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http://hdl.handle.net/2122/11958
Authors: | Bianchi, Maria Giovanna* Casula, Giuseppe* Cuccuru, Francesco* Fais, Silvana* Ligas, Paola* Ferrara, Concetta* |
Title: | Three-dimensional imaging from laser scanner, photogrammetric and acoustic non-destructive techniques in the characterization of stone building materials | Journal: | Advances in Geosciences | Series/Report no.: | /45 (2018) | Publisher: | Copernicus | Issue Date: | 27-Jul-2018 | DOI: | 10.5194/adgeo-45-57-2018 | Keywords: | Architectural monumental structures Structural Diagnosis Digital Color Images 3D Terrestrial Laser Scanner Acoustic tomography Petrographical data 3D Modeling |
Subject Classification: | Cultural Heritage Architectural Elements ND Diagnosis |
Abstract: | Abstract. When combined, the three-dimensional imaging of different physical properties of architectural monumen- tal structures acquired through different methodologies can highlight with efficiency the characteristics of the stone building materials. In this work, we compound high res- olution Digital Color Images (DCI) and Terrestrial Laser Scanner (TLS) data for a dense 3-D reconstruction of an ancient pillar in a nineteenth century building in the town of Cagliari, Italy. The TLS technique was supported by a digital photogrammetry survey in order to obtain a natural color texturized 3-D model of the studied pillar. Geometri- cal anomaly maps showing interesting analogies were com- puted both from the 3-D model derived from the TLS ap- plication and from the high resolution 3-D model detected with the photogrammetry. Starting from the 3-D reconstruc- tion from previous techniques, an acoustic tomography in a sector of prior interest of the investigated architectural ele- ment was planned and carried out. The ultrasonic tomogra- phy proved to be an effective tool for detecting internal decay or defects, locating the position of the anomalies and estimat- ing their sizes, shapes, and characteristics in terms of elastic- mechanical properties. Finally, the combination of geophysi- cal and petrographical data sets represents a powerful method for understanding the quality of the building stone materials in the shallow and inner parts of the investigated architectural structures. |
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