Soft methods in the prediction and identification analysis of axially compressed R/C columns

  • Dominika Ziaja
  • Zenon Waszczyszyn

Abstract

Two problems are presented in the paper concerning axial loading of R/C columns: I) prediction of critical loads, II) identification of concrete strength. The problems were analyzed by two methods: A) Gaussian Processes Method, B) Advanced Back-Propagation Neural Network. The results of the numerical analysis are discussed with respect to numerical efficiency of the applied methods.

Keywords

Gauss Processes Method (GPM), Advanced Back-Propagation Neural Network (ABPNN), Reinforced Concrete (R/C), axial loading, Success Ratio (SR),
Published
Jan 25, 2017
How to Cite
ZIAJA, Dominika; WASZCZYSZYN, Zenon. Soft methods in the prediction and identification analysis of axially compressed R/C columns. Computer Assisted Methods in Engineering and Science, [S.l.], v. 21, n. 1, p. 59-66, jan. 2017. ISSN 2299-3649. Available at: <https://cames.ippt.pan.pl/index.php/cames/article/view/55>. Date accessed: 07 july 2020.
Section
Articles