Machine Learning‐Based Sensitivity Analysis of Geometric and Material Variables of Beam‐to‐upright bolt‐less Connection
Machine Learning‐Based Sensitivity Analysis of Geometric and Material Variables of Beam‐to‐upright bolt‐less Connection
M. Calispa,Jon Larrañaga,4 Authors,I. Ulacia
TLDR
This work states that conventional approaches to characterize the moment‐rotation behaviour of beam‐to‐upright semi‐rigid assemblies are often prohibitively expensive, either due to high experimental costs or the computational demands of detailed simulations, and they may not fully capture the complex joint behaviour.
Abstract
Beam‐to‐upright semi‐rigid assemblies are widely recognized in the storage warehouse industry for their lightweight nature, ease of installation, and favourable strength‐to‐weight ratio. Extensive research has focused on experimental and numerical investigations to characterize the moment‐rotation behaviour and identify typical failure modes of these joints. However, existing approaches are often prohibitively expensive, either due to high experimental costs or the computational demands of detailed simulations, and they may not fully capture the complex joint behaviour.