Data-driven inference of complex system dynamics: A mini-review
Our ability to observe the network topology and nodes' behaviors of complex systems has
significantly advanced in the past decade, giving rise to a new and fast-developing frontier …
significantly advanced in the past decade, giving rise to a new and fast-developing frontier …
[HTML][HTML] Machine learning for bridge wind engineering
Z Zhang, S Li, H Feng, X Zhou, N Xu, H Li… - Advances in Wind …, 2024 - Elsevier
Modeling and control are primary domains in bridge wind engineering. The natural wind
field characteristics (eg, non-stationary, non-uniform, spatial-temporal changing …
field characteristics (eg, non-stationary, non-uniform, spatial-temporal changing …
Numerical study on self-excited forces and flow fields for a thin plate under a sinusoidal non-stationary wind condition
The self-excited forces and flow fields around a thin plate under stationary and sinusoidal
non-stationary wind conditions were simulated using the computational fluid dynamics …
non-stationary wind conditions were simulated using the computational fluid dynamics …
Identification of the form of self-excited aerodynamic force of bridge deck based on machine learning
This paper introduces an intelligent identification method for self-excited aerodynamic
equations. The method is based on advanced sparse recognition technology and equipped …
equations. The method is based on advanced sparse recognition technology and equipped …
Numerical study on bifurcation characteristics of wind-induced vibration for an H-shaped section
In order to reveal the influence of initial excitation on the bifurcation phenomenon of bridge
decks, a new perspective of flow characteristics is developed based on the computational …
decks, a new perspective of flow characteristics is developed based on the computational …
[HTML][HTML] Artificial intelligence and machine learning in aerodynamics
With the increasing availability of flow data from simulation and experiment, artificial
intelligence and machine learning are revolutionizing the research paradigm in …
intelligence and machine learning are revolutionizing the research paradigm in …
Monitoring based intelligent perception and prediction of vortex-induced vibration of long-span bridges: methodology and application
With the continuous breakthrough in span and the application of lightweight and high-
strength materials, bridge structures have become increasingly flexible, highlighting the …
strength materials, bridge structures have become increasingly flexible, highlighting the …