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Titre :
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Mitigating epistemic uncertainty in structural identification: case study for a long-span steel arch bridge (2011)
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Auteurs :
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Qin Pan, Auteur ;
Kirk Grimmelsman, Auteur ;
Franklin Moon, Auteur
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Type de document :
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Article : texte imprimé
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Dans :
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Journal of structural engineering (Vol. 137 N° 1, Janvier 2011)
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Article en page(s) :
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pp. 1-13
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Note générale :
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Génie Civil
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Langues :
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Anglais
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Index. décimale :
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624 (Constructions du génie civil et du bâtiment. Infrastructures. Ouvrages en terres. Fondations. Tunnels. Ponts et charpentes)
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Tags :
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Bridge Identification Field test Finite-element modeling Uncertainty
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Résumé :
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Characterization of constructed civil-engineering systems through structural identification (St-Id) has gained increasing attention in recent years due to its potential to enable more effective infrastructure asset management and performance-based engineering. Although there have been recent advances that mitigate the challenges posed by aleatory (random) uncertainty, there are many remaining challenges associated with epistemic (bias) uncertainty that often have a more critical impact on the reliability of St-Id (especially with applications to constructed systems). The objective of this paper is to illustrate various sources of epistemic uncertainty and describe mitigation approaches by detailing the St-Id of a long-span steel arch bridge. This application includes a priori modeling, ambient vibration monitoring, data processing, feature extraction, and finite-element (FE) model correlation. Following a description of the St-Id, the impact of various modeling uncertainties on the calibrated FE model is evaluated by comparing different identification scenarios. Finally, a simple and rational approach to “truth testing” the identified model is developed and employed to determine its admissibility.
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DEWEY :
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624.17
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ISSN :
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0733-9445
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En ligne :
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http://ascelibrary.org/sto/resource/1/jsendh/v137/i1/p1_s1?isAuthorized=no
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