Dataset on sinusoidally stiffened 3D printed steel plated structures

Area of Science:

• Materials Science
• Structural Engineering
• Additive Manufacturing

Background:

• Thin-walled steel structures often require stiffening for stability.
• Surface sinusoidal wave patterns offer an advanced stiffening approach.
• Additive manufacturing enables complex geometries like these patterns.

Purpose of the Study:

• To experimentally and numerically investigate the behavior of additively manufactured steel stub columns with sinusoidal wave stiffening.
• To provide data for the stability design and characterization of such structures.
• To validate numerical models for predicting the performance of these components.

Main Methods:

• Selective laser melting (SLM) was used to produce 316L stainless steel specimens.
• Experimental testing included tensile coupon tests and destructive stub column tests.
• Geometric imperfections and material properties were measured.
• Finite element models were developed and analyzed using a Generalised Method of Sectional Analysis (GMNIA).

Main Results:

• Experimental load-end shortening responses were accurately replicated by the numerical models.
• The study generated a dataset of destructive stub column tests.
• The effectiveness of sinusoidal wave patterns as stiffeners was evaluated.

Conclusions:

• Validated numerical models can predict the behavior of additively manufactured stiffened steel columns.
• The generated data supports the design and characterization of thin-walled steel structures with advanced stiffening.
• This research contributes to the use of additive manufacturing in structural applications.