Predicting shear strength of corroded RC columns: a probabilistic model with enhanced Gaussian Process Regression

Predicting shear strength of corroded RC columns: a probabilistic model with enhanced Gaussian Process Regression

This study proposes a new probabilistic model for predicting the shear strength of corroded reinforced concrete (RC) columns. The probabilistic model addresses limitations of traditional methods by combining mechanical understanding with enhanced Gaussian Process Regression (GPR). A novel mean funct...

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Bibliographic Details
Main Authors: Yu, Bo, Zhang, Pengfei, Li, Bing
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2025
Subjects:
Engineering
Shear strength
Enhanced Gaussian process regression
Online Access:https://hdl.handle.net/10356/182210
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/182210

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