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Discussion on Pak, Hongrak, Leach, Samuel, Yoon, Seung Hyun, and Paal, Stephanie German (2023) "A knowledge transfer enhanced ensemble approach to predict the shear capacity of reinforced concrete deep beams without stirrups." Computer‐Aided Civil and Infrastructure Engineering, 38:11, 1520–1535

Authors :
Gribniak, Viktor
Source :
Computer-Aided Civil & Infrastructure Engineering. Dec2023, Vol. 38 Issue 18, p2685-2687. 3p.
Publication Year :
2023

Abstract

The article discusses the use of advanced algorithms and artificial intelligence in improving engineering principles for reducing materials, carbon emissions, and energy footprint in the building industry. It critiques a specific article that develops an artificial neural network algorithm for predicting the shear capacity of reinforced concrete deep beams without stirrups. The critique argues that the research object's choice is inconsistent with design standards and that the algorithm's results are irrelevant to engineering practice. It concludes by cautioning that while artificial neural network algorithms can be helpful, they should only be used to verify existing design methodologies or improve structural performance. [Extracted from the article]

Details

Language :
English
ISSN :
10939687
Volume :
38
Issue :
18
Database :
Academic Search Index
Journal :
Computer-Aided Civil & Infrastructure Engineering
Publication Type :
Academic Journal
Accession number :
173603984
Full Text :
https://doi.org/10.1111/mice.13092