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Design and Conceptual Solutions for Industrial Storage Systems

  • A. Bernardino,
  • N. Peixinho

摘要

Although conventional models of industrial storage systems often use constant geometries, their structural elements are optimized according to specific weaknesses. This article presents a process for optimizing the geometric values of profiles with various cross sections to address local instability, which can cause structural failure at low loads. By considering the geometric limits set by Eurocode 3 and manufacturing constraints, we aim to determine a load multiplier through numerical simulations that increases structural resistance by causing failure at higher loads. The genetic algorithm MOGA was used to combine the load multiplier with the constraints of Eurocode 3 and manufacturing limits, resulting in optimized geometric designs of different cold-formed steel cross sections. This procedure produced optimized section geometries that resist local instability in beams for high-bay storage systems.