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[HTML][HTML] Predicting transient wind loads on tall buildings in three-dimensional spatial coordinates using machine learning
Abstract Machine learning (ML) as a subset of artificial intelligence (AI), has gained
significant attention in wind engineering applications over the past decade. Wind load …
significant attention in wind engineering applications over the past decade. Wind load …
Warming and greening exacerbate the propagation risk from meteorological to soil moisture drought
Y Li, S Huang, H Wang, Q Huang, P Li, X Zheng… - Journal of …, 2023 - Elsevier
Quantifying the propagation time (PT) and trigger threshold (TR) from meteorological to soil
moisture drought is critically important for drought early warning and precise defense …
moisture drought is critically important for drought early warning and precise defense …
Intelligent evaluation of interference effects between tall buildings based on wind tunnel experiments and explainable machine learning
K Wang, J Liu, Y Quan, Z Ma, J Chen, Y Bai - Journal of Building …, 2024 - Elsevier
The interference effects of taller high-rise buildings significantly impact the nearby shorter
high-rise buildings in dense urban areas, potentially leading to severe wind-induced …
high-rise buildings in dense urban areas, potentially leading to severe wind-induced …
Predicting the RUL of Li-ion batteries in UAVs using machine learning techniques
Over the past decade, Unmanned Aerial Vehicles (UAVs) have begun to be increasingly
used due to their untapped potential. Li-ion batteries are the most used to power electrically …
used due to their untapped potential. Li-ion batteries are the most used to power electrically …
TC-SINDy: Improving physics-based deterministic tropical cyclone track and intensity model via data-driven sparse identification of Nonlinear Dynamics
Physics-based deterministic tropical cyclone (TC) simulation models play an important role
in TC risk analysis, for their unique capability to represent physical principles and …
in TC risk analysis, for their unique capability to represent physical principles and …
An intelligent framework for deriving formulas of aerodynamic forces between high-rise buildings under interference effects using symbolic regression algorithms
K Wang, T Shen, J Wei, J Liu, W Hu - Journal of Building Engineering, 2025 - Elsevier
Numerous high-rise buildings in megacities create complex interference effects, significantly
impacting aerodynamic forces and leading to severe wind-induced disasters. While current …
impacting aerodynamic forces and leading to severe wind-induced disasters. While current …
**海风电结构台风环境动力灾变与控制
王立忠, 洪义, 高洋洋, 黄铭枫, 国振, 赖踊卿, 朱嵘华… - 力学学报, 2023 - lxxb.cstam.org.cn
开发海上风能是实现我国碳达峰, 碳中和“3060” 目标的重要举措. 海上风电的大型化是降本增效
的主要途径, 已成为**年来的发展趋势. 目前海上风电基础结构设计标准由欧洲领衔; …
的主要途径, 已成为**年来的发展趋势. 目前海上风电基础结构设计标准由欧洲领衔; …
Deep-learning based simulation of tropical cyclone genesis in Northwest Pacific
B Tong, G Hu, YX Deng, YJ Huang, YC He - Journal of Wind Engineering …, 2025 - Elsevier
The frequency and spatial distribution of tropical cyclone genesis (TCG) plays a crucial role
in assessing tropical cyclone (TC) activities and relevant hazards. However, the generation …
in assessing tropical cyclone (TC) activities and relevant hazards. However, the generation …
Decision system for copper flotation backbone process
H Dong, F Wang, D He, Y Liu - Engineering Applications of Artificial …, 2023 - Elsevier
This study proposed a decision system that can output the flotation backbone flowchart
using the natural properties of copper ore. The proposed decision system includes three …
using the natural properties of copper ore. The proposed decision system includes three …
Contribution from the Western Pacific Subtropical High Index to a Deep Learning Typhoon Rainfall Forecast Model
In this study, a tropical cyclone or typhoon rainfall forecast model based on Random Forest
is developed to forecast the daily rainfall at 133 weather stations in China. The input factors …
is developed to forecast the daily rainfall at 133 weather stations in China. The input factors …