Journal article
Wind Engineering, vol. 40, 2016 Jun, pp. 189--198
APA
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Ziane, K., Zebirate, S., & Zaitri, A. (2016). Fatigue strength prediction in composite materials of wind turbine blades under dry–wet conditions: {An} artificial neural network approach. Wind Engineering, 40, 189–198. https://doi.org/10.1177/0309524X16641849
Chicago/Turabian
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Ziane, Khaled, Soraya Zebirate, and Adel Zaitri. “Fatigue Strength Prediction in Composite Materials of Wind Turbine Blades under Dry–Wet Conditions: {An} Artificial Neural Network Approach.” Wind Engineering 40 (June 2016): 189–198.
MLA
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Ziane, Khaled, et al. “Fatigue Strength Prediction in Composite Materials of Wind Turbine Blades under Dry–Wet Conditions: {An} Artificial Neural Network Approach.” Wind Engineering, vol. 40, June 2016, pp. 189–98, doi:10.1177/0309524X16641849.
BibTeX Click to copy
@article{ziane2016a,
title = {Fatigue strength prediction in composite materials of wind turbine blades under dry–wet conditions: {An} artificial neural network approach},
year = {2016},
month = jun,
journal = {Wind Engineering},
pages = {189--198},
volume = {40},
doi = {10.1177/0309524X16641849},
author = {Ziane, Khaled and Zebirate, Soraya and Zaitri, Adel},
month_numeric = {6}
}