Recent ground-breaking advances in sensing technologies, data processing, and structural identification have made Structural Health Monitoring (SHM) occupy a central place in Structural Engineering. Although the technological transfer to the industry is still in the early development stages, there is clear evidence that SHM-enabled condition-based maintenance of structures will soon supersede traditional periodic maintenance strategies. Among the existing solutions, ambient vibration-based SHM has become particularly popular owing to its minimum intrusiveness and global damage assessment capabilities. Nevertheless, it is well documented that local pathologies with limited impact over the stiffness of structures can be hardly detected by such techniques. As a solution, recent studies advocate the use of integrated monitoring systems, where data from heterogeneous sensor networks are simultaneously processed to achieve a comprehensive structural assessment. Despite the great advances of these systems reported by researchers, practitioners still find many difficulties to bring them to practice. In this light, this paper reports the development of two novel software solutions for long-term SHM of structures, MOVA and MOSS, that are intended to bridge this gap while also introducing new methodological and scientific advances. The developed software enables the online system identification and damage detection of structures, including vibration-based SHM and data fusion of heterogeneous sensing systems with an innovative automated anomaly detection algorithm. A case study of a permanent static/dynamic/environmental monitoring system installed in a monumental masonry palace, the Consoli Palace in Gubbio (Italy), is presented to illustrate the capabilities of MOVA/MOSS.

MOVA/MOSS: Two integrated software solutions for comprehensive Structural Health Monitoring of structures

Garcia Macias E.
;
Ubertini F.
2020

Abstract

Recent ground-breaking advances in sensing technologies, data processing, and structural identification have made Structural Health Monitoring (SHM) occupy a central place in Structural Engineering. Although the technological transfer to the industry is still in the early development stages, there is clear evidence that SHM-enabled condition-based maintenance of structures will soon supersede traditional periodic maintenance strategies. Among the existing solutions, ambient vibration-based SHM has become particularly popular owing to its minimum intrusiveness and global damage assessment capabilities. Nevertheless, it is well documented that local pathologies with limited impact over the stiffness of structures can be hardly detected by such techniques. As a solution, recent studies advocate the use of integrated monitoring systems, where data from heterogeneous sensor networks are simultaneously processed to achieve a comprehensive structural assessment. Despite the great advances of these systems reported by researchers, practitioners still find many difficulties to bring them to practice. In this light, this paper reports the development of two novel software solutions for long-term SHM of structures, MOVA and MOSS, that are intended to bridge this gap while also introducing new methodological and scientific advances. The developed software enables the online system identification and damage detection of structures, including vibration-based SHM and data fusion of heterogeneous sensing systems with an innovative automated anomaly detection algorithm. A case study of a permanent static/dynamic/environmental monitoring system installed in a monumental masonry palace, the Consoli Palace in Gubbio (Italy), is presented to illustrate the capabilities of MOVA/MOSS.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11391/1465427
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