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Multimodel structural performance monitoring / James-A. Goulet in Journal of structural engineering, Vol. 136 N° 10 (Octobre 2010) 

Public ISBD [article]  in Journal of structural engineering > Vol. 136 N° 10 (Octobre 2010) . - pp. 1309-1318 Titre : Multimodel structural performance monitoring Type de document : texte imprimé Auteurs : James-A. Goulet, Auteur ; Prakash Kripakaran, Auteur ; Ian F. C. Smith, Auteur Année de publication : 2011 Article en page(s) : pp. 1309-1318 Note générale : Génie Civil Langues : Anglais (eng) Mots-clés : Structural  identification  Bridge  behavior  Static  measurement  Multimodel  Data  interpretation  Uncertainties Index. décimale : 624 Constructions du génie civil et du bâtiment. Infrastructures. Ouvrages en terres. Fondations. Tunnels. Ponts et charpentes Résumé : Measurements from load tests may lead to numerical models that better reflect structural behavior. This kind of system identification is not straightforward due to important uncertainties in measurement and models. Moreover, since system identification is an inverse engineering task, many models may fit measured behavior. Traditional model updating methods may not provide the correct behavioral model due to uncertainty and parameter compensation. In this paper, a multimodel approach that explicitly incorporates uncertainties and modeling assumptions is described. The approach samples thousands of models starting from a general parametrized finite-element model. The population of selected candidate models may be used to understand and predict behavior, thereby improving structural management decision making. This approach is applied to measurements from structural performance monitoring of the Langensand Bridge in Lucerne, Switzerland. Predictions from the set of candidate models are homogenous and show an average discrepancy of 4–7% from the displacement measurements. The tests demonstrate the applicability of the multimodel approach for the structural identification and performance monitoring of real structures. The multimodel approach reveals that the Langensand Bridge has a reserve capacity of 30% with respect to serviceability requirements. DEWEY : 624.17 ISSN : 0733-9445 En ligne : http://ascelibrary.org/sto/resource/1/jsendh/v136/i10/p1309_s1?isAuthorized=no [article] Multimodel structural performance monitoring [texte imprimé] / James-A. Goulet, Auteur ; Prakash Kripakaran, Auteur ; Ian F. C. Smith, Auteur . - 2011 . - pp. 1309-1318. Génie Civil Langues : Anglais (eng) in Journal of structural engineering > Vol. 136 N° 10 (Octobre 2010) . - pp. 1309-1318 Mots-clés : Structural  identification  Bridge  behavior  Static  measurement  Multimodel  Data  interpretation  Uncertainties Index. décimale : 624 Constructions du génie civil et du bâtiment. Infrastructures. Ouvrages en terres. Fondations. Tunnels. Ponts et charpentes Résumé : Measurements from load tests may lead to numerical models that better reflect structural behavior. This kind of system identification is not straightforward due to important uncertainties in measurement and models. Moreover, since system identification is an inverse engineering task, many models may fit measured behavior. Traditional model updating methods may not provide the correct behavioral model due to uncertainty and parameter compensation. In this paper, a multimodel approach that explicitly incorporates uncertainties and modeling assumptions is described. The approach samples thousands of models starting from a general parametrized finite-element model. The population of selected candidate models may be used to understand and predict behavior, thereby improving structural management decision making. This approach is applied to measurements from structural performance monitoring of the Langensand Bridge in Lucerne, Switzerland. Predictions from the set of candidate models are homogenous and show an average discrepancy of 4–7% from the displacement measurements. The tests demonstrate the applicability of the multimodel approach for the structural identification and performance monitoring of real structures. The multimodel approach reveals that the Langensand Bridge has a reserve capacity of 30% with respect to serviceability requirements. DEWEY : 624.17 ISSN : 0733-9445 En ligne : http://ascelibrary.org/sto/resource/1/jsendh/v136/i10/p1309_s1?isAuthorized=no