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A practical approach for supporting decisions in bridge condition assessment and monitoring

A practical approach for supporting decisions in bridge condition assessment and monitoring
Auteur(s): ORCID, , ORCID,
Présenté pendant IABSE Congress: The Evolving Metropolis, New York, NY, USA, 4-6 September 2019, publié dans , pp. 2136-2141
DOI: 10.2749/newyork.2019.2136
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In this contribution a practical and rational decision-making approach is presented to be applied for common bridges typically managed by public authorities. The authors have developed a model with...
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Détails bibliographiques

Auteur(s): ORCID (RISE Research Institutes of Sweden)
(KTH Royal Institute of Technology)
ORCID (Lund University)
(Lund University)
Médium: papier de conférence
Langue(s): anglais
Conférence: IABSE Congress: The Evolving Metropolis, New York, NY, USA, 4-6 September 2019
Publié dans:
Page(s): 2136-2141 Nombre total de pages (du PDF): 6
Page(s): 2136-2141
Nombre total de pages (du PDF): 6
DOI: 10.2749/newyork.2019.2136
Abstrait:

In this contribution a practical and rational decision-making approach is presented to be applied for common bridges typically managed by public authorities. The authors have developed a model with the intention to be applicable for practical cases for common bridges in the daily work of bride operators responsible for a large number of assets, yet still maintain the principles of more generic frameworks based on probabilistic decision-theory.

Three main attributes of the verification of sufficiency of structural performance are considered, namely: 1) the level of sophistication of modelling performance, 2) the degree of verification and acceptance criteria in terms of dealing with uncertainties and consequences, 3) the extent of information is obtained and incorporated in the verification.

The simplicity of the approach is demonstrated through an illustrative case study inspired by practical condition assessment decision problems. It is argued that in practical cases it may be desirable to utilize less advanced methods owing to constraints in resources or lack of reliable data (e.g. based on structural health monitoring or other on-site measurement techniques).

Mots-clé:
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