[article]
Titre : |
Mitigating epistemic uncertainty in structural identification: case study for a long-span steel arch bridge |
Type de document : |
texte imprimé |
Auteurs : |
Qin Pan, Auteur ; Kirk Grimmelsman, Auteur ; Franklin Moon, Auteur |
Année de publication : |
2011 |
Article en page(s) : |
pp. 1-13 |
Note générale : |
Génie Civil |
Langues : |
Anglais (eng) |
Mots-clés : |
Bridge Identification Field test Finite-element modeling Uncertainty |
Index. décimale : |
624 Constructions du génie civil et du bâtiment. Infrastructures. Ouvrages en terres. Fondations. Tunnels. Ponts et charpentes |
Résumé : |
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.
|
DEWEY : |
624.17 |
ISSN : |
0733-9445 |
En ligne : |
http://ascelibrary.org/sto/resource/1/jsendh/v137/i1/p1_s1?isAuthorized=no |
in Journal of structural engineering > Vol. 137 N° 1 (Janvier 2011) . - pp. 1-13
[article] Mitigating epistemic uncertainty in structural identification: case study for a long-span steel arch bridge [texte imprimé] / Qin Pan, Auteur ; Kirk Grimmelsman, Auteur ; Franklin Moon, Auteur . - 2011 . - pp. 1-13. Génie Civil Langues : Anglais ( eng) in Journal of structural engineering > Vol. 137 N° 1 (Janvier 2011) . - pp. 1-13
Mots-clés : |
Bridge Identification Field test Finite-element modeling Uncertainty |
Index. décimale : |
624 Constructions du génie civil et du bâtiment. Infrastructures. Ouvrages en terres. Fondations. Tunnels. Ponts et charpentes |
Résumé : |
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.
|
DEWEY : |
624.17 |
ISSN : |
0733-9445 |
En ligne : |
http://ascelibrary.org/sto/resource/1/jsendh/v137/i1/p1_s1?isAuthorized=no |
|