Wiener chaos expansions for estimating rain-flow fatigue damage in randomly vibrating structures with uncertain parameters
Artikel i vetenskaplig tidskrift, 2011
The problem of estimating the fatigue damage in randomly vibrating structures with uncertain parameters is considered. The loadings are assumed to be stationary and Gaussian. The corresponding accumulated fatigue damage is described through the rain-flow cycle counting algorithm. For stationary and ergodic loads, the accumulated rain-flow fatigue damage can be estimated if the system and the load spectrum are known. However, these estimates would be erroneous if the structure properties and/or the spectrum parameters of the loading are significantly uncertain. Corrections to account for the parameter uncertainties is usually obtained using the Gauss error propagation formula, and is accurate for small parameter variations. An alternative approach based on Wiener chaos expansions is employed to estimate the rain-flow fatigue damage in linear/nonlinear structural systems with parameter uncertainties. The performance of the proposed approach is compared with the Gauss error propagation formula. The proposed method is illustrated through fatigue damage estimation of three simplified examples involving a moving vehicle on a rough road, Morison's force due to random sea waves and the blade of a wind turbine.
turbines
Vehicular
Wiener chaos
spectrum
life prediction
responses
Wind
Fluid-structure interaction
Gaussian loads
Random fatigue
gaussian loads
bifurcation
Rain-flow damage
airfoils
stall
Morison's force
vibrations
Damage rate
Författare
S. Sarkar
Indian Institute of Technology
S. Gupta
Indian Institute of Technology
Igor Rychlik
Chalmers, Matematiska vetenskaper, Matematisk statistik
Göteborgs universitet
Probabilistic Engineering Mechanics
0266-8920 (ISSN) 18784275 (eISSN)
Vol. 26 2 387-398Ämneskategorier
Beräkningsmatematik
DOI
10.1016/j.probengmech.2010.09.002