期刊
STRUCTURAL CONTROL & HEALTH MONITORING
卷 18, 期 5, 页码 554-573出版社
WILEY-BLACKWELL
DOI: 10.1002/stc.395
关键词
life prediction; stochastic fatigue; dynamic analysis; spectral methods; Kalman filter
资金
- Greek National Scholarship Foundation (IKY)
- Deutscher Akademischer Austausch Dienst (DAAD, German Academic Exchange Service)
- Greek Ministry of Development (General Secretariat of Research and Technology) [03-ED-524]
- E.U.
- European Social Fund
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. Available frequency domain stochastic fatigue methods based on Palmgren-Miner damage rule, S-N fatigue curves on simple specimens subjected to constant amplitude loads, and Dirlik's probability distribution of the stress range are used to predict the expected fatigue damage accumulation of the structure in terms of the power spectral density (PSD) of the stress processes. The PSD of stresses at unmeasured locations are estimated from the response time history measurements available at the limited measured locations using Kalman filter and a dynamic model of the structure. The effectiveness and accuracy of the proposed formulation is demonstrated using a multidegree-of-freedom spring-mass chain model and a two-dimensional truss model arising from structures that consist of members with uniaxial stress states. Copyright (C) 2010 John Wiley & Sons, Ltd.
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