This paper explores the application of active learning strategies to adaptively learn Sobol
indices for global sensitivity analysis. We demonstrate that active learning for Sobol indices …

This study conducted extensive wind tunnel tests to evaluate the impact of terrain complexity
on wind pressure across low-rise buildings. A series of wind tunnel tests was performed …

Complementary to field measurement and computational simulation, experimental
generation of downburst winds in laboratories is an effective approach to enhance the …

This paper presents a methodology for the simulation of non-Gaussian wind field as a
stochastic wave using the 3rd-order Spectral Representation Method. Traditionally, the wind …

With growing interest in probabilistic assessments of structures subject to extreme winds,
there is a need for stochastic simulation schemes that can capture the inherently non …

Given the increased interest in tornado-induced wind loading (in part exhibited by inclusion
of such loading in wind standards around the world) it is vital to understand the various …

Experimental assessment of safe and precise flight control algorithms for unmanned aerial
vehicles under gusty wind conditions requires the capability to generate a large range of …

This study presents a data-driven methodology for predicting the pressure coefficient
statistics on the windward wall, roof, and leeward wall of low-rise buildings situated …

The impact of climate change and global warming makes it imperative to seek sustainable
solutions for the built environment. To facilitate the design of future sustainable buildings …

Active machine learning is widely used in computational studies where repeated numerical
simulations can be conducted on high performance computers without human intervention …