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 …
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 …
W Jiang, B Liu, Y Liang, H Gao, P Lin, D Zhang, G Hu - Applied Energy, 2024 - Elsevier
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 …
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 …
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 …
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 …
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 …
T Wu, R Snaiki - Frontiers in Built Environment, 2022 - frontiersin.org
Advances of the analytical, numerical, experimental and field-measurement approaches in wind engineering offers unprecedented volume of data that, together with rapidly evolving …
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 …