Preliminary study on a novel Optimal Placed Sensors method based on Genetic Algorithm

The safeguarding of the historical and cultural heritage is one of the main research topics that has been addressed in recent years. Particular attention was given to the development of structural health monitoring systems that allowed the real time acquisition of different physical quantities that...

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Published inJournal of physics. Conference series Vol. 2204; no. 1; pp. 12038 - 12043
Main Authors Scuro, C, Demarco, F, Olivito, R S, Wang, P, Milani, G, Li, S
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.04.2022
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ISSN1742-6588
1742-6596
1742-6596
DOI10.1088/1742-6596/2204/1/012038

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Abstract The safeguarding of the historical and cultural heritage is one of the main research topics that has been addressed in recent years. Particular attention was given to the development of structural health monitoring systems that allowed the real time acquisition of different physical quantities that are stored in a cloud and compared with the health limit values of the structures obtained from numerical analysis previously carried out. One of the major problems highlighted by the use of these systems is related to the position and quantity of smart sensors to be used within the structure to be monitored. To avoid this, in this paper an Optimal Sensors Placement method was applied to a case study located in China. In particular, the positioning of the sensors was identified through an optimization workflow that adopt a Multi Objective Optimization engine called “Octopus” in Grasshopper3D. The identified optimal solutions have made it possible to detect the areas of the structure that will be subject to collapse during a seismic event.
AbstractList The safeguarding of the historical and cultural heritage is one of the main research topics that has been addressed in recent years. Particular attention was given to the development of structural health monitoring systems that allowed the real time acquisition of different physical quantities that are stored in a cloud and compared with the health limit values of the structures obtained from numerical analysis previously carried out. One of the major problems highlighted by the use of these systems is related to the position and quantity of smart sensors to be used within the structure to be monitored. To avoid this, in this paper an Optimal Sensors Placement method was applied to a case study located in China. In particular, the positioning of the sensors was identified through an optimization workflow that adopt a Multi Objective Optimization engine called “Octopus” in Grasshopper3D. The identified optimal solutions have made it possible to detect the areas of the structure that will be subject to collapse during a seismic event.
Author Wang, P
Milani, G
Demarco, F
Olivito, R S
Li, S
Scuro, C
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  organization: Physics Department, University of Calabria, University of Calabria , Italy
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  organization: Department of Civil Engineering, University of Calabria , Italy
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  organization: Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano
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  organization: Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano
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  surname: Li
  fullname: Li, S
  organization: Yangzhou University, College of Civil Science and Engineering , China
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CitedBy_id crossref_primary_10_1016_j_conbuildmat_2023_132402
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SubjectTerms Cultural heritage
Cultural resources
Genetic algorithms
Numerical analysis
Optimization
Physics
Seismic activity
Sensors
Smart sensors
Structural health monitoring
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Title Preliminary study on a novel Optimal Placed Sensors method based on Genetic Algorithm
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