2012
DOI: 10.1002/we.511
|View full text |Cite
|
Sign up to set email alerts
|

Modal re‐analysis of rotary wind turbine blades in refinement design

Abstract: A modal re‐analysis approach is proposed for refinement designs of rotary wind turbine blades on the basis of matrix perturbation methods. The approach entails effects of stress stiffening, spin softening, uncertainty of material properties and structural modifications of blades. Three perturbation methods are used to conduct the re‐analysis approach, including the standard perturbation method and two improvements proposed by H. C. Hu and S. H. Chen, respectively. Numerical results of a typical wind turbine bl… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2013
2013
2017
2017

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 28 publications
0
1
0
Order By: Relevance
“…The modal under fluid structure interaction was calculated and analyzed through the establishment of a full size fluid structure coupling model by Hu et al [3]. Theoretical analysis and numerical calculation modes of the blade in the different rotation speeds and material paving methods were carried out by Yin et al [4]. Cárdenas et al [5] presented a numerical validation of a thin-walled beam finite element model of a realistic wind turbine blade.…”
Section: Background and Motivationmentioning
confidence: 99%
“…The modal under fluid structure interaction was calculated and analyzed through the establishment of a full size fluid structure coupling model by Hu et al [3]. Theoretical analysis and numerical calculation modes of the blade in the different rotation speeds and material paving methods were carried out by Yin et al [4]. Cárdenas et al [5] presented a numerical validation of a thin-walled beam finite element model of a realistic wind turbine blade.…”
Section: Background and Motivationmentioning
confidence: 99%