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**Harvard**

Venkatesh, S., Sarkar, S. och Rychlik, I. (2013) *Uncertainties in damage prediction of wind turbine blade under random gust*. (Preprint - Department of Mathematical Sciences, Chalmers University of Technology and Göteborg University, nr: 2013:6).

** BibTeX **

@unpublished{

Venkatesh2013,

author={Venkatesh, S. and Sarkar, Sunetra and Rychlik, Igor},

title={Uncertainties in damage prediction of wind turbine blade under random gust},

abstract={In the design of wind turbine structures, aeroelastic stability is
of utmost importance. The bending-torsion oscillation problem of
a representative rotor blade section with structural nonlinearity has
been considered. The system is subjected to horizontal random gust
modeled as a stationary process. Uncertainty quantifiation in high-
lighting the relative importance of different sources of uncertainty on
aeroelastic system stability, consequently its fatigue and failure is a
crucial step of aeroelastic design. Effect of different sources of un-
certainty on the fatigue damage estimate of the blade are studied in
the present aeroelastic problem. The effect of the following on the
fatigue damage estimate of the blade is reported in this work, struc-
tural parameter, choice of aeroelastic model (modeling error) and also
the stress selection criteria for the damage estimate. The structural
parameter randomness is modeled through polynomial chaos expan-
sion in analyzing its effect on the damage estimate. The unsteady
inviscid ow-field in the aeroelastic model is resolved analytically and
also using a higher fidelity vortex lattice algorithm and the relative
effect on damage is seen. Finally, the effect of fatigue damage criteria
selection is also observed. The damage calculation is done for torsion
only, bending only and also for multiaxial stress situations. Multiax-
ial stresses are converted to an `equivalent' one by using a signed von
Mises criterion. A linear damage accumulation rule has been used to
estimate the risk for fatigue damage.},

year={2013},

series={Preprint - Department of Mathematical Sciences, Chalmers University of Technology and Göteborg University, no: 2013:6},

note={34 s.},

}

** RefWorks **

RT Unpublished Material

SR Electronic

ID 175932

A1 Venkatesh, S.

A1 Sarkar, Sunetra

A1 Rychlik, Igor

T1 Uncertainties in damage prediction of wind turbine blade under random gust

YR 2013

AB In the design of wind turbine structures, aeroelastic stability is
of utmost importance. The bending-torsion oscillation problem of
a representative rotor blade section with structural nonlinearity has
been considered. The system is subjected to horizontal random gust
modeled as a stationary process. Uncertainty quantifiation in high-
lighting the relative importance of different sources of uncertainty on
aeroelastic system stability, consequently its fatigue and failure is a
crucial step of aeroelastic design. Effect of different sources of un-
certainty on the fatigue damage estimate of the blade are studied in
the present aeroelastic problem. The effect of the following on the
fatigue damage estimate of the blade is reported in this work, struc-
tural parameter, choice of aeroelastic model (modeling error) and also
the stress selection criteria for the damage estimate. The structural
parameter randomness is modeled through polynomial chaos expan-
sion in analyzing its effect on the damage estimate. The unsteady
inviscid ow-field in the aeroelastic model is resolved analytically and
also using a higher fidelity vortex lattice algorithm and the relative
effect on damage is seen. Finally, the effect of fatigue damage criteria
selection is also observed. The damage calculation is done for torsion
only, bending only and also for multiaxial stress situations. Multiax-
ial stresses are converted to an `equivalent' one by using a signed von
Mises criterion. A linear damage accumulation rule has been used to
estimate the risk for fatigue damage.

T3 Preprint - Department of Mathematical Sciences, Chalmers University of Technology and Göteborg University, no: 2013:6

LA eng

LK http://www.math.chalmers.se/Math/Research/Preprints/2013/6.pdf

OL 30