Soft methods in the prediction and identification analysis of axially compressed R/C columns
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),References
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 2956-5839.
Available at: <https://cames.ippt.gov.pl/index.php/cames/article/view/55>. Date accessed: 21 nov. 2024.
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Section
Articles