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Machine-learning methods for estimating performance of structural concrete members reinforced with fiber-reinforced polymers
In recent years, fiber-reinforced polymers (FRP) in reinforced concrete (RC) members have
gained significant attention due to their exceptional properties, including lightweight …
gained significant attention due to their exceptional properties, including lightweight …
Flexural behavior of RC beams strengthened with fully or partially prestressed near-surface mounted FRP strips: An experimental investigation
M Su, S Gong, Y Liu, H Peng - Engineering Structures, 2022 - Elsevier
The strengthening technique based on prestressed near-surface mounted (NSM) strips
made of fiber-reinforced polymers (FRPs) is well known as an effective means to restore or …
made of fiber-reinforced polymers (FRPs) is well known as an effective means to restore or …
A review on performance of near‐surface mounted‐carbon fiber‐reinforced polymer laminates bonded into slits
The near‐surface mounted (NSM) technique over the years has become the most popular
retrofitting technique for obtaining enhanced strength and durability in reinforced concrete …
retrofitting technique for obtaining enhanced strength and durability in reinforced concrete …
Regularized multivariate polynomial regression analysis of the compressive strength of slag-metakaolin geopolymer pastes based on experimental data
M Su, Q Zhong, H Peng - Construction and building materials, 2021 - Elsevier
The compressive strength of geopolymer pastes is a fundamental parameter in the research
on the macromechanical performance of geopolymer concrete. However, the factors that …
on the macromechanical performance of geopolymer concrete. However, the factors that …
[HTML][HTML] XGBoost algorithm based estimation of near surface mounted FRP rod-to-concrete bond strength and failure mode
A Kumar, HC Arora, ML Nehdi - Journal of Building Engineering, 2024 - Elsevier
Using fiber-reinforced polymer (FRP) in reinforced concrete (RC) structures can mitigate the
colossal repair costs due to reinforcing steel corrosion. Hence, FRP rod/bar is gaining wider …
colossal repair costs due to reinforcing steel corrosion. Hence, FRP rod/bar is gaining wider …
Mask R-CNN and multifeature clustering model for catenary insulator recognition and defect detection
P Tan, X Li, J Ding, Z Cui, J Ma, Y Sun, B Huang… - Journal of Zhejiang …, 2022 - Springer
Rod insulators are vital parts of the catenary of high speed railways (HSRs). There are many
different catenary insulators, and the background of the insulator image is complicated. It is …
different catenary insulators, and the background of the insulator image is complicated. It is …
Carnivorous Plant Algorithm and BP to Predict Optimum Bonding Strength of Heat-Treated Woods
Y Wang, W Wang, Y Chen - Forests, 2022 - mdpi.com
In this study, the CPA algorithm was used to optimize a BP neural network model to predict
the bond strength and surface roughness of heat-treated wood. The neural network model …
the bond strength and surface roughness of heat-treated wood. The neural network model …
Predicting NSMR–concrete bond strength using artificial neural networks: A comparative‐analysis study
R Haddad, N Qarqaz - Structural Concrete, 2023 - Wiley Online Library
Abstract Near Surface‐Mounted Fiber Reinforced Polymer (NSM FRP) strips have become a
popular technique for the rehabilitation of existing deteriorated concrete structures, the …
popular technique for the rehabilitation of existing deteriorated concrete structures, the …
An experimental study on the interfacial bonding performance of horizontally embedded CFRP strips to concrete
Y Lv, P Wu, J Chou, W Han, M Su, H Peng - Construction and Building …, 2023 - Elsevier
The near-surface mounted (NSM) carbon fiber-reinforced polymer (CFRP) strengthening
method has a good efficiency in regard to strengthening aging or damaged concrete …
method has a good efficiency in regard to strengthening aging or damaged concrete …
Rapid analysis of CFRP-reinforced concrete structures using artificial neural networks
This study examines the vital role of artificial neural networks (ANNs) in predicting and
optimizing carbon fiber-reinforced polymer (CFRP) reinforced concrete structures. ANNs …
optimizing carbon fiber-reinforced polymer (CFRP) reinforced concrete structures. ANNs …