Ensemble Machine Learning-Based Approach for Predicting of FRP–Concrete Interfacial Bonding
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Ensemble Machine Learning-Based Approach for Predicting of FRP–Concrete Interfacial Bonding
Authors
Keywords
-
Journal
Mathematics
Volume 10, Issue 2, Pages 231
Publisher
MDPI AG
Online
2022-01-12
DOI
10.3390/math10020231
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Surface crack detection using deep learning with shallow CNN architecture for enhanced computation
- (2021) Bubryur Kim et al. NEURAL COMPUTING & APPLICATIONS
- Parameter Estimation in Multiple Dynamic Synaptic Coupling Model Using Bayesian Point Process State-Space Modeling Framework
- (2021) Yalda Amidi et al. NEURAL COMPUTATION
- Pressure pattern recognition in buildings using an unsupervised machine-learning algorithm
- (2021) Bubryur Kim et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- Investigation of steel frame damage based on computer vision and deep learning
- (2021) Bubryur Kim et al. AUTOMATION IN CONSTRUCTION
- Predicting wind flow around buildings using deep learning
- (2021) Bubryur Kim et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- A Hybrid Speech Enhancement Algorithm for Voice Assistance Application
- (2021) Jenifa Gnanamanickam et al. SENSORS
- Explicit neural network model for predicting FRP-concrete interfacial bond strength based on a large database
- (2020) Yingwu Zhou et al. COMPOSITE STRUCTURES
- Enhanced pedestrian detection using optimized deep convolution neural network for smart building surveillance
- (2020) Bubryur Kim et al. SOFT COMPUTING
- Recent Trends in Prediction of Concrete Elements Behavior Using Soft Computing (2010–2020)
- (2020) Masoomeh Mirrashid et al. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
- Multi-objective optimization of a structural link for a linked tall building system
- (2020) Bubryur Kim et al. Journal of Building Engineering
- An innovative approach for bond strength modeling in FRP strip-to-concrete joints using adaptive neuro–fuzzy inference system
- (2019) Hosein Naderpour et al. ENGINEERING WITH COMPUTERS
- Artificial neural network for predicting the flexural bond strength of FRP bars in concrete
- (2018) Mehmet Alpaslan Köroğlu SCIENCE AND ENGINEERING OF COMPOSITE MATERIALS
- Static and cyclic response of low-strength recycled aggregate concrete strengthened using fiber-reinforced polymer
- (2018) Pengda Li et al. COMPOSITES PART B-ENGINEERING
- Shear strength components of adjustable hybrid bonded CFRP shear-strengthened RC beams
- (2018) Yingwu Zhou et al. COMPOSITES PART B-ENGINEERING
- Mechanism of surface preparation on FRP-Concrete bond performance: A quantitative study
- (2018) Cheng Chen et al. COMPOSITES PART B-ENGINEERING
- Predicting Bond Strength between FRP Plates and Concrete Sub-strate: Applications of GMDH and MNLR Approaches
- (2017) Seyed Mahmood Hamze-Ziabari et al. Journal of Advanced Concrete Technology
- A feasibility study of BBP for predicting shear capacity of FRP reinforced concrete beams without stirrups
- (2016) Emadaldin Mohammadi Golafshani et al. ADVANCES IN ENGINEERING SOFTWARE
- Improvement of FRP-to-concrete bond performance using bidirectional fiber patch anchors combined with FRP spike anchors
- (2016) R. Kalfat et al. COMPOSITE STRUCTURES
- Using data mining algorithms to predict the bond strength of NSM FRP systems in concrete
- (2016) Mário R.F. Coelho et al. CONSTRUCTION AND BUILDING MATERIALS
- Prediction of debonding strength for masonry elements retrofitted with FRP composites using neuro fuzzy and neural network approaches
- (2015) Iman Mansouri et al. COMPOSITES PART B-ENGINEERING
- Prediction of shear strength of FRP-reinforced concrete flexural members without stirrups using artificial neural networks
- (2014) S. Lee et al. ENGINEERING STRUCTURES
- Artificial neural network and genetic programming for predicting the bond strength of GFRP bars in concrete
- (2014) E. M. Golafshani et al. MATERIALS AND STRUCTURES
- Prediction of shear strength of FRP reinforced concrete beams using fuzzy inference system
- (2013) Kourosh Nasrollahzadeh et al. EXPERT SYSTEMS WITH APPLICATIONS
- Quantification of Bond-Slip Relationship for Externally Bonded FRP-to-Concrete Joints
- (2013) Yu-Fei Wu et al. JOURNAL OF COMPOSITES FOR CONSTRUCTION
- Deflection of concrete structures reinforced with FRP bars
- (2012) Ilker Fatih Kara et al. COMPOSITES PART B-ENGINEERING
- Prediction of bond strength of spliced steel bars in concrete using artificial neural network and fuzzy logic
- (2012) Emadaldin Mohammadi Golafshani et al. CONSTRUCTION AND BUILDING MATERIALS
- Application of artificial neural networks to predict the bond strength of FRP-to-concrete joints
- (2012) Mohammed A. Mashrei et al. CONSTRUCTION AND BUILDING MATERIALS
- General model for constitutive relationships of concrete and its composite structures
- (2011) Ying-Wu Zhou et al. COMPOSITE STRUCTURES
- Bond Efficiency of EBR and NSM FRP Systems for Strengthening Concrete Members
- (2011) A. Bilotta et al. JOURNAL OF COMPOSITES FOR CONSTRUCTION
- Experimental study on interfacial behavior of CFRP-bonded concrete
- (2010) Sang-Kyun Woo et al. KSCE Journal of Civil Engineering
- Artificial neural network model for steel–concrete bond prediction
- (2009) Zohra Dahou et al. ENGINEERING STRUCTURES
- A Three-Parameter Bond Strength Model for FRP—Concrete Interface
- (2008) Zhishen Wu et al. JOURNAL OF REINFORCED PLASTICS AND COMPOSITES
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now