Cargando…
PSO-BP Neural Network-Based Strain Prediction of Wind Turbine Blades
The full-scale static testing of wind turbine blades is an effective means to verify the accuracy and rationality of the blade design, and it is an indispensable part in the blade certification process. In the full-scale static experiments, the strain of the wind turbine blade is related to the appl...
Autores principales: | Liu, Xin, Liu, Zheng, Liang, Zhongwei, Zhu, Shun-Peng, Correia, José A. F. O., De Jesus, Abílio M. P. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6632004/ https://www.ncbi.nlm.nih.gov/pubmed/31212753 http://dx.doi.org/10.3390/ma12121889 |
Ejemplares similares
-
Materials for Wind Turbine Blades: An Overview
por: Mishnaevsky, Leon, et al.
Publicado: (2017) -
Advances in wind turbine blade design and materials
por: Brøndsted, Povl, et al.
Publicado: (2013) -
Multiobjective Optimization of Composite Wind Turbine Blade
por: Jureczko, Mariola, et al.
Publicado: (2022) -
Structural Testing by Torsion of Scalable Wind Turbine Blades
por: Morăraș, Ciprian Ionuț, et al.
Publicado: (2022) -
UWB Wind Turbine Blade Deflection Sensing for Wind Energy Cost Reduction
por: Zhang, Shuai, et al.
Publicado: (2015)