[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 …
Koopman analysis by the dynamic mode decomposition in wind engineering
The Koopman theory, a concept to globally model nonlinear signals by a linear Hamiltonian,
has been at the frontier of fluid mechanics research for the last decade. Wind engineering …
has been at the frontier of fluid mechanics research for the last decade. Wind engineering …
Wind energy system for buildings in an urban environment
Urban built environments have grown dramatically worldwide in the past few decades due to
rapid economic and population growths. The potential utilization of renewable resources is …
rapid economic and population growths. The potential utilization of renewable resources is …
[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 …
[HTML][HTML] Machine learning-enabled estimation of crosswind load effect on tall buildings
This paper presents an approach to predict crosswind force spectra and associated
response of tall buildings with rectangular cross-section based on machine learning (ML) …
response of tall buildings with rectangular cross-section based on machine learning (ML) …
Assessing wind field characteristics along the airport runway glide slope: An explainable boosting machine-assisted wind tunnel study
Aircraft landings are especially perilous when the wind is gusty near airport runways. For
this reason, an aircraft may deviate from its glide slope, miss its approach, or even crash in …
this reason, an aircraft may deviate from its glide slope, miss its approach, or even crash in …
Pressure pattern recognition in buildings using an unsupervised machine-learning algorithm
Owing to its significance in ensuring structural safety and occupant comfort, wind pressure
on buildings has attracted the attention of numerous scholars. However, the characteristics …
on buildings has attracted the attention of numerous scholars. However, the characteristics …
Best practice guidelines for the dynamic mode decomposition from a wind engineering perspective
This paper distills the serial work of Li et al., 2020a, Li et al., 2021, Li et al., 2022a, Li et al.,
2022b, Li et al., 2022c, Li et al., 2023a, Li et al., 2023b into a practice guide for the Dynamic …
2022b, Li et al., 2022c, Li et al., 2023a, Li et al., 2023b into a practice guide for the Dynamic …
Predicting wind flow around buildings using deep learning
The wind velocity field around buildings provides deep insights into the aerodynamic
characteristics of buildings and indicates the pedestrian-level wind environment around …
characteristics of buildings and indicates the pedestrian-level wind environment around …
Forecasting of aerodynamic coefficients of tri-axially symmetrical Y plan shaped tall building based on CFD data trained ANN
Abstract From Burj Khalifa to Jeddah Tower, the use of a triaxially symmetrical plan is very
common for skyscrapers. Corner modification is inevitable to decrease the wind-induced …
common for skyscrapers. Corner modification is inevitable to decrease the wind-induced …