000198257 001__ 198257
000198257 005__ 20181203023457.0
000198257 0247_ $$2doi$$a10.1061/(ASCE)BE.1943-5592.0000619
000198257 022__ $$a1084-0702
000198257 02470 $$2ISI$$a000343998500003
000198257 037__ $$aARTICLE
000198257 245__ $$aImproving Fatigue Evaluations of Structures Using In-Service Behavior Measurement Data
000198257 260__ $$bAmerican Society of Civil Engineers$$c2014$$aReston
000198257 269__ $$a2014
000198257 300__ $$a10
000198257 336__ $$aJournal Articles
000198257 520__ $$aConservative models and code practices are usually employed for fatigue-damage predictions of existing structures. Direct in-service behavior measurements are able to provide more accurate estimations of remaining-fatigue-life predictions. However, these estimations are often accurate only for measured locations and measured load conditions. Behavior models are necessary for exploiting information given by measurements and predicting the fatigue damage at all critical locations and for other load cases. Model-prediction accuracy can be improved using system identification techniques where the properties of structures are inferred using behavior measurements. Building upon recent developments in system identification where both model and measurement uncertainties are considered, this paper presents a new data-interpretation framework for reducing uncertainties related to prediction of fatigue life. An initial experimental investigation confirms that, compared with traditional engineering approaches, the methodology provides a safe and more realistic estimation of the fatigue reserve capacity. A second application on a full-scale bridge also confirms that using load-test data reduces the uncertainty related to remaining-fatigue-life predictions.
000198257 6531_ $$aRemaining fatigue life
000198257 6531_ $$aModel-based data interpretation
000198257 6531_ $$aPopulation of models
000198257 6531_ $$aUncertainty
000198257 6531_ $$aConservatism
000198257 700__ $$0245609$$g175755$$aPasquier, Romain
000198257 700__ $$0242295$$g184665$$aGoulet, James-Alexandre
000198257 700__ $$g111925$$aAcevedo, Claire$$0243061
000198257 700__ $$aSmith, Ian F. C.$$g106443$$0241981
000198257 773__ $$j19$$tJournal of Bridge Engineering$$k11$$q04014045
000198257 8564_ $$uhttp://ascelibrary.org/doi/abs/10.1061/%28ASCE%29BE.1943-5592.0000619$$zURL
000198257 8564_ $$uhttps://infoscience.epfl.ch/record/198257/files/Pasquier_et_al_Postprint-2014-BEENG-1.pdf$$zn/a$$s4283195$$yn/a
000198257 909C0 $$xU10237$$0252031$$pIMAC
000198257 909CO $$ooai:infoscience.tind.io:198257$$particle$$pGLOBAL_SET$$pENAC
000198257 917Z8 $$x175755
000198257 917Z8 $$x175755
000198257 917Z8 $$x175755
000198257 917Z8 $$x175755
000198257 917Z8 $$x188416
000198257 917Z8 $$x113159
000198257 917Z8 $$x106443
000198257 937__ $$aEPFL-ARTICLE-198257
000198257 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000198257 980__ $$aARTICLE