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Title: An evaluation of wind turbine blade cross section analysis techniques.

Abstract

The blades of a modern wind turbine are critical components central to capturing and transmitting most of the load experienced by the system. They are complex structural items composed of many layers of fiber and resin composite material and typically, one or more shear webs. Large turbine blades being developed today are beyond the point of effective trial-and-error design of the past and design for reliability is always extremely important. Section analysis tools are used to reduce the three-dimensional continuum blade structure to a simpler beam representation for use in system response calculations to support full system design and certification. One model simplification approach is to analyze the two-dimensional blade cross sections to determine the properties for the beam. Another technique is to determine beam properties using static deflections of a full three-dimensional finite element model of a blade. This paper provides insight into discrepancies observed in outputs from each approach. Simple two-dimensional geometries and three-dimensional blade models are analyzed in this investigation. Finally, a subset of computational and experimental section properties for a full turbine blade are compared.

Authors:
; ; ;
Publication Date:
Research Org.:
Sandia National Laboratories
Sponsoring Org.:
USDOE
OSTI Identifier:
990040
Report Number(s):
SAND2010-1825C
TRN: US201020%%103
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the 51st AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference held April 12-15, 2010 in Orlando, FL.
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; 36 MATERIALS SCIENCE; COMPOSITE MATERIALS; CROSS SECTIONS; DESIGN; EVALUATION; FIBERS; RELIABILITY; RESINS; SHEAR; TURBINE BLADES; WIND TURBINES

Citation Formats

Paquette, Joshua A., Griffith, Daniel Todd, Laird, Daniel L., and Resor, Brian Ray. An evaluation of wind turbine blade cross section analysis techniques.. United States: N. p., 2010. Web.
Paquette, Joshua A., Griffith, Daniel Todd, Laird, Daniel L., & Resor, Brian Ray. An evaluation of wind turbine blade cross section analysis techniques.. United States.
Paquette, Joshua A., Griffith, Daniel Todd, Laird, Daniel L., and Resor, Brian Ray. Mon . "An evaluation of wind turbine blade cross section analysis techniques.". United States.
@article{osti_990040,
title = {An evaluation of wind turbine blade cross section analysis techniques.},
author = {Paquette, Joshua A. and Griffith, Daniel Todd and Laird, Daniel L. and Resor, Brian Ray},
abstractNote = {The blades of a modern wind turbine are critical components central to capturing and transmitting most of the load experienced by the system. They are complex structural items composed of many layers of fiber and resin composite material and typically, one or more shear webs. Large turbine blades being developed today are beyond the point of effective trial-and-error design of the past and design for reliability is always extremely important. Section analysis tools are used to reduce the three-dimensional continuum blade structure to a simpler beam representation for use in system response calculations to support full system design and certification. One model simplification approach is to analyze the two-dimensional blade cross sections to determine the properties for the beam. Another technique is to determine beam properties using static deflections of a full three-dimensional finite element model of a blade. This paper provides insight into discrepancies observed in outputs from each approach. Simple two-dimensional geometries and three-dimensional blade models are analyzed in this investigation. Finally, a subset of computational and experimental section properties for a full turbine blade are compared.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2010},
month = {3}
}

Conference:
Other availability
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