The aim of this paper is to monitor the dynamic stresses in masonry historical constructions by Structural Health Monitoring System (SHM). The integration of SHM systems into historical constructions is a very complex problem due to the heterogeneity of the raw materials, the geometric complexity of the building, the need of the simultaneous monitoring of many parts. Because to the complexity of the structures under monitoring, SHM system based on Internet of Things (IoT) paradigm can be a solution. IoT paradigm permits to spread heterogeneous sensors all over and each of them is able to acquire and elaborate data. Further interesting aspect is the managing of such data with genetic algorithm to identify the damage and the variation of the engineering constants. However, in the case of masonry historical constructions such algorithms could fail due to the complexity of the structures. Aim of this work is to overcome this problem by identifying the structural elements introducing high complexity and then causing the fail of the monitoring system and to propose their substitution with low complex equivalent models.
Structural Health Monitoring System for Masonry Historical Construction
Lamonaca F.;Olivito R. S.;Porzio S.;Scuro C.
2018-01-01
Abstract
The aim of this paper is to monitor the dynamic stresses in masonry historical constructions by Structural Health Monitoring System (SHM). The integration of SHM systems into historical constructions is a very complex problem due to the heterogeneity of the raw materials, the geometric complexity of the building, the need of the simultaneous monitoring of many parts. Because to the complexity of the structures under monitoring, SHM system based on Internet of Things (IoT) paradigm can be a solution. IoT paradigm permits to spread heterogeneous sensors all over and each of them is able to acquire and elaborate data. Further interesting aspect is the managing of such data with genetic algorithm to identify the damage and the variation of the engineering constants. However, in the case of masonry historical constructions such algorithms could fail due to the complexity of the structures. Aim of this work is to overcome this problem by identifying the structural elements introducing high complexity and then causing the fail of the monitoring system and to propose their substitution with low complex equivalent models.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.