Buckling Assessment of Imperfect Cylindrical Shells Under Axial Loads Using a Gep Technique

Abstract

Determination of buckling behavior of shell structures has long been identified as a challenging task. This is largely because the buckling behavior is masked by local large deformations, which occur once the critical load is reached. This research proposes a novel technique to accurately predict the buckling load of imperfect cylindrical shells using gene expression programming (GEP), which is an evolutionary artificial intelligence method. An existing experimental data bank was employed for training and testing the program, and the obtained buckling load of shell structures were accordingly verified. From the results, it is concluded that GEP is a promising and reliable method to determine the buckling load of shell structures subjected to axial compression.Sažetak: Definiranje ponašanja pri izvijanju odavno je identificirano kao izazovan zadatak pri izučavanju plošnih konstrukcija. Razlog tomu je činjenica da lokalne velike deformacije nastaju nakon dosezanja kritičnog opterećenja pa je opće ponašanje pri izvijanju prikriveno tim deformacijama. Ovo istraživanje predlaže novi pristup za precizno određivanje sile pri izvijanju kod nesavršenih cilindričnih ljuski, primjenom programiranja genetičkim izrazom (GEP), evolucijske metode umjetne inteligencije. Za učenje i testiranje programa primijenjena je postojeća eksperimentalna baza podataka te je predložen izraz za silu pri izvijanju plošnih konstrukcija, koji je sukladno tome i verificiran. Zaključeno je da je GEP obećavajuća i pouzdana metoda za određivanje sile izvijanja kod osno naprezanih plošnih konstrukcija. Ključne riječi: tehnika programiranja genetičkim izrazom; plošne konstrukcije; sila pri izvijanju; osno tlačno naprezanje Number 17, Year 2018 Page 89-100 Buckling assessment of imperfect cylindrical shells under axial loads using a GEP technique Mansouri, I., Farzampour, A.

Improved Homotopy Perturbation Method for Geometrically Nonlinear Analysis of Space Trusses

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Force–Displacement Relationship of the Butterfly-Shaped Beams Based on Gene Expression Programming

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Peak strength prediction of reinforced concrete columns in different failure modes based on gene expression programming

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