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SHMS-based fatigue reliability analysis of multiloading suspension bridges / Z. W. Chen in Journal of structural engineering, Vol. 138 N° 3 (Mars 2012) 

Public ISBD [article]  in Journal of structural engineering > Vol. 138 N° 3 (Mars 2012) . - pp. 299-307 Titre : SHMS-based fatigue reliability analysis of multiloading suspension bridges Type de document : texte imprimé Auteurs : Z. W. Chen, Auteur ; Xu, Y. L., Auteur ; X. M. Wang, Auteur Année de publication : 2012 Article en page(s) : pp. 299-307 Note générale : Génie Civil Langues : Anglais (eng) Mots-clés : Fatigue  Reliability  Suspension  bridges  Structural  health  monitoring  Wind  loading  Railway  loading  Highway  loading Résumé : Long-span suspension bridges carrying both highway and railway have been built in wind-prone regions. The estimation of fatigue damage of such bridges under the long-term combined action of railway, highway, and wind loading represents a challenging task in consideration of randomness in multiple types of loading. This study presents a framework for fatigue reliability analysis of multiloading long-span suspension bridges equipped with structural health monitoring systems (SHMS), and the Tsing Ma suspension bridge in Hong Kong is taken as a case study. A limit-state function in the daily sum of m-power stress ranges is first defined for fatigue reliability analysis. Probabilistic models of railway, highway, and wind loading are established on the basis of the measurement data acquired from the SHMS. The daily stochastic stress responses induced by the multiple types of loading are simulated at the fatigue-critical locations of the bridge deck by using the finite-element method and Monte Carlo simulation (MCS) together with the loading probabilistic models established. The probability distribution of the daily sum of m-power stress ranges is estimated on the basis of the daily stochastic stress responses. The probability distribution of the sum of m-power stress ranges for a given time period is then evaluated in consideration of future traffic growth patterns. Finally, the fatigue failure probabilities of the bridge at the fatigue-critical locations are calculated for different time periods. The results demonstrate that the health condition of the Tsing Ma Bridge at the end of its design life will be satisfactory under current traffic conditions without growth but that attention should be paid to future traffic growth because it may lead to a much greater fatigue failure probability. DEWEY : 624.17 ISSN : 0733-9445 En ligne : http://ascelibrary.org/sto/resource/1/jsendh/v138/i3/p299_s1?isAuthorized=no [article] SHMS-based fatigue reliability analysis of multiloading suspension bridges [texte imprimé] / Z. W. Chen, Auteur ; Xu, Y. L., Auteur ; X. M. Wang, Auteur . - 2012 . - pp. 299-307. Génie Civil Langues : Anglais (eng) in Journal of structural engineering > Vol. 138 N° 3 (Mars 2012) . - pp. 299-307 Mots-clés : Fatigue  Reliability  Suspension  bridges  Structural  health  monitoring  Wind  loading  Railway  loading  Highway  loading Résumé : Long-span suspension bridges carrying both highway and railway have been built in wind-prone regions. The estimation of fatigue damage of such bridges under the long-term combined action of railway, highway, and wind loading represents a challenging task in consideration of randomness in multiple types of loading. This study presents a framework for fatigue reliability analysis of multiloading long-span suspension bridges equipped with structural health monitoring systems (SHMS), and the Tsing Ma suspension bridge in Hong Kong is taken as a case study. A limit-state function in the daily sum of m-power stress ranges is first defined for fatigue reliability analysis. Probabilistic models of railway, highway, and wind loading are established on the basis of the measurement data acquired from the SHMS. The daily stochastic stress responses induced by the multiple types of loading are simulated at the fatigue-critical locations of the bridge deck by using the finite-element method and Monte Carlo simulation (MCS) together with the loading probabilistic models established. The probability distribution of the daily sum of m-power stress ranges is estimated on the basis of the daily stochastic stress responses. The probability distribution of the sum of m-power stress ranges for a given time period is then evaluated in consideration of future traffic growth patterns. Finally, the fatigue failure probabilities of the bridge at the fatigue-critical locations are calculated for different time periods. The results demonstrate that the health condition of the Tsing Ma Bridge at the end of its design life will be satisfactory under current traffic conditions without growth but that attention should be paid to future traffic growth because it may lead to a much greater fatigue failure probability. DEWEY : 624.17 ISSN : 0733-9445 En ligne : http://ascelibrary.org/sto/resource/1/jsendh/v138/i3/p299_s1?isAuthorized=no