Estimation of the Ultimate Strength of FRP Strips-to-Masonry Substrates Bond
نویسندگان
چکیده
Fiber-Reinforced Polymers (FRP) were developed as a new method over the past decades due to their many beneficial mechanical properties, and they are commonly applied strengthen masonry structures. In this paper, Artificial Neural Network (ANN), K-fold Cross-Validation (KFCV) technique, Multivariate Adaptive Regression Spline (MARS) method, M5 Model Tree (M5MT) utilized predict ultimate strength of FRP strips on substrates. The results obtained via ANN, KFCV, MARS, M5MT compared with existing models. clearly indicate that considered approaches have better efficiency higher precision models available in literature. correlation coefficient values for (i.e., M5MT) promising results, up 99% reliability.
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ژورنال
عنوان ژورنال: Applied sciences
سال: 2023
ISSN: ['2076-3417']
DOI: https://doi.org/10.3390/app13126955