Buckling behavior of a thin-walled cylinder shell with the cutout imperfections

Zhao, Cheng; Niu, Jialun; Zhang, Qingzhao; Zhao, Chunfeng; Xie, Junfei

doi:10.1080/15376494.2018.1444225

Cited by 16 publications

(4 citation statements)

References 17 publications

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“…Shan et al, [18] considered the effect of different boundary conditions on buckling behaviour and analysed the stress and deformation patterns of the structure. Zhao et al, [19] analysed the buckling behaviour of a thin-walled cylindrical shell under torsion using the finite element method. The authors considered the effect of the shell's curvature on the buckling behaviour and compared the results with those of previous studies.…”

Section: Introductionmentioning

confidence: 99%

Buckling Analysis of a Thin-Walled C-Section Channel under Mechanical and Thermal Load

Omar Shabbir Ahmed,

Abdul Aabid,

Jaffar Syed Mohammad Ali

et al. 2023

ARAM

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Buckling analysis of thin-walled structures is essential to ensure their structural integrity under various loading conditions. The study aims to analyse buckling in thin-walled structures, particularly a C-section channel, under different loads, considering cases with and without holes, using FEM. It investigates hole impact on buckling, critical load, and mode shapes, offering insights for C-section channel design. A finite element method (FEM) is used to model the structure and simulate mechanical and thermal loading conditions. Additionally, the study investigates the critical buckling load factor and mode shapes for both cases with and without holes. The results show that the presence of holes significantly affects the buckling behaviour of the structure. The mode shapes indicate that the buckling behaviour of the structure is different for each case. The critical buckling load factor is lower for the C-section channel with holes, indicating a higher risk of buckling. The results of this study provide insights into the buckling behaviour of thin-walled structures and demonstrate the importance of considering the presence of holes in the design and optimization of C-section channels.

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Section: Introductionmentioning

confidence: 99%

Buckling Analysis of a Thin-Walled C-Section Channel under Mechanical and Thermal Load

Omar Shabbir Ahmed,

Abdul Aabid,

Jaffar Syed Mohammad Ali

et al. 2023

ARAM

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“…Bifurcation buckling occurs once the material has been stressed beyond its proportional limit and beyond the nonlinear buckling portion of the curve. 22 Extensive research has been done on cylindrical shell buckling utilizing finite modeling, [23][24][25][26][27][28][29][30][31][32][33][34][35] digital image correlation, [35][36][37] numerical techniques, [38][39][40][41][42] and physical experiments. 25,32,33 The study by Pinna and Ronalds indicate that the support condition of the cylindrical shell did have an impact on the bifurcation buckling load of the cylindrical shell.…”

Section: Introductionmentioning

confidence: 99%

Effect of wooden pallets characteristics on the compression strength of palletized plastic pails

Valverde

Horváth

2022

Packag Technol Sci

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Palletized unit loads are composed of pallets, packages, and unit load stabilizers. The interactions between components are significant for designing efficient and sustainable pallets. Although there has been research on corrugated boxes, there is no research revolving around plastic pails. The objective of this study was to understand how plastic pails are affected by the pallet's top deckboard thickness and the effect of the pail's location on the pallet. The first phase of testing investigated the pail location effect in five different locations on a small-scale pallet segment. The second phase further investigated the two locations that had the best and worst performances in terms of pail strength. One additional location was chosen based on a previous study on corrugated boxes. It was found that the pallet's top deckboard thickness and the location of the pail both had significant impacts on pail deformation, pallet deflection, and pail compression strength. This study also indicated that symmetrical and asymmetrical loading created different trends when comparing pail deformation, pallet deformation, and pail compression strength. It was found that the thickness of the deckboards is relevant when investigating pail failure but the experiments were unable to find a consistent trend between pallet deflection and pail failure load. These factors can all be taken into account by unit load designers in order to create safe and sustainable pallets.

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“…These defects have a great influence on mechanical behaviors, causing a decrease in the buckling capacity of tubes under axial loading [3,7]. In addition, many experimental studies have shown that buckling appeared earlier than estimated because of initial imperfections, such as in the case of I-sections [6,8], box sections [3,9,10], equal angle columns [11][12][13], T-sections [14], circular sections [15,16], and C-sections [17][18][19] for steel structures or concrete structures [20][21][22], composite structures [23][24][25], and alloy structures [26][27][28][29].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Artificial Intelligence Approaches for Predicting Critical Buckling Load of Structural Members under Compression Considering the Influence of Initial Geometric Imperfections

Duong

et al. 2019

Applied Sciences

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The main aim of this study is to develop different hybrid artificial intelligence (AI) approaches, such as an adaptive neuro-fuzzy inference system (ANFIS) and two ANFISs optimized by metaheuristic techniques, namely simulated annealing (SA) and biogeography-based optimization (BBO) for predicting the critical buckling load of structural members under compression, taking into account the influence of initial geometric imperfections. With this aim, the existing results of compression tests on steel columns were collected and used as a dataset. Eleven input parameters, representing the slenderness ratios and initial geometric imperfections, were considered. The predicted target was the critical buckling load of columns. Statistical criteria, namely the correlation coefficient (R), the root mean squared error (RMSE), and the mean absolute error (MAE) were used to evaluate and validate the three proposed AI models. The results showed that SA and BBO were able to improve the prediction performance of the original ANFIS. Excellent results using the BBO optimization technique were achieved (i.e., an increase in R by 7.15%, RMSE by 40.48%, and MAE by 38.45%), and those using the SA technique were not much different (i.e., an increase in R by 5.03%, RMSE by 26.68%, and MAE by 20.40%). Finally, sensitivity analysis was performed, and the most important imperfections affecting column buckling capacity was found to be the initial in-plane loading eccentricity at the top and bottom ends of the columns. The methodology and the developed AI models herein could pave the way to establishing an advanced approach to forecasting damages of columns under compression.

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Buckling behavior of a thin-walled cylinder shell with the cutout imperfections

Cited by 16 publications

References 17 publications

Buckling Analysis of a Thin-Walled C-Section Channel under Mechanical and Thermal Load

Buckling Analysis of a Thin-Walled C-Section Channel under Mechanical and Thermal Load

Effect of wooden pallets characteristics on the compression strength of palletized plastic pails

Hybrid Artificial Intelligence Approaches for Predicting Critical Buckling Load of Structural Members under Compression Considering the Influence of Initial Geometric Imperfections

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