The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/7dc3b79a-5571-4337-bde4-19c0622a5e6b

de Mooij, Cornelis; Martinez, Marcias (2025): Research data underlying the publication: Geometric Nonlinear Shape Sensing Using The Calibration Matrix Method. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/7dc3b79a-5571-4337-bde4-19c0622a5e6b.v1

Categories

• Aerospace Engineering
• Engineering

Keywords

Abaqus/CAE Calibration Matrix geometric nonlinearity Load Reconstruction Shape sensing Structural Health Monitoring (SHM)

Licence

CC BY 4.0

Interoperability

• RO-Crate Metadata

Export as...

RefWorks BibTeX Reference Manager Endnote DataCite NLM DC CFF

by Cornelis de Mooij , Marcias Martinez

Research Data for the publication: Geometric Nonlinear Shape Sensing Using The Calibration Matrix Method, submitted for publication in July 2025. The contents include ABAQUS CAE models, GNL FEM analysis result files and the JSON results of the calibration matrix analyses based on these models and results. Additionally, MATLAB scripts and an Excel sheet are included which were used to analyze and visualize these results, along with PNG images of these visualizations.

History

• 2025-07-22 first online, published, posted

Publisher

4TU.ResearchData

Format

data/.json, data/.txt, ABAQUS/.cae, ABAQUS/.rpt, ABAQUS/.jnl, spreadsheet/.xlsx, MATLAB/.m, MATLAB/.asv, image/.png

Funding

• FP7 Marie Curie Career Integration Grant titled: Monitoring of Aerospace Structural Shapes (MASS) (grant code 618316) [more info...] European Research Council

Organizations

TU Delft, Faculty of Aerospace Engineering, Aerospace Structures & Materials