000013212 001__ 13212
000013212 005__ 20161114160332.0
000013212 04107 $$aeng
000013212 046__ $$k2009-06-22
000013212 100__ $$aPapadimitriou, C.
000013212 24500 $$aFatigue lifetime estimation in structures using ambient vibration measurements

000013212 24630 $$n2.$$pComputational Methods in Structural Dynamics and Earhquake Engineering
000013212 260__ $$bNational Technical University of Athens, 2009
000013212 506__ $$arestricted
000013212 520__ $$2eng$$aA methodology is proposed for estimating damage accumulation due to fatigue in the entire body of a metallic structure using output-only vibration measurements from a sensor network installed at a limited number of structural locations. This method can also be seen as a tool for a life-time prognosis within SHM concepts. Available frequency domain stochastic fatigue methods based on Miner’s damage rule, S-N fatigue cycle curves and Dirlik’s probability distribution of the stress range are used to predict the expected fatigue accumulation of the structure in terms of the power spectral density of the stress processes. In predicting the damage and fatigue lifetime, it is assumed that the unmeasured excitations can be modeled by stationary stochastic processes. The power spectral densities of stresses at unmeasured locations are estimated from the response time history measurements available at the limited measured locations using Kalman filter and a model of the structure. The proposed formulation is demonstrated using a MDOF spring-mass chain model arising from structures that consist of members with uni-axial stress states.

000013212 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000013212 653__ $$aStochastic Fatigue, Damage Accumulation, Prognosis, Kalman Filter, Stochastic Dynamics, Spectral Methods. Abstract. A methodology is proposed for estimating damage accumulation due to fatigue in the entire body of a metallic structure using output-only vibration measurements from a sensor network installed at a limited number of structural locations. This method can also be seen as a tool for a life-time prognosis within SHM concepts. Available frequency domain stochastic fatigue methods based on Miner’s damage rule, S-N fatigue cycle curves and Dirlik’s probability distribution of the stress range are used to predict the expected fatigue accumulation of the structure in terms of the power spectral density of the stress processes. In predicting the damage and fatigue lifetime, it is assumed that the unmeasured excitations can be modeled by stationary stochastic processes. The power spectral densities of stresses at unmeasured locations are estimated from the response time history measurements available at the limited measured locations using Kalman filter and a model of the structure. The proposed formulation is demonstrated using a MDOF spring-mass chain model arising from structures that consist of members with uni-axial stress states.

000013212 7112_ $$aCOMPDYN 2009 - 2nd International Thematic Conference$$cIsland of Rhodes (GR)$$d2009-06-22 / 2009-06-24$$gCOMPDYN2009
000013212 720__ $$aPapadimitriou, C.$$iFritzen C., P.$$iKraemer, P.$$iNtotsios, E.
000013212 8560_ $$ffischerc@itam.cas.cz
000013212 8564_ $$s495333$$uhttps://invenio.itam.cas.cz/record/13212/files/CD292.pdf$$yOriginal version of the author's contribution as presented on CD, section: Uncertainty and reliability in computational structural dynamics - ii (MS).
000013212 962__ $$r13074
000013212 980__ $$aPAPER