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research
Integrated process of images and acceleration measurements for damage detection
Authors
Antonacci
Bay
+11 more
Erika Ottaviano
Foti
Francesco Potenza
Gattulli
Gevers
Gianni Castelli
Gilbert-Rainer
Koch
Potenza
Sánchez-Silva
Vincenzo Gattulli
Publication date
1 January 2017
Publisher
'Elsevier BV'
Doi
Cite
Abstract
The use of mobile robots and UAV to catch unthinkable images together with on-site global automated acceleration measurements easy achievable by wireless sensors, able of remote data transfer, have strongly enhanced the capability of defect and damage evaluation in bridges. A sequential procedure is, here, proposed for damage monitoring and bridge condition assessment based on both: digital image processing for survey and defect evaluation and structural identification based on acceleration measurements. A steel bridge has been simultaneously inspected by UAV to acquire images using visible light, or infrared radiation, and monitored through a wireless sensor network (WSN) measuring structural vibrations. First, image processing has been used to construct a geometrical model and to quantify corrosion extension. Then, the consistent structural model has been updated based on the modal quantities identified using the acceleration measurements acquired by the deployed WSN. © 2017 The Authors. Published by Elsevier Ltd
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IRIS Unicas (Università degli Studi di Cassino e del Lazio Meridionale)
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oai:iris.unicas.it:11580/66327
Last time updated on 05/03/2023
Crossref
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info:doi/10.1016%2Fj.proeng.20...
Last time updated on 15/02/2019
Archivio della ricerca- Università di Roma La Sapienza
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oai:iris.uniroma1.it:11573/109...
Last time updated on 18/04/2018