A time domain approach for data interpretation from long‐term static monitoring of historical structures Article Swipe
Simonetta Baraccani
,
Michele Palermo
,
Giada Gasparini
,
Tomaso Trombetti
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1002/stc.2708
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1002/stc.2708
The conservation of historical buildings requires periodic inspections, maintenance, and/or strengthening interventions, resulting in significant costs. The accurate estimate of the structural condition may contribute to optimize the allocation of resources. With the diffusion of innovative technologies of Structural Health Monitoring (SHM), several permanent monitoring systems have been installed in the last decades in historical buildings. This fact has encouraged investigations about methods for the assessment of structural health based on recorded data. The aim of this study is to introduce a time-domain approach for the analysis and interpretation of large amount of data from long-term static monitoring of historical masonry structures. It is assumed that the recorded signals can be decomposed into two main components: a periodical one, mainly due to environmental actions, and a non-periodical component related to potential variations in the state of conservation of the structure. The analysis of the two components is conducted through specific descriptors (here referred to as "reference quantities") by means of statistical evaluations. Such reference quantities could be used as the roots for the establishment of standardized procedures for data analysis and interpretation. The approach has been applied to analyze data from the SHM system of the Two Towers of Bologna (Italy).
Related Topics
Concepts
Structural health monitoring
Masonry
Term (time)
Domain (mathematical analysis)
Computer science
Interpretation (philosophy)
Data mining
Time domain
Risk analysis (engineering)
Reliability engineering
Engineering
Civil engineering
Structural engineering
Mathematics
Programming language
Quantum mechanics
Physics
Medicine
Mathematical analysis
Computer vision
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/stc.2708
- OA Status
- green
- Cited By
- 10
- References
- 28
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3135847928
All OpenAlex metadata
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https://openalex.org/W3135847928Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/stc.2708Digital Object Identifier
- Title
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A time domain approach for data interpretation from long‐term static monitoring of historical structuresWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
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2021-03-01Full publication date if available
- Authors
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Simonetta Baraccani, Michele Palermo, Giada Gasparini, Tomaso TrombettiList of authors in order
- Landing page
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https://doi.org/10.1002/stc.2708Publisher landing page
- Open access
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
- OA URL
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https://www.openaccessrepository.it/record/78661Direct OA link when available
- Concepts
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Structural health monitoring, Masonry, Term (time), Domain (mathematical analysis), Computer science, Interpretation (philosophy), Data mining, Time domain, Risk analysis (engineering), Reliability engineering, Engineering, Civil engineering, Structural engineering, Mathematics, Programming language, Quantum mechanics, Physics, Medicine, Mathematical analysis, Computer visionTop concepts (fields/topics) attached by OpenAlex
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10Total citation count in OpenAlex
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2025: 2, 2024: 3, 2022: 2, 2021: 3Per-year citation counts (last 5 years)
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28Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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