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INFORMATIVE CONTENT MODELS FOR INFRASTRUCTURE LOAD TESTING MANAGEMENT: THE AZZONE VISCONTI BRIDGE IN LECCO
- Source :
- The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W11, Pp 995-1001 (2019)
- Publication Year :
- 2019
- Publisher :
- Copernicus GmbH, 2019.
-
Abstract
- Informative models are not limited only to new construction or existing building but can also be used (also been used) for large infrastructure management like bridges. The adoption of informative content models for structural health monitoring (SHM) of such infrastructures poses some issues that need to be solved in order to develop smooth management and maintenance workflows. This paper describes a novel methodology for the generation of a detailed BIM of a complex medieval bridge and the possibility to link specific data coming from load testing. Integration of information coming from different data sources is one of the most important aspects for the development of maintenance programs. However, each actor in the process makes use of different strategies and protocols whose integration can generate bottlenecks. To partially overcome this limitation a cloud-based solution was used, and a Building Information Model (BIM) of the bridge was used as main collector of information for the different stakeholders involved in its management.
- Subjects :
- lcsh:Applied optics. Photonics
Computer science
Process (engineering)
0211 other engineering and technologies
020101 civil engineering
Cloud computing
02 engineering and technology
computer.software_genre
lcsh:Technology
Bridge (nautical)
0201 civil engineering
Load testing
Order (exchange)
021105 building & construction
BIM
Bridge
lcsh:T
business.industry
lcsh:TA1501-1820
Workflow
Risk analysis (engineering)
Building information modeling
lcsh:TA1-2040
Structural health monitoring
lcsh:Engineering (General). Civil engineering (General)
business
computer
Subjects
Details
- ISSN :
- 21949034
- Database :
- OpenAIRE
- Journal :
- The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
- Accession number :
- edsair.doi.dedup.....549039afe551c050c221ae5477926046
- Full Text :
- https://doi.org/10.5194/isprs-archives-xlii-2-w11-995-2019