Bayesian regression approaches on example of concrete fatigue failure prediction
Abstract
The focus of this paper is the application of two nonlinear regression models in the context of Bayesian inference to the problem of failure prediction of concrete specimen under repeated loads based on experimental data. These two models are compared with an empirical formulae. Results on testing data show that both models give better point predictions than empirical formulae. Moreover, Bayesian regression approach makes it possible to calculate prediction intervals (error bars) describing the reliability of the models predictions.
Keywords
Bayesian inference, concrete, fatigue failure, Gaussian process regression, feed-forward neural Network,References
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[5] K. Furtak. Strength of the concrete under multiple repeated loads, (in Polish). Arch. Civil Engrg., 30, 1984.
Published
Sep 27, 2022
How to Cite
SŁOŃSKI, Marek.
Bayesian regression approaches on example of concrete fatigue failure prediction.
Computer Assisted Methods in Engineering and Science, [S.l.], v. 13, n. 4, p. 655- 668, sep. 2022.
ISSN 2956-5839.
Available at: <https://cames.ippt.pan.pl/index.php/cames/article/view/896>. Date accessed: 02 may 2024.
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