Biaxial bending design of solid steel storage rack uprights in global buckling

Talebian, Nima; Gilbert, Benoit P.; Miller, David G.; Karampour, Hassan

doi:10.1016/j.jcsr.2022.107395

Cited by 3 publications

(1 citation statement)

References 26 publications

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“…Steel storage racks play a critical role in the popularity of online shopping. At present, the research on steel storage racks mainly focuses on the structural performance of steel storage racks' members and components such as uprights [1][2][3][4][5], joints [6][7][8][9][10][11][12][13], and frames [14][15][16][17]. Typically, these investigations assume that the effects of the center of gravity and eccentricity of the load are disregarded.…”

Section: Introductionmentioning

confidence: 99%

Load Distribution Optimization of Steel Storage Rack Based on Genetic Algorithm

Deng

Niu²,

Yin³

et al. 2022

Buildings

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The distribution of load has high uncertainty, which is the main cause of a rack structure’s instabilities. The objective of this study was to identify the most unfavorable and favorable load distributions on steel storage racks with and without bracings under seismic loading through a stochastic optimization—a genetic algorithm (GA). This paper begins with optimizing the most unfavorable and favorable load distributions on the steel storage racks with and without bracings using GA. Based on the optimization results, the failure position and seismic performance influencing factors, such as the load distributions on the racks and at hazardous positions, are then identified. In addition, it is demonstrated that the maximum stress ratio of the uprights under the most unfavorable load distribution is higher than that under the full-load normal design, and it is not the case that the higher the center of gravity the more dangerous the steel storage rack is, demonstrating that the load distribution pattern has a significant impact on the structural safety of steel storage racks. The statistics of the distributions of the load generated during the optimization of the GA and the contours of the probability distributions of the load are generated. Combining the probability distribution contours and the GA’s optimization findings, the “convex” distribution hazard model and the “concave” distribution safety model for a steel storage rack with bracings are identified. In addition, the features of the distribution hazard model and the load distribution safety model are also identified for steel storage racks without bracings.

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