Academic Journal
A global framework for data-informed bridge examination.
| Title: | A global framework for data-informed bridge examination. |
|---|---|
| Authors: | Bertola, Numa, Schiltz, Philippe, Brühwiler, Eugen |
| Source: | Structure & Infrastructure Engineering: Maintenance, Management, Life-Cycle Design & Performance; Mar2026, Vol. 22 Issue 3, p470-489, 20p |
| Subject Terms: | Bridge inspection, Structural reliability, Concrete bridges, Deterioration of materials, Structural health monitoring, Structural frames, Nondestructive testing, Decision making |
| Abstract: | Examining the performance of an existing bridge requires information on several aspects, such as design choices, material properties, and ongoing degradation processes. It often happens that some critical information is not available. The traditional approach in structural engineering is to take the most conservative assumption for each unknown, following new-design principles. It will often be concluded that structural safety is not ensured and that the bridge must be strengthened or replaced. This conclusion has important economic costs, impacts on users, and environmental burden associated. In this paper, a global data-informed framework is proposed to examine structural safety of existing bridges accurately. Multiple state-of-the-art methodologies are unified to provide a comprehensive framework for bridge examination. Observations, which can include visual inspection, non-destructive testing, and structural sensing, enable the development of more realistic models of structural behaviour. A case study of a reinforced-concrete bridge in Switzerland illustrates the potential of the novel framework. Although almost no information was initially available on the bridge, the monitoring results show that it can be rationally concluded that the bridge is safe. This framework supports engineers in examining existing structures when crucial information is missing based on observations and engineering judgment. [ABSTRACT FROM AUTHOR] |
| Copyright of Structure & Infrastructure Engineering: Maintenance, Management, Life-Cycle Design & Performance is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Complementary Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edb DbLabel: Complementary Index An: 192043929 RelevancyScore: 1061 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 1060.7568359375 |
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| Items | – Name: Title Label: Title Group: Ti Data: A global framework for data-informed bridge examination. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Bertola%2C+Numa%22">Bertola, Numa</searchLink><br /><searchLink fieldCode="AR" term="%22Schiltz%2C+Philippe%22">Schiltz, Philippe</searchLink><br /><searchLink fieldCode="AR" term="%22Brühwiler%2C+Eugen%22">Brühwiler, Eugen</searchLink> – Name: TitleSource Label: Source Group: Src Data: Structure & Infrastructure Engineering: Maintenance, Management, Life-Cycle Design & Performance; Mar2026, Vol. 22 Issue 3, p470-489, 20p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Bridge+inspection%22">Bridge inspection</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+reliability%22">Structural reliability</searchLink><br /><searchLink fieldCode="DE" term="%22Concrete+bridges%22">Concrete bridges</searchLink><br /><searchLink fieldCode="DE" term="%22Deterioration+of+materials%22">Deterioration of materials</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+health+monitoring%22">Structural health monitoring</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+frames%22">Structural frames</searchLink><br /><searchLink fieldCode="DE" term="%22Nondestructive+testing%22">Nondestructive testing</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Examining the performance of an existing bridge requires information on several aspects, such as design choices, material properties, and ongoing degradation processes. It often happens that some critical information is not available. The traditional approach in structural engineering is to take the most conservative assumption for each unknown, following new-design principles. It will often be concluded that structural safety is not ensured and that the bridge must be strengthened or replaced. This conclusion has important economic costs, impacts on users, and environmental burden associated. In this paper, a global data-informed framework is proposed to examine structural safety of existing bridges accurately. Multiple state-of-the-art methodologies are unified to provide a comprehensive framework for bridge examination. Observations, which can include visual inspection, non-destructive testing, and structural sensing, enable the development of more realistic models of structural behaviour. A case study of a reinforced-concrete bridge in Switzerland illustrates the potential of the novel framework. Although almost no information was initially available on the bridge, the monitoring results show that it can be rationally concluded that the bridge is safe. This framework supports engineers in examining existing structures when crucial information is missing based on observations and engineering judgment. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Structure & Infrastructure Engineering: Maintenance, Management, Life-Cycle Design & Performance is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/15732479.2024.2337088 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 470 Subjects: – SubjectFull: Bridge inspection Type: general – SubjectFull: Structural reliability Type: general – SubjectFull: Concrete bridges Type: general – SubjectFull: Deterioration of materials Type: general – SubjectFull: Structural health monitoring Type: general – SubjectFull: Structural frames Type: general – SubjectFull: Nondestructive testing Type: general – SubjectFull: Decision making Type: general Titles: – TitleFull: A global framework for data-informed bridge examination. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bertola, Numa – PersonEntity: Name: NameFull: Schiltz, Philippe – PersonEntity: Name: NameFull: Brühwiler, Eugen IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 15732479 Numbering: – Type: volume Value: 22 – Type: issue Value: 3 Titles: – TitleFull: Structure & Infrastructure Engineering: Maintenance, Management, Life-Cycle Design & Performance Type: main |
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