Articles | Volume 2, issue 2
https://doi.org/10.5194/wes-2-653-2017
https://doi.org/10.5194/wes-2-653-2017
Research article
 | 
19 Dec 2017
Research article |  | 19 Dec 2017

Effects of defects in composite wind turbine blades – Part 2: Progressive damage modeling of fiberglass-reinforced epoxy composites with manufacturing-induced waves

Jared W. Nelson, Trey W. Riddle, and Douglas S. Cairns

Related authors

Effects of defects in composite wind turbine blades – Part 3: A framework for treating defects as uncertainty variables for blade analysis
Trey W. Riddle, Jared W. Nelson, and Douglas S. Cairns
Wind Energ. Sci., 3, 107–120, https://doi.org/10.5194/wes-3-107-2018,https://doi.org/10.5194/wes-3-107-2018, 2018
Short summary
Effects of defects in composite wind turbine blades – Part 1: Characterization and mechanical testing
Jared W. Nelson, Trey W. Riddle, and Douglas S. Cairns
Wind Energ. Sci., 2, 641–652, https://doi.org/10.5194/wes-2-641-2017,https://doi.org/10.5194/wes-2-641-2017, 2017
Short summary

Related subject area

Material science and structural mechanics
A symbolic framework to obtain mid-fidelity models of flexible multibody systems with application to horizontal-axis wind turbines
Emmanuel Branlard and Jens Geisler
Wind Energ. Sci., 7, 2351–2371, https://doi.org/10.5194/wes-7-2351-2022,https://doi.org/10.5194/wes-7-2351-2022, 2022
Short summary
Wind turbine main-bearing lubrication – Part 1: An introductory review of elastohydrodynamic lubrication theory
Edward Hart, Elisha de Mello, and Rob Dwyer-Joyce
Wind Energ. Sci., 7, 1021–1042, https://doi.org/10.5194/wes-7-1021-2022,https://doi.org/10.5194/wes-7-1021-2022, 2022
Short summary
Seismic soil–structure interaction analysis of wind turbine support structures using augmented complex mode superposition response spectrum method
Masaru Kitahara and Takeshi Ishihara
Wind Energ. Sci., 7, 1007–1020, https://doi.org/10.5194/wes-7-1007-2022,https://doi.org/10.5194/wes-7-1007-2022, 2022
Short summary
Model updating of a wind turbine blade finite element Timoshenko beam model with invertible neural networks
Pablo Noever-Castelos, David Melcher, and Claudio Balzani
Wind Energ. Sci., 7, 623–645, https://doi.org/10.5194/wes-7-623-2022,https://doi.org/10.5194/wes-7-623-2022, 2022
Short summary
Validation of a modeling methodology for wind turbine rotor blades based on a full-scale blade test
Pablo Noever-Castelos, Bernd Haller, and Claudio Balzani
Wind Energ. Sci., 7, 105–127, https://doi.org/10.5194/wes-7-105-2022,https://doi.org/10.5194/wes-7-105-2022, 2022
Short summary

Cited articles

Abaqus Software and Abaqus Documentation: v. 6.12; Dassault Systemes Simulia Corp, Providence, RI, 2012.
Adams, D. O. and Bell, S. J.: Compression strength reductions in composite laminates due to multiple-layer waviness, Compos. Sci. Technol., 53, 207–212, 1995.
Adams, D. O. and Hyer, M. W.: Effects of layer waviness on the compression strength of thermoplastic composite laminates, J. Reinf. Plast. Comp., 12, 414–429, 1993.
Allen, D. H. and Searcy, C. R.: A micromechanical model for a viscoelastic cohesive zone, Int. J. Fracture, 107, 159–176, 2001.
Areias, P. and Belytschko, T.: Analysis of three-dimensional crack initiation and propagation using the extended finite element method, Int. J. Numer. Meth. Eng., 63, 760–788, 2005.
Short summary
The Blade Reliability Collaborative was formed to address wind turbine blade reliability. To better understand and predict these effects, various progressive damage modeling approaches, built upon the characterization previously addressed, were investigated. The results indicate that a combined continuum–discrete approach provides insight into reliability with known defects when used in conjunction with a probabilistic flaw framework.
Altmetrics
Final-revised paper
Preprint