The state-of-the-art review on energy harvesting from flow-induced vibrations
In this paper, the currently popular flow-induced vibrations energy harvesting technologies
are reviewed, including numerical and experimental endeavors, and some existing or …
are reviewed, including numerical and experimental endeavors, and some existing or …
[HTML][HTML] A technical review of computational fluid dynamics (CFD) applications on wind design of tall buildings and structures: Past, present and future
Over the past two decades, an upsurge in using Computational Fluid Dynamics (CFD) for
wind design on tall buildings has been observed. An extensive amount of work has been …
wind design on tall buildings has been observed. An extensive amount of work has been …
Implementing ensemble learning methods to predict the shear strength of RC deep beams with/without web reinforcements
This paper presents a practical yet comprehensive implementation of the ensemble methods
for prediction of the shear strength for reinforced concrete deep beams with/without web …
for prediction of the shear strength for reinforced concrete deep beams with/without web …
Applicability analysis of transformer to wind speed forecasting by a novel deep learning framework with multiple atmospheric variables
Accurate wind speed forecasting plays a crucial role in the efficient and economical
management of power supply systems. In this study, a novel framework combining …
management of power supply systems. In this study, a novel framework combining …
Deep learning-based investigation of wind pressures on tall building under interference effects
Interference effects of tall buildings have attracted numerous studies due to the boom of
clusters of buildings in megacities. To fully understand the interference effects, it often …
clusters of buildings in megacities. To fully understand the interference effects, it often …
[HTML][HTML] Explainable Machine Learning (XML) to predict external wind pressure of a low-rise building in urban-like settings
This study used explainable machine learning (XML), a new branch of Machine Learning
(ML), to elucidate how ML models make predictions. Three tree-based regression models …
(ML), to elucidate how ML models make predictions. Three tree-based regression models …
Prediction of the sulfate resistance for recycled aggregate concrete based on ensemble learning algorithms
K Liu, Z Dai, R Zhang, J Zheng, J Zhu… - Construction and Building …, 2022 - Elsevier
Recycled aggregate concrete (RAC) has been acknowledged as an effective way to achieve
green building and meet the sustainable development goal. Understanding its durability …
green building and meet the sustainable development goal. Understanding its durability …
Machine learning based prediction of piezoelectric energy harvesting from wake galloping
Wake galloping is a phenomenon of aerodynamic instability and has vast potential in energy
harvesting. This paper investigates the vibration response of wake galloping piezoelectric …
harvesting. This paper investigates the vibration response of wake galloping piezoelectric …
Applications of machine learning to wind engineering
Advances of the analytical, numerical, experimental and field-measurement approaches in
wind engineering offers unprecedented volume of data that, together with rapidly evolving …
wind engineering offers unprecedented volume of data that, together with rapidly evolving …
Classification prediction of breast cancer based on machine learning
H Chen, N Wang, X Du, K Mei… - Computational …, 2023 - Wiley Online Library
Breast cancer is the most common and deadly type of cancer in the world. Based on
machine learning algorithms such as XGBoost, random forest, logistic regression, and K …
machine learning algorithms such as XGBoost, random forest, logistic regression, and K …