Simulation Data for Graded Negative Stiffness Metamaterial Beams

2.0 MB of data supports a novel analytical formulation for predicting the stability and energy absorption of bi-level architected lattice metamaterials. The dataset, created by T. Mukhopadhyay and uploaded to figshare in April 2026, includes results from matrix-based calculations, finite element simulations, and experimental validations concerning curved beam architectures.

Use Cases

• Validate the sequentially-adaptive modal formulation's prediction accuracy against finite element simulation results.
• Analyze the relationship between spatially graded beam profiles and specific energy absorption capability.
• Explore the design space for tailorable constitutive behavior using parameters for layer-wise varying unit cell architectures.
• Investigate modal insights from beam-level constitutive relations to program negative stiffness and multi-stability.

Strengths

• Data is validated by separate large-deformation finite element simulations and experimental investigations.
• The associated analytical formulation shows a significant improvement in prediction accuracy compared to prior literature.
• Released under a permissive CC-BY-4.0 license for open use and modification.

Limitations

• The dataset is relatively small at 2.0 MB, suggesting it contains summary results or a limited number of simulation cases rather than raw high-volume data.
• Specific data structure, column names, and row counts are not provided, complicating immediate analysis.

Provenance

Source

T. Mukhopadhyay via figshare.

Collection Method

Generated from analytical matrix-based formulation, finite element simulations, and experimental investigations.

Freshness

Last updated on 2026-04-05.