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Decision support for bridge condition assessment
RISE - Research Institutes of Sweden, Safety and Transport, Safety.ORCID iD: 0000-0001-5879-7305
KTH Royal Institute of Technology, Sweden.
Lund University, Sweden.
2017 (English)In: SMAR 2017 Proceedings, 2017Conference paper, Published paper (Refereed)
Abstract [en]

The paper presents the first steps of the development of a theoretical framework for a rational yet practical decision making process concerning the condition assessment of existing bridges in Sweden. The main focus is on how to choose the appropriate level of enhanced conditions assessment considering aspects of model sophistication, uncertainty consideration and knowledge content utilisation. A conceptual case study is presented exemplifying how the framework can be used to structure the assessment actions of a steel bridge subjected to fatigue deterioration.

Place, publisher, year, edition, pages
2017.
National Category
Infrastructure Engineering
Identifiers
URN: urn:nbn:se:ri:diva-32708OAI: oai:DiVA.org:ri-32708DiVA, id: diva2:1157913
Conference
4th Conference on Smart monitoring, Assessment and Rehabilitation of Civil Structures
Projects
BIG BRO – Beslutsstöd för rationellt underhåll och uppgradering av befintlig infrastruktur baserat på avancerade utvärderingsmetoder, mätningar och övervakningCOST TU 1402
Funder
Swedish Transport Administration, TRV 2016/35662VINNOVA, 2016-03320Available from: 2017-11-16 Created: 2017-11-16 Last updated: 2017-11-17Bibliographically approved

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http://www.smar-conferences.org/smar/SMAR_2017_Proceedings/papers/323.pdf

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