Artificial neural network and genetic programming for predicting the bond strength of GFRP bars in concrete
Published 2014 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Artificial neural network and genetic programming for predicting the bond strength of GFRP bars in concrete
Authors
Keywords
-
Journal
MATERIALS AND STRUCTURES
Volume 48, Issue 5, Pages 1581-1602
Publisher
Springer Nature
Online
2014-01-29
DOI
10.1617/s11527-014-0256-0
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Neural network modelling for shear strength of concrete members reinforced with FRP bars
- (2012) Rizwan Bashir 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
- Prediction of compressive strength of recycled aggregate concrete using artificial neural networks
- (2012) Z.H. Duan et al. CONSTRUCTION AND BUILDING MATERIALS
- Prediction of shear strength of FRP-reinforced concrete beams without stirrups based on genetic programming
- (2011) Ilker Fatih Kara ADVANCES IN ENGINEERING SOFTWARE
- A new predictive model for compressive strength of HPC using gene expression programming
- (2011) Seyyed Mohammad Mousavi et al. ADVANCES IN ENGINEERING SOFTWARE
- Using artificial neural networks for calculation of temperatures in timber under fire loading
- (2011) Paulo B. Cachim CONSTRUCTION AND BUILDING MATERIALS
- Prediction of punching shear strength of two-way slabs
- (2011) Ahmed A. Elshafey et al. ENGINEERING STRUCTURES
- Prediction of the strength of mineral admixture concrete using multivariable regression analysis and an artificial neural network
- (2011) U. Atici EXPERT SYSTEMS WITH APPLICATIONS
- Predicting of torsional strength of RC beams by using different artificial neural network algorithms and building codes
- (2010) M. Hakan Arslan ADVANCES IN ENGINEERING SOFTWARE
- Neural network based approach for determining the shear strength of circular reinforced concrete columns
- (2009) Naci Caglar CONSTRUCTION AND BUILDING MATERIALS
- Neural networks for predicting compressive strength of structural light weight concrete
- (2009) Marai M. Alshihri et al. CONSTRUCTION AND BUILDING MATERIALS
- Artificial neural network model for steel–concrete bond prediction
- (2009) Zohra Dahou et al. ENGINEERING STRUCTURES
- Effect of FRP bar degradation on interface bond with high strength concrete
- (2008) Julio F. Davalos et al. CEMENT & CONCRETE COMPOSITES
- Effect of fibers on the bonds between FRP reinforcing bars and high-strength concrete
- (2008) Jong-Pil Won et al. COMPOSITES PART B-ENGINEERING
- Prediction of long-term effects of GGBFS on compressive strength of concrete by artificial neural networks and fuzzy logic
- (2008) Mustafa Sarıdemir et al. CONSTRUCTION AND BUILDING MATERIALS
- Interfacial bond strength of glass fiber reinforced polymer bars in high-strength concrete
- (2007) J.-Y. Lee et al. COMPOSITES PART B-ENGINEERING
- Predicting the compressive strength of steel fiber added lightweight concrete using neural network
- (2007) Fatih Altun et al. COMPUTATIONAL MATERIALS SCIENCE
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started