Self-compacting concrete strength prediction using surrogate models
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Self-compacting concrete strength prediction using surrogate models
Authors
Keywords
Artificial neural networks, Back propagation neural networks, Compressive strength, Self-compacting concrete
Journal
NEURAL COMPUTING & APPLICATIONS
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2017-04-28
DOI
10.1007/s00521-017-3007-7
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Prediction and modeling of mechanical properties in fiber reinforced self-compacting concrete using particle swarm optimization algorithm and artificial neural network
- (2016) Hadi Mashhadban et al. CONSTRUCTION AND BUILDING MATERIALS
- Effect of nano silica on the workability of self-compacting concretes having untreated and surface treated lightweight aggregates
- (2016) Erhan Güneyisi et al. CONSTRUCTION AND BUILDING MATERIALS
- Prediction of self-compacting concrete strength using artificial neural networks
- (2016) P.G. Asteris et al. European Journal of Environmental and Civil Engineering
- Prediction of properties of self-compacting concrete containing fly ash using artificial neural network
- (2016) Omar Belalia Douma et al. NEURAL COMPUTING & APPLICATIONS
- Anisotropic masonry failure criterion using artificial neural networks
- (2016) Panagiotis G. Asteris et al. NEURAL COMPUTING & APPLICATIONS
- Modeling of Compressive Strength for Self-Consolidating High-Strength Concrete Incorporating Palm Oil Fuel Ash
- (2016) Md. Safiuddin et al. Materials
- Prediction of the Fundamental Period of Infilled RC Frame Structures Using Artificial Neural Networks
- (2016) Panagiotis G. Asteris et al. Computational Intelligence and Neuroscience
- 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
- Spectral representation-based neural network assisted stochastic structural mechanics
- (2015) Dimitris G. Giovanis et al. ENGINEERING STRUCTURES
- The properties of the self-compacting concrete with fly ash and ground granulated blast furnace slag mineral admixtures
- (2015) Hui Zhao et al. JOURNAL OF CLEANER PRODUCTION
- Using an Artificial Neural Network to Predict Mix Compositions of Steel Fiber-Reinforced Concrete
- (2014) Merve Açikgenç et al. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
- Modeling of masonry failure surface under biaxial compressive stress using Neural Networks
- (2014) Vagelis Plevris et al. CONSTRUCTION AND BUILDING MATERIALS
- Effect of composition variations on bond properties of Self-Compacting Concrete specimens
- (2013) Ioannis P. Sfikas et al. CONSTRUCTION AND BUILDING MATERIALS
- Self compacting concrete from uncontrolled burning of rice husk and blended fine aggregate
- (2013) M.E. Rahman et al. MATERIALS & DESIGN
- An Overview of Bayesian Methods for Neural Spike Train Analysis
- (2013) Zhe Chen Computational Intelligence and Neuroscience
- Influence of limestone filler and viscosity-modifying admixture on the shrinkage of self-compacting concrete
- (2012) M. Valcuende et al. CEMENT AND CONCRETE RESEARCH
- Accelerated subset simulation with neural networks for reliability analysis
- (2012) Vissarion Papadopoulos et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Design of self-compacting concrete with ground granulated blast furnace slag
- (2012) P. Dinakar et al. MATERIALS & DESIGN
- Detection of Fractal Behavior in Temporal Series of Synaptic Quantal Release Events: A Feasibility Study
- (2012) Jacopo Lamanna et al. Computational Intelligence and Neuroscience
- Utilization of Rice Husk Ash as viscosity modifying agent in Self Compacting Concrete
- (2010) Shazim Ali Memon et al. CONSTRUCTION AND BUILDING MATERIALS
- Properties of self-compacting concrete containing class F fly ash
- (2010) Rafat Siddique MATERIALS & DESIGN
- Comparison of artificial neural network and fuzzy logic models for prediction of long-term compressive strength of silica fume concrete
- (2009) Fatih Özcan et al. ADVANCES IN ENGINEERING SOFTWARE
- Effect of slag on the rheology of fresh self-compacted concrete
- (2009) O. Boukendakdji et al. CONSTRUCTION AND BUILDING MATERIALS
- Transport and mechanical properties of self consolidating concrete with high volume fly ash
- (2008) Mustafa Şahmaran et al. CEMENT & CONCRETE COMPOSITES
- A preliminary concrete mix design for SCC with marble powders
- (2008) Kürşat Esat Alyamaç et al. CONSTRUCTION AND BUILDING MATERIALS
- Influence of fly ash on strength and sorption characteristics of cold-bonded fly ash aggregate concrete
- (2008) Glory Joseph et al. CONSTRUCTION AND BUILDING MATERIALS
- Properties of self-compacting concretes made with binary, ternary, and quaternary cementitious blends of fly ash, blast furnace slag, and silica fume
- (2008) Mehmet Gesoğlu et al. CONSTRUCTION AND BUILDING MATERIALS
- Prediction of concrete strength using ultrasonic pulse velocity and artificial neural networks
- (2008) Gregor Trtnik et al. ULTRASONICS
- Prediction of compressive strength of concrete containing fly ash using artificial neural networks and fuzzy logic
- (2007) İlker Bekir Topçu et al. COMPUTATIONAL MATERIALS SCIENCE
- Fly ash lightweight aggregates in high performance concrete
- (2007) O. Kayali CONSTRUCTION AND BUILDING MATERIALS
- Evaluation of strength at early ages of self-compacting concrete with high volume fly ash
- (2007) Binu Sukumar et al. CONSTRUCTION AND BUILDING MATERIALS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started