Predicting the compressive strength of self‐compacting concrete containing Class F fly ash using metaheuristic radial basis function neural network
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Predicting the compressive strength of self‐compacting concrete containing Class F fly ash using metaheuristic radial basis function neural network
Authors
Keywords
-
Journal
Structural Concrete
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2021-02-11
DOI
10.1002/suco.202000047
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Machine learning study of the mechanical properties of concretes containing waste foundry sand
- (2020) Ali Behnood et al. CONSTRUCTION AND BUILDING MATERIALS
- Estimation of the compressive strength of concretes containing ground granulated blast furnace slag using hybridized multi-objective ANN and salp swarm algorithm
- (2020) Amirreza Kandiri et al. CONSTRUCTION AND BUILDING MATERIALS
- Ecological, fresh state and long-term mechanical properties of high-volume fly ash high-performance self-compacting concrete
- (2019) Paulo Ricardo de Matos et al. CONSTRUCTION AND BUILDING MATERIALS
- Comparison of artificial neural network (ANN) and response surface methodology (RSM) prediction in compressive strength of recycled concrete aggregates
- (2019) Abdelkader Hammoudi et al. CONSTRUCTION AND BUILDING MATERIALS
- Predicting the compressive strength of normal and High-Performance Concretes using ANN and ANFIS hybridized with Grey Wolf Optimizer
- (2019) Emadaldin Mohammadi Golafshani et al. CONSTRUCTION AND BUILDING MATERIALS
- Estimation of factors affecting the concrete strength in presence of blast furnace slag and fly ash using adaptive neuro‐fuzzy technique
- (2019) Slavica Cvetkovic Structural Concrete
- Predicting compressive strength of lightweight foamed concrete using extreme learning machine model
- (2018) Zaher Mundher Yaseen et al. ADVANCES IN ENGINEERING SOFTWARE
- Predicting the climbing rate of slip formwork systems using linear biogeography-based programming
- (2018) Emadaldin Mohammadi Golafshani et al. APPLIED SOFT COMPUTING
- Effects of deicers on the performance of concrete pavements containing air-cooled blast furnace slag and supplementary cementitious materials
- (2018) Kho Pin Verian et al. CEMENT & CONCRETE COMPOSITES
- Application of soft computing methods for predicting the elastic modulus of recycled aggregate concrete
- (2018) Emadaldin Mohammadi Golafshani et al. JOURNAL OF CLEANER PRODUCTION
- Prediction of compressive strength of self-compacting concrete by ANFIS models
- (2018) Behnam Vakhshouri et al. NEUROCOMPUTING
- Predicting the compressive strength of silica fume concrete using hybrid artificial neural network with multi-objective grey wolves
- (2018) Ali Behnood et al. JOURNAL OF CLEANER PRODUCTION
- Shear strength prediction of steel fiber reinforced concrete beam using hybrid intelligence models: A new approach
- (2018) Zaher Mundher Yaseen et al. ENGINEERING STRUCTURES
- An overview on mixture design of self-compacting concrete
- (2018) Deepankar Kumar Ashish et al. Structural Concrete
- Estimating the optimal mix design of silica fume concrete using biogeography-based programming
- (2018) Emadaldin Mohammadi Golafshani et al. CEMENT & CONCRETE COMPOSITES
- 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
- Estimation of compressive strength of hollow concrete masonry prisms using artificial neural networks and adaptive neuro-fuzzy inference systems
- (2016) Qiang Zhou et al. CONSTRUCTION AND BUILDING MATERIALS
- Predicting behavior of FRP-confined concrete using neuro fuzzy, neural network, multivariate adaptive regression splines and M5 model tree techniques
- (2016) Iman Mansouri et al. MATERIALS AND STRUCTURES
- Fresh and rheological behavior of nano-silica and fly ash blended self-compacting concrete
- (2015) Erhan Güneyisi et al. CONSTRUCTION AND BUILDING MATERIALS
- Comparative study on effects of Class F fly ash, nano silica and silica fume on properties of high performance self compacting concrete
- (2015) Mostafa Jalal et al. CONSTRUCTION AND BUILDING MATERIALS
- Evaluation of the splitting tensile strength in plain and steel fiber-reinforced concrete based on the compressive strength
- (2015) Ali Behnood et al. CONSTRUCTION AND BUILDING MATERIALS
- 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
- Influence of Mineral Admixtures on the Permeation Properties of Self-Compacting Concrete at Different Ages
- (2014) H. Siad et al. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
- Prediction of the bond strength of ribbed steel bars in concrete based on genetic programming
- (2014) Emadaldin Mohammadi Golafshani et al. Computers and Concrete
- Prediction of compressive strength of self-compacting concrete using least square support vector machine and relevance vector machine
- (2014) Bhairevi Ganesh Aiyer et al. KSCE Journal of Civil Engineering
- 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
- Effects of different curing regimes on the compressive strength properties of self compacting concrete incorporating fly ash and silica fume
- (2013) A. Ferhat Bingöl et al. MATERIALS & DESIGN
- Prediction of compressive strength of recycled aggregate concrete using artificial neural networks
- (2012) Z.H. Duan et al. CONSTRUCTION AND BUILDING MATERIALS
- Prediction of compressive strength of concrete containing construction and demolition waste using artificial neural networks
- (2012) Adriana Trocoli Abdon Dantas et al. CONSTRUCTION AND BUILDING MATERIALS
- Properties of Self-Consolidating Concrete Made with High Volumes of Supplementary Cementitious Materials
- (2012) Hassan El-Chabib et al. JOURNAL OF MATERIALS IN CIVIL ENGINEERING
- Prediction of compressive strength of self-compacting concrete containing bottom ash using artificial neural networks
- (2011) Rafat Siddique et al. ADVANCES IN ENGINEERING SOFTWARE
- Prediction of the concrete compressive strength by means of core testing using GMDH-type neural network and ANFIS models
- (2011) Rahmat Madandoust et al. COMPUTATIONAL MATERIALS SCIENCE
- Influence of water/powder ratio on strength properties of self-compacting concrete containing coal fly ash and bottom ash
- (2011) Rafat Siddique et al. CONSTRUCTION AND BUILDING MATERIALS
- Properties of self-compacting-concrete containing fly ash subjected to elevated temperatures
- (2011) Neelam Pathak et al. CONSTRUCTION AND BUILDING MATERIALS
- Self-compacting concrete with different levels of pulverized fuel ash
- (2010) Miao Liu CONSTRUCTION AND BUILDING MATERIALS
- Comparative long term study of concrete mix design procedure for fine aggregate replacement with fly ash by minimum voids method and maximum density method
- (2010) A. D. Pofale et al. KSCE Journal of Civil Engineering
- Properties of self-compacting concrete containing class F fly ash
- (2010) Rafat Siddique MATERIALS & DESIGN
- Use of spent foundry sand and fly ash for the development of green self-consolidating concrete
- (2010) Mustafa Şahmaran et al. MATERIALS AND STRUCTURES
- Modeling the mechanical properties of rubberized concretes by neural network and genetic programming
- (2009) Mehmet Gesoğlu et al. MATERIALS AND STRUCTURES
- Prediction of compressive strength of SCC and HPC with high volume fly ash using ANN
- (2008) B.K. Raghu Prasad et al. CONSTRUCTION AND BUILDING MATERIALS
- Effect of mineral admixtures on the correlation between ultrasonic velocity and compressive strength for self-compacting concrete
- (2008) Zülfü Ç. Ulucan et al. RUSSIAN JOURNAL OF NONDESTRUCTIVE TESTING
- 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
- Performance of self-compacting concrete containing fly ash
- (2007) J.M. Khatib CONSTRUCTION AND BUILDING MATERIALS
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