Computational fluid dynamics (CFD) represents a valuable tool in the design process of built
environments, enhancing the comfort, health, energy efficiency, and safety of indoor and …

The use of computational fluid dynamics (CFD) in the wind engineering (WE) is generally
defined as computational wind engineering (CWE). Since its foundation in 2004, the use of …

In many cutting-edge applications, high-fidelity computational models prove to be too slow
for practical use and are therefore replaced by much faster surrogate models. Recently …

Abstract Machine learning techniques are advancing rapidly in theoretical grounds, but their
practical application and real evaluation in engineering disciplines are limited. This study …

Improving the urban wind climate yields substantial advantages, encompassing enhanced
public health, increased pedestrian safety, improved building energy efficiency, and effective …

In this study, we introduce a multi-fidelity machine learning surrogate model that predicts
comfort-related flow parameters in a benchmark scenario of a ventilated room with a heated …

Many real-world applications demand accurate and fast predictions, as well as reliable
uncertainty estimates. However, quantifying uncertainty on high-dimensional predictions is …

The authors propose a new method to synthesise the time series of wind loads up the height
of a building by robustly combining part-model test results and show that they are essentially …

Wind environment is important in architectural sustainable design, as existing studies show
that it can be considerably influenced by building morphologies. This study aimed to …

Over recent decades, the number of high-rise building fires has increased rapidly with
urbanization. However, few studies have been conducted from the perspective of fire safety …