# Dataset on sinusoidally stiffened 3D printed steel plated structures

**Authors:** Jingbang Pan, Jie Wang, Mark Evernden, Yang Gu

PMC · DOI: 10.1016/j.dib.2024.110193 · Data in Brief · 2024-02-15

## TL;DR

This paper presents a dataset from experiments and simulations on 3D printed steel structures with sinusoidal stiffening patterns, useful for understanding their structural stability.

## Contribution

The novelty lies in providing experimental and numerical data on sinusoidally stiffened 3D printed steel structures for stability design.

## Key findings

- Experimental and numerical data from stub column tests on 316L stainless steel parts were collected.
- Numerical models accurately replicated the load-end shortening responses of the specimens.
- The dataset supports stability design of thin-walled steel structures with advanced stiffening patterns.

## Abstract

The paper reports a series of experimental and numerical data of destructive stub column tests on additively manufactured steel parts stiffened by surface sinusoidal wave patterns. The specimens were made in 316L stainless steel and manufactured by selective laser melting (SLM). The experimental tests covered five tensile coupon tests, fourteen square hollow section (SHS) stub column tests and measurements of geometric imperfections of the stub columns. Numerical models incorporating the measured material and geometric properties were developed and analysed via GMNIA approach. The validity of the numerical models is demonstrated by their accurate replications of the load-end shortening responses of the tested specimens. The reported dataset will contribute to the stability design and characterisation of thin-walled steel plated structures with advanced stiffening patterns.

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC10900762/full.md

## References

5 references — full list in the complete paper: https://tomesphere.com/paper/PMC10900762/full.md

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Source: https://tomesphere.com/paper/PMC10900762