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Decision support framework for bridge condition assessments
Lund University, Sweden.
Lund University, Sweden.
RISE - Research Institutes of Sweden, Built Environment, Building Technology.ORCID iD: 0000-0001-5879-7305
KTH Royal Institute of Technology, Sweden.
2019 (English)In: Structural Safety, ISSN 0167-4730, E-ISSN 1879-3355, Vol. 81, article id 101874Article in journal (Refereed) Epub ahead of print
Abstract [en]

An essential aspect in the maintenance of existing bridges is the ability to adequately and accurately assess and evaluate the condition of the structure. Condition assessments, which can be carried out in any number of ways, provide valuable information concerning the actual state of a bridge, including the severity of potential damages, and form the basis for further maintenance decisions. Any decision support concerning the management of existing structures thus requires attention towards the uncertainties associated with the assessment methods when applied in practice as well as the maintenance actions these support. These uncertainties cannot be solely described as model uncertainties but are also a result of the variation in engineering performance observed in practice. In the current paper a rational and systematic framework is presented which provides practical decision support concerning whether condition assessments are necessary, what assessment methods are recommended, if invasive actions are needed, or if some other non-invasive option may be more appropriate. The framework takes into account three main attributes of an enhanced condition assessment, namely, modelling sophistication, considerations of uncertainties and risks, and knowledge/information content. Increasing the level of one or more of these attributes may be advantageous only if the expected benefits or added value of information is considered appropriate in relation to the cost of implementation in practice. A decision making model, based on Bayesian decision theory, is adopted to evaluate this problem. Two case studies, in which the framework is applied, are provided for illustrative purposes; the first is a generic numerical example and the second a decision scenario related to the fatigue assessment of an existing railway bridge.

Place, publisher, year, edition, pages
2019. Vol. 81, article id 101874
Keywords [en]
Bridge operation and maintenance, Condition assessment, Decision support, Bayesian decision theory, Framework
National Category
Infrastructure Engineering
Identifiers
URN: urn:nbn:se:ri:diva-39709DOI: 10.1016/j.strusafe.2019.101874OAI: oai:DiVA.org:ri-39709DiVA, id: diva2:1341778
Funder
VinnovaSwedish Transport AdministrationAvailable from: 2019-08-11 Created: 2019-08-11 Last updated: 2019-08-12Bibliographically approved

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Publisher's full texthttp://www.sciencedirect.com/science/article/pii/S0167473018300298

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Honfi, Daniel

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