Machine Learning Techniques in Structural Wind Engineering: A State-of-the-Art Review Article

Mostafa, Karim, Zisis, Ioannis, Moustafa, Mohamed A. (2022). Machine Learning Techniques in Structural Wind Engineering: A State-of-the-Art Review . APPLIED SCIENCES-BASEL, 12(10), 10.3390/app12105232

Open Access

cited authors

  • Mostafa, Karim; Zisis, Ioannis; Moustafa, Mohamed A

authors

publication date

  • May 1, 2022

published in

keywords

  • ARTIFICIAL NEURAL-NETWORKS
  • BUFFETING RESPONSE
  • Chemistry
  • Chemistry, Multidisciplinary
  • Engineering
  • Engineering, Multidisciplinary
  • GAUSSIAN-PROCESSES
  • INTELLIGENCE
  • INTERPOLATION
  • Materials Science
  • Materials Science, Multidisciplinary
  • PREDICTION
  • PRESSURE TIME-SERIES
  • PROPER ORTHOGONAL DECOMPOSITION
  • Physical Sciences
  • Physics
  • Physics, Applied
  • SCALE
  • SUSPENSION BRIDGE
  • Science & Technology
  • Technology
  • aeroelastic response
  • computational fluid dynamics
  • machine learning
  • neural networks
  • wind engineering
  • wind-induced pressure

Digital Object Identifier (DOI)

publisher

  • MDPI

volume

  • 12

issue

  • 10