Abstract
To date, the potential development of 3D laser scanning has enabled the capture of high-quality and high-precision reality-based datasets for both research and industry. In particular, Terrestrial Laser Scanning (TLS) technology has played a key role in the documentation of cultural heritage. In the existing literature, the geometric properties of point clouds are still the main focus for 3D reconstruction, while the surface performance of the dataset is of less interest due to the partial and limited analysis performed by certain disciplines. As a consequence, geometric defects on surface datasets are often identified when visible through physical inspection. In response to that, this study presents an integrated approach for investigating the materials behavior of heritage building surfaces by making use of attribute point cloud information (i.e., XYZ, RGB, reflection intensity). To do so, fracture surface analysis and material properties are computed to identify vulnerable structures on the existing dataset. This is essential for architects or conservators so that they can assess and prepare preventive measures to minimize microclimatic impacts on the buildings.
Highlights
As introduced in the previous section, this study aims to investigate the surface morphology of existing cultural heritage buildings by analyzing the material properties and fracture planes in the surface dataset
A series of computational procedures was developed to achieve this goal. It consists of three main steps, namely pre-processing of the dataset, exploratory data analysis that include fracture surface analysis and material properties, and lastly, integrated analysis between fracture plane points and material properties
As part of an exploratory research, this study subsamples the density of point clouds into a spatial distance of 5 cm. This is because, first, this study focuses on exploiting the attribute information of the dataset, especially the radiometric properties of the point cloud
Summary
Cultural heritage documentation using Terrestrial Laser Scanning (TLS) technology has significantly improved for both research and industry. This is due to the wide availability of technology and to the ease of use, which makes creating the dataset efficient and practical [1]. It becomes feasible to provide significant contributions to heritage building performance analysis. In this regard, the heritage building surfaces require great attention to maintain a proper lifecycle, especially relating to climate and environmental issues such as energy consumption, safety, materials, and indoor environment
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