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}
}