Prediction of intermediate crack debonding failure in FRP-strengthened reinforced concrete beams based on ensemble learning
Source abstract
Abstract
Fiber-reinforced polymers (FRP) are widely used in the reinforcement of reinforced concrete (RC) structures due to their lightweight, high strength, and corrosion resistance. However, FRP reinforcement of RC beams often suffers from delamination failure due to material and geometric differences between concrete, reinforcing steel, and FRP, especially debonding caused by intermediate cracks (IC), which has become a key issue affecting structural safety. Although various empirical models based on interface bond strength or delamination strain have been developed to predict IC debonding, such as the ACI 440.2R, CECS, and TR55, their accuracy and adaptability remain limited. In recent years, machine learning techniques have shown great potential in predicting the performance of FRP-strengthened concrete structures. This paper aims to collect experimental data to build a database, use machine learning methods to establish an IC debonding failure prediction model, and combine Shapley additive explanations for parameter sensitivity analysis to improve model accuracy and adaptability, thereby providing support for the safety assessment of FRP-strengthened RC beams.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Structural Behavior of Reinforced Concrete · Concrete Corrosion and Durability · Structural Response to Dynamic Loads
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Railway Engineering, Zhengzhou Railway Vocational & Technical College 1 , Zhengzhou,
School of Civil Engineering and Architecture, Anyang Normal University 2 , Anyang, Henan,
Henan Province Engineering Technology Research Center of Digital-Intelligent Building and Low-Carbon Building Materials, Anyang Normal University 3 , Anyang, Henan,
Henan Jiaoyuan Engineering Technology Group Co., Ltd. 4 , Zhengzhou,
School of Future Transportation, Guangzhou Maritime University 5 , Guangzhou,
Funding
Henan Provincial Department of Education Service Industry Development Special Plan · Postdoctoral Research Foundation of China · Youth Talent Promotion Projection of Henan Province · Special Program for Cultivating Outstanding Young Science and Technology Talentsin Zhengzhou City in 2024 · Postdoctoral Research Funding Project of Henan Province in 2023 · Henan Province Science and Technology Research Project · Key Scientific Research Project of Higher Education Institutions in Henan Province
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