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Cited by 82BIM and Construction IntegrationStructural Health Monitoring Techniques3D Surveying and Cultural Heritage

The DOI matches its Crossref record; 38 of the 40 references it cites were found in a registry or an index.

Structure Monitoring with BIM and IoT: The Case Study of a Bridge Beam Model

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Scianna, Andrea, Gaglio, Giuseppe Fulvio, La Guardia, Marcello·2022·ISPRS International Journal of Geo-Information
DOI 10.3390/ijgi11030173
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Abstract

The diffusion of Building Information Modelling (BIM) as a reference methodology, applied to the world of construction, leads to important changes in the design and the management of big constructions and infrastructures. However, although the BIM approach is necessary for managing the entire life cycle of a construction, today, this methodology is still rarely adopted beyond the design phase. This represents a major flaw because the management of every phase of the life cycle of buildings needs accurate preliminary planning. Certainly, one of the most complex and important phases of the life cycle of a construction is the monitoring phase, which represents a fundamental aspect for the maintenance and the safe fruition of buildings or civil constructions. Considering this, the multidisciplinary approach of merging BIM methodology with real-time monitoring, using low-cost IoT (Internet of Things) sensors, seems to be an interesting topic to develop. In this paper, we will propose an example of a connection between an IoT system and a BIM model for monitoring the deflection of a bridge beam at the centerline using a schematic scale model reproduced in the laboratory and modelled in BIM. The developed system allows the real-time connection between the real model and its digital twin through the use of a relational database management system (RDBMS), to which the data detected by the sensor are transmitted, allowing the risk assessment of the real structure. This solution gives the possibility to remotely monitor, in real time, the behaviour of the structure visualised in the BIM model.

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Crossref · 10.3390/ijgi11030173

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Citations

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Research works printed but not linked: 3

  1. Vurpillot, 1998, Vertical Deflection of a Pre-Stressed Concrete Bridge Obtained Using Deformation Sensors and Inclinometer, ACI Struct. J., 95, 518
  2. Barazzetti, L., Banfi, F., Brumana, R., Previtali, M., and Roncoroni, F. (2016, January 5–8). Integrated modeling and monitoring of the medieval bridge azzone visconti. Proceedings of the 8th European Workshop on Structural Health Monitoring (EWSHM 2016), Bilbao, Spain. · DOI
  3. Kensek, 2014, Integration of Environmental Sensors with BIM: Case studies using Arduino, Dynamo, and the Revit API, Inf. Construcciòn, 66, 1

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Metadata

Authors
Scianna, A., Gaglio, G. F., & La Guardia, M.
Affiliations
  • Institute for High Performance Computing and Networking (IT)
  • Polytechnic School, Department of Engineering, University of Palermo, Viale delle Scienze, 90128 Palermo, Italy
Corresponding author
Scianna, Andrea
ORCID
Venue
ISPRS International Journal of Geo-Information
Publisher
MDPI AG
Published
2022-03-04
Volume
11
Issue
3
Pages
173
ISSN
2220-9964 (ISSN-L)
DOI
10.3390/ijgi11030173
OpenAlex
W4220953125
Cited by
71
References
40
Citations by year
2026: 11 · 2025: 21 · 2024: 14 · 2023: 17 · 2022: 8
FWCI
6.56
Type
journal article
Language
en
Open access
Licence
Locations
  • ISPRS International Journal of Geo-Information (publishedVersion, cc-by)
  • Nova Science Publishers (Nova Science Publishers, Inc.) (submittedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • CNR ExploRA (submittedVersion, other-oa)
Topics
  • Physical Sciences › Engineering › Building and Construction › BIM and Construction Integration
  • Physical Sciences › Engineering › Civil and Structural Engineering › Structural Health Monitoring Techniques
  • Physical Sciences › Earth and Planetary Sciences › Geology › 3D Surveying and Cultural Heritage
Keywords
building information modeling, Internet of Things, structural health monitoring, bridge beams, deflection measurement, digital twin, low-cost sensors, real-time monitoring, scale model, relational databases, risk assessment

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