A laser scanning-based method for fast estimation of seismic-induced building deformations |
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| Institution: | 1. Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Bologna, via Donato Creti 12, I-40128 Bologna, Italy;2. Università di Padova, Dipartimento di Geoscienze, via Gradenigo 6, I-35131 Padova, Italy;3. Università di Bologna, Dipartimento di Architettura e Pianificazione Territoriale, viale Risorgimento 2, I-40136 Bologna, Italy;4. Università di Bologna, Dipartimento di Fisica, viale Pichat 8, I-40127 Bologna, Italy;1. Department of Earth and Environmental Sciences, Faculty of Science, Yamagata University, Yamagata 990-8560, Japan;2. Earth and Environmental Sciences, Graduate School of Science, Yamagata University, Yamagata 990-8560, Japan;3. Earthquake and Volcano Observatory, Faculty of Science and Technology, Hirosaki University, Aomori 036-8561, Japan;4. Research Center for Prediction of Earthquakes and Volcanic Eruptions, Graduate School of Science, Tohoku University, Miyagi 980-8578, Japan;1. Department of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, Viale Risorgimento 2, 40136 Bologna, Italy;2. Department of Civil and Environmental Engineering, Universitat Politècnica de Catalunya (UPC-BarcelonaTech), Jordi Girona 1-3, 08034 Barcelona, Spain;1. Department of Geophysics, Colorado School of Mines, 1500 Illinois Street, Golden, CO 80401, USA;2. Institute of Earthquake and Volcano Geology, National Institute of Advanced Industrial Science and Technology, Tsukuba Central 7, 1-1-1 Higashi, Ibaraki 305-8567, Japan;3. School of Earth and Space Exploration, Arizona State University, ISTB4, 781 Terrace Road, Tempe, AZ 85287, USA;4. COMET+ & Department of Earth Sciences, University of Oxford, South Parks Road, Oxford OX1 3AN, UK;5. Department of Geology, University of California, Davis, 1 Shields Avenue, Davis, CA 95618, USA |
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| Abstract: | Monitoring damaged buildings in an area where an earthquake has occurred requires the use of techniques which provide rapid and safe measurements even in emergency conditions. In particular, remote sensing techniques like terrestrial laser scanning (TLS) can satisfy these requirements, since they produce very dense point clouds in little time and also allow an accurate geometric modeling of observed buildings. Nevertheless, strong constraints on TLS data acquisition geometry, such as acquisition distance and incidence angles, typically characterize an area in seismic emergency conditions. In order to correctly interpret the data, it is necessary to estimate errors affecting TLS measurements in these critical conditions. A reliable estimation can be achieved by means of experiments and numerical simulations aimed at quantifying a realistic noise level, with emphasis on reduction of artifacts due to data acquisition, registration and modeling. This paper proposes a data analysis strategy in which TLS-based morphological maps computed as point-to-primitive differences are created. The method can be easily used for accurate surveying in emergency conditions. In order to demonstrate the proposed method in very diverse situations, it was applied to rapidly detect deformation traces in the San Giacomo Roncole Campanile (Modena), the Asinelli tower (Bologna) and the Cantalovo Church (Verona), three buildings damaged by the Mw 5.9 Emilia Romagna 2012 earthquake (Italy). |
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| Keywords: | Architecture Change detection Laser scanning Model Performance |
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