Fatigue Life Prediction of Aluminum Alloy 6063 for Vertical Axis Wind Turbine Application Blade Application

Jump to: navigation, search



Vertical axis wind turbine (VAWT) blades are fatigue-critical parts that must endure at least one billion stress cycles within their design life. Integrated computational materials engineering (ICME) methodology is used in combination with the Mississippi State UniversityInternal State Variable (MSU-ISV) plasticity-damage model and MultiStage Fatigue (MSF) model to predict the fatigue life of VAWT blades manufactured from extruded aluminum alloy 6063. Multiscale modeling is implemented at various length scales and the MSU-ISV model is used to establish the stress state of the blade, which is passed on to the MSF model to calculate fatigue life. Results from this analysis can be used to optimize the design life of aluminum alloys made for VAWT blade applications.


Material Structure and Properties

Integrated computational materials engineering (ICME)

MultiStage Fatigue (MSF) Model

Downscaling Requirements and Upscaling Results


“ALCOA 6063 Material Data Sheet.” Scribd, Scribd,es.scribd.com/document/206631152/ALCOA-6063-Material-Data-Sheet.

“Atlas of Fatigue Curves.” Scribd, Scribd, www.scribd.com/doc/94117177/Atlas-of-FatigueCurves.

Ashwill, Thomas D., et al. “A Retrospective of VAWT Technology.” 2012, doi:10.2172/1035336.

Bou-Zeid, E., Cortina, G., Dabiri, J., Hezaveh, H. S., , Kinzel, M., Martinelli, L. (2017) Increasing VAWT Wind Farm Power Density using Synergistic Clustering.

Horstemeyer, M.F., 2012. Integrated Computational Materials Engineering (ICME) for Metals: Using Multiscale Modeling to Invigorate Engineering Design with Science. John Wiley & Sons.

Horstemeyer, Mark F. Integrated Computational Materials Engineering (ICME) for Metals: Concepts and Case Studies. John Wiley & Sons, Inc., 2018.

Huddleston, B., et al. “Characterization and Modeling of the Fatigue Behavior of 304L Stainless Steel Using the MultiStage Fatigue (MSF) Model.” 2018.

McDowell, D.L., Gall, K., Horstemeyer, M.F., Fan, J., 2003. Microstructure-based fatigue modeling of cast A356-T6 alloy. Eng. Fract. Mech. 70, 49–80.

McMahon, J. (2017). Small Turbines Can Outperform Conventional Wind Farms, Stanford Prof Says, With No Bird Kill. Forbes.

Muzyk, M., et al. “Ab Initio Calculations of the Generalized Stacking Fault Energy in Aluminium Alloys.” Scripta Materialia, vol. 64, no. 9, 2011, pp. 916–918., doi:10.1016/j.scriptamat.2011.01.034.

Nunes, R. et al. ASM Handbook. Nonferreous Alloys and Special-Purpose Materials. ASM International, 1991.

Stephens, R. I. et al. (2000). Metal Fatigue in Engineering. 2nd ed. John Wiley & Sons, Inc.

Sundstrom, Robert. “High Cycle Fatigue Properties of Extruded 6060-T6, 6063-T6 and 6082-T6.” 2018.

Sutherland, Herbert J. “A Summary of the Fatigue Properties of Wind Turbine Materials.” Wind Energy, vol. 3, no. 1, 2000, pp. 1–34., doi:10.1002/1099-1824(200001/03)3:13.0.co;2-2.

Wu, Xiao-Zhi, et al. “Ab Initio Calculations of Generalized-Stacking-Fault Energy Surfaces and Surface Energies for FCC Metals.” Applied Surface Science, vol. 256, no. 21, 2010, pp. 6345–6349., doi:10.1016/j.apsusc.2010.04.014.

Personal tools

Material Models