Geometrical Digital Twins of Three-Leaf Stone Masonry Walls via Laser Scanning

A 2023 dataset from École Polytechnique Fédérale de Lausanne contains raw and processed laser scan data for the as-built microstructure of three-leaf stone masonry walls measuring 700mm x 700mm x 400mm. It includes data analysis scripts and corresponds to a paper published in Scientific Data. The dataset was created by Savvas Saloustros and colleagues.

Use Cases

• Developing geometric models for structural simulation based on the high-resolution laser scan data.
• Training machine learning models for stone segmentation and classification based on the wall microstructure data.
• Validating computational models of masonry behavior against real-world, as-built geometric data.
• Creating digital archives for heritage conservation based on the detailed 3D representations of stone walls.

Strengths

• Includes both raw and processed data, allowing for reproducibility and custom analysis.
• Accompanied by data analysis scripts, which may facilitate reuse.
• Corresponds to a peer-reviewed journal article published in Scientific Data in 2023.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and total dataset size are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

École Polytechnique Fédérale de Lausanne

Collection Method

Laser scanning of constructed three-leaf stone masonry wall samples.