Jack Banahene Osei
A machine learning-based structural load estimation model for shear-critical RC beams and slabs using multifractal analysis
Osei, Jack Banahene; Adom-Asamoah, Mark; Owusu Twumasi, Jones; Andras, Peter; Zhang, Hexin
Authors
Mark Adom-Asamoah
Jones Owusu Twumasi
Prof Peter Andras P.Andras@napier.ac.uk
Dean of School of Computing Engineering and the Built Environment
Prof Johnson Zhang j.zhang@napier.ac.uk
Professor
Abstract
This paper presents a machine learning model for load-level estimation for shear-critical reinforced concrete (RC) beams and slabs using multifractal features of their characteristic crack patterns to automate and provide well-informed decisions for RC damage assessment. Multifractal analysis was conducted on a database of 508 images, of which critical features were extracted from the singularity and generalized dimension spectra. These features are used as predictors for the load-level estimation model. The extreme gradient boosting algorithm yielded the best performance among the four machine learning models considered. The mean of the predicted-to-true ratio for the developed model was 1.04 with a coefficient of variation of 0.27. Upon applying Shapley additive explanations, the fractal dimension, information dimension, correlation dimension and the area under the left branch of the singularity spectrum were the critical features influencing load-level estimation. The proposed model can be useful to RC building inspectors.
Citation
Osei, J. B., Adom-Asamoah, M., Owusu Twumasi, J., Andras, P., & Zhang, H. (2023). A machine learning-based structural load estimation model for shear-critical RC beams and slabs using multifractal analysis. Construction and Building Materials, 394, Article 132250. https://doi.org/10.1016/j.conbuildmat.2023.132250
Journal Article Type | Article |
---|---|
Acceptance Date | Jun 21, 2023 |
Online Publication Date | Jun 28, 2023 |
Publication Date | 2023-08 |
Deposit Date | Aug 18, 2023 |
Publicly Available Date | Jun 29, 2024 |
Print ISSN | 0950-0618 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 394 |
Article Number | 132250 |
DOI | https://doi.org/10.1016/j.conbuildmat.2023.132250 |
Keywords | Multifractal analysis, Load-level assessment, Beams and slabs, Machine learning, Score analysis |
Files
A machine learning-based structural load estimation model for shear-critical RC beams and slabs using multifractal analysis (accepted version)
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