[HTML][HTML] Prediction of FRCM–concrete bond strength with machine learning approach
Fibre-reinforced cement mortar (FRCM) has been widely utilised for the repair and
restoration of building structures. The bond strength between FRCM and concrete typically …
restoration of building structures. The bond strength between FRCM and concrete typically …
Ensemble learning based approach for FRP-concrete bond strength prediction
SZ Chen, SY Zhang, WS Han, G Wu - Construction and Building Materials, 2021 - Elsevier
Nowadays, externally bonding fiber reinforced polymer (FRP) plates or sheets have become
a major maintenance approach for aged reinforced concrete flexure structures. However, the …
a major maintenance approach for aged reinforced concrete flexure structures. However, the …
Ensemble machine learning-based approach for predicting of FRP–concrete interfacial bonding
Developments in fiber-reinforced polymer (FRP) composite materials have created a huge
impact on civil engineering techniques. Bonding properties of FRP led to its wide usage with …
impact on civil engineering techniques. Bonding properties of FRP led to its wide usage with …
Prediction of FRP-concrete interfacial bond strength based on machine learning
Externally bonding fiber reinforced polymer (FRP) to concrete structures is an effective way
to enhance the mechanical performance of concrete structures. Many equations have been …
to enhance the mechanical performance of concrete structures. Many equations have been …
Evaluating the bond strength of FRP in concrete samples using machine learning methods
In recent years, the use of Fiber Reinforced Polymers (FRPs) as one of the most common
ways to increase the strength of concrete samples, has been introduced. Evaluation of the …
ways to increase the strength of concrete samples, has been introduced. Evaluation of the …
Selected machine learning approaches for predicting the interfacial bond strength between FRPs and concrete
Accurately predicting the interfacial bond strength (IBS) between concrete and fiber
reinforced polymers (FRPs) has been a challenging problem in the evaluation and …
reinforced polymers (FRPs) has been a challenging problem in the evaluation and …
Explicit neural network model for predicting FRP-concrete interfacial bond strength based on a large database
This study builds a large database from an extensive survey of existing single-lap shear
tests on fiber-reinforced polymer (FRP)-concrete interfacial bonds, comprising 969 test …
tests on fiber-reinforced polymer (FRP)-concrete interfacial bonds, comprising 969 test …
Performance prognosis of FRCM-to-concrete bond strength using ANFIS-based fuzzy algorithm
Nowadays, strengthening of reinforced concrete structures with a new class of sustainable
materials is the possible solution to retrofit the aged deteriorated structures. It is difficult to …
materials is the possible solution to retrofit the aged deteriorated structures. It is difficult to …
Predicting fiber‐reinforced polymer–concrete bond strength using artificial neural networks: A comparative analysis study
R Haddad, M Haddad - Structural Concrete, 2021 - Wiley Online Library
The repair efficiency of fiber‐reinforced polymer (FRP) is crucially linked to bond strength
between FRP and concrete. Artificial neural networks (ANNs) technique is employed for the …
between FRP and concrete. Artificial neural networks (ANNs) technique is employed for the …
Neural network model for bond strength of FRP bars in concrete
NC Concha - Structures, 2022 - Elsevier
Interest in FRP composite bars as reinforcement to concrete has increased over the years as
it showed solutions to the drawbacks of steel such as its corrosion issues and vulnerability …
it showed solutions to the drawbacks of steel such as its corrosion issues and vulnerability …