Data driven strength and strain enhancement model for FRP confined concrete using Bayesian optimization
Author:
Publisher
Elsevier BV
Subject
Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering
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1. Designing a reliable machine learning system for accurately estimating the ultimate condition of FRP-confined concrete;Scientific Reports;2024-09-03
2. Machine-Learning Methods for Estimating Performance of Structural Concrete Members Reinforced with Fiber-Reinforced Polymers;Archives of Computational Methods in Engineering;2024-06-14
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4. A prediction model for strength and strain of CFRP-confined concrete cylinders using gene expression programming;COMPUT CONCRETE;2022
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