Identification of Wind Load Exerted on the Jacket Wind Turbines from Optimally Placed Strain Gauges Using C-Optimal Design and Mathematical Model Reduction
F Zhu, M Zhang, F Ma, Z Li, X Qu - Journal of Marine Science and …, 2024 - mdpi.com
Wind turbine towers experience complex dynamic loads during actual operation, and these
loads are difficult to accurately predict in advance, which may lead to inaccurate structural …
loads are difficult to accurately predict in advance, which may lead to inaccurate structural …
Predictive modeling of shear strength in fiber-reinforced cementitious matrix-strengthened RC beams using machine learning
This study investigates the predictive modeling of shear strength in fiber-reinforced
cementitious matrix (FRCM)-strengthened reinforced concrete (RC) beams through a …
cementitious matrix (FRCM)-strengthened reinforced concrete (RC) beams through a …
[HTML][HTML] Concrete Aging Factor Prediction Using Machine Learning
Accurate prediction of concrete aging factor is pivotal for performance-based durability
reinforced concrete design. This study introduces an innovative method leveraging machine …
reinforced concrete design. This study introduces an innovative method leveraging machine …
ANN‐based analysis of the effect of SCM on recycled aggregate concrete
CH Mosquera, MP Acosta, WA Rodríguez… - Structural … - Wiley Online Library
Rising environmental awareness has prompted in‐depth studies on how the concrete
industry affects the environment. Using recycled concrete aggregates (RCAs) and …
industry affects the environment. Using recycled concrete aggregates (RCAs) and …