post buckling analyses are performed on the panels, using the finite element method, and the commercial software ABAQUS. A genetic algorithm is used for optimization of sandwich panels with periodic, open-cell cores. Yielding and buckling in components are treated as optimization constraints. Then minimum weights for some load capacities are determined. Design variables and cost function are defined as non-dimensional and optimal results are shown by diagrams.
EN
The granary weevil, Sitophilus granarius (L.), is one of the most important internal feeders of stored grain. Nanotechnology has become one of the most promising new approaches for pest control in recent years. In our screening program, laboratory trials were conducted to determine the effectiveness of silica nanoparticles (SNPs) and zinc nanoparticles (ZNPs) against the larval stage and adults of S. granarius on stored wheat. Nanoparticles of silica and zinc were synthesized through a solvothermal method. They were then used to prepare insecticidal solutions of different concentrations and tested on S. granarius. Silica nanoparticles (SNPs) were found to be highly effective against S. granarius causing 100% mortality after 2 weeks. ZNPs were moderately effective against this pest.
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