Abstract
A wind turbine blade generally has complex structures including several layers of composite materials with shear webs. It is essential but also inherently difficult to accurately and rapidly calculate the crosssectional properties of a complex composite blade for the structural dynamics and aeroelasticity analysis of the blade. In this paper, a novel mathematical model for calculating the crosssectional properties of composite blades has been developed by incorporating classical lamination theory (CLT) with extended BredtBatho shear flow theory (EBSFT). The mathematical model considers the shear web effects and warping effects of composite blades thus greatly improves the accuracy of torsional stiffness calculation compared with the results from direct use of 3D laminate theories. It also avoids complicated postprocessing of forcedisplacement data from computationally expensive 3D finiteelement analysis (FEA) thus considerably improves the computational efficiency. A Matlab program was developed to verify the accuracy and efficiency of the mathematical model and a series of benchmark calculation tests were undertaken. The results show that good agreement is achieved comparing with the data from experiment and FEA, and improved accuracy of torsional stiffness calculation due to consideration of the shear web effects is observed comparing with an existing crosssectional analysis code PreComp.
Original language  English 

Pages (fromto)  5260 
Number of pages  9 
Journal  Renewable Energy 
Volume  64 
Early online date  20 Nov 2013 
DOIs  
Publication status  Published  Apr 2014 
Keywords
 Classical lamination theory (CLT)
 Composite
 Crosssectional analysis
 Extended BredtBatho shear flow theory (EBSFT)
 Mathematical model
 Wind turbine blade
ASJC Scopus subject areas
 Renewable Energy, Sustainability and the Environment
Fingerprint Dive into the research topics of 'A mathematical model for calculating crosssectional properties of modern wind turbine composite blades'. Together they form a unique fingerprint.
Profiles

Lin Wang
 Institute for Future Transport and Cities  Associate
 School of Mechanical, Aerospace and Automotive Engineering  Lecturer in Engineering Design
Person: Teaching and Research