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Author

Martin Vild

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2 papers indexed here

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Open access Sep 2026

Machine Learning for Column Web Panel in Transverse Compression Component

The component method enables efficient design of diverse steel joints by decomposing the joint into individual components characterized by their load resistance and initial stiffness. Machine Learning (ML) models exceed code‐based formulas in predictive accuracy; however, their limited interpretability raises concern a...

Amina Hajdarević, Martin Vild, Andreas A. Müller et al. · 1 citation
Open access Sep 2026

COMPARISON AND TUNING OF MACHINE LEARNING MODELS FOR COLUMN WEB PANEL IN TRANSVERSE COMPRESSION

A machine learning-based approach for resistance prediction of the column web panel in transverse compression, based on a numerical dataset generated using IDEA StatiCa Connection, and three machine learning models are investigated and compared.

Amina Hajdarević, Martin Vild, F. Ljubinković et al. · 0 citations

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