3D dataset of a twisted bending-active beam element digitized using structure-from-motion photogrammetry

Area of Science:

• Structural Engineering
• Photogrammetry
• Computational Mechanics

Background:

• Accurate 3D spatial data is crucial for advanced structural analysis.
• Photogrammetry offers a non-contact method for geometric data acquisition.
• Lightweight beam elements are vital in modern construction and design.

Purpose of the Study:

• To create a comprehensive spatial dataset of a lightweight beam element.
• To utilize Structure-from-Motion (SfM) and Multi-view Stereo (MVS) photogrammetry for data generation.
• To provide a resource for numerical modeling, simulations, and machine learning in structural engineering.

Main Methods:

• Controlled laboratory data collection using scale bars for accuracy.
• Image processing via photogrammetric software to generate point clouds, meshes, and textures.
• Creation of multi-resolution 3D models (raw, high-poly, medium-poly, low-poly).

Main Results:

• Generation of a detailed 3D spatial dataset of a four-strip twisted plywood beam.
• Acquisition of accurate geometric data through meticulous photogrammetric techniques.
• Production of diverse mesh resolutions suitable for various applications.

Conclusions:

• The generated dataset is a valuable resource for structural engineering research.
• The data supports numerical modeling, complex structure simulations, and machine learning.
• This dataset can validate new photogrammetry and form-finding techniques, especially for large deformations.