연구동향 분석

Compressive strength estimation of concrete containing zeolite and diatomite: An expert system implementation

Giyasettin Ozcan Yilmaz Kocak Eyyup Gulbandilar 2018년

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' Compressive strength estimation of concrete containing zeolite and diatomite: An expert system implementation' 의 주제별 논문영향력
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  • 공학, 공업일반
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' Compressive strength estimation of concrete containing zeolite and diatomite: An expert system implementation' 의 참고문헌

  • Utilization of natural zeolite and industrial waste in improving cement performance in cement production
  • Trasin cimento yuzey ozelligine, hidratasyona ve basinc dayanimina Etkisi
    Kocak, Y. [2010]
  • The use of natural zeolites in the industry of the light construction
    Serbest, D. [1999]
  • The use of diatomite as pozzolanic material in blended cement production
  • The properties of the self-compacting concrete with fly ash and ground granulated blast furnace slag mineral admixtures
    Zhao, H. [2015]
  • The investigation of the effect of minerological molecular electrokinetical and thermal compliance of pumice, zeolite and CEM I cement on high strength concrete
    Yildiz, K. [2010]
  • The effect of using natural zeolite on the properties and hydration characteristics of blended cements
    Kocak, Y. [2013]
  • The effect of using fly ash on the strength and hydration characteristics of blended cements
    Kocak, Y. [2014]
  • The comparison of fuzzy inference systems and neural network approaches with ANFIS method for fuel consumption data
    Atmaca, H. [2001]
  • TS EN 12390-6, Testing hardened concrete-Part 6: Tensile Splitting Strength for Test Specimens
  • TS EN 12350-2, Testing Fresh Concrete-Part 2: Slump Test
  • TS 802, Design of Concrete Mixes
  • Properties of Concrete, Fourth Edition
  • Prediction the effects of fly ash and silica fume on the setting time of Portland cement with fuzzy logic
  • Prediction of the effect of varying cure conditions and w/c ratio on the compressive strength of concrete using artificial neural networks
    Yaprak, H. [2013]
  • Prediction of the compressive strength of normal and highperformance concretes using M5P model tree algorithm
    Behnood, A. [2017]
  • Prediction of mechanical properties of cement containing class C fly ash by using artificial neural network and regression technique
    Subasi, S. [2009]
  • Prediction of long-term effects of GGBFS on compressive strength of concrete by artificial neural networks and fuzzy logic
    Topcu, I.B. [2009]
  • Prediction of expansion behavior of self-stressing concrete by artificial neural networks and fuzzy inference systems
    Wang, B. [2015]
  • Prediction of debonding strength for masonry elements retrofitted with FRP composites using neuro fuzzy and neural network approaches
  • Prediction of curvature ductility factor for FRP strengthened RHSC beams using ANFIS and regression models
  • Prediction of compressive strength of concrete containing fly ash using artificial neural networks and fuzzy logic
    Topcu, I.B. [2008]
  • Predicting the strength development of cements produced with different pozzolans by neural network and fuzzy logic
    Topcu, I.B. [2008]
  • Predicting the compressive strength of cement mortars containing FA and SF by MLPNN
  • Predicting modulus elasticity of recycled aggregate concrete using M5' model tree algorithm
    Behnood, A. [2015]
  • Modeling and prediction of flexural strength of hybrid mesh and fiber reinforced cement-based composites using Artificial Neural Network (ANN)
  • Input selection for ANFIS learning, Fuzzy Systems
  • Evaluation of the splitting tensile strength in plain and steel fiber-reinforced concrete based on the compressive strength
    Behnood, A. [2015]
  • Estimation of saturation percentage of soil using multiple regression, ANN, and ANFIS techniques
    Aali, K.A. [2009]
  • Electrochemical investigations on the corrosion behaviour of reinforcing steel in diatomite- and zeolitecontaining concrete exposed to sulphuric acid
    Gerengi, H. [2013]
  • Effect of the PC, diatomite and zeolite on the performance of concrete composites
  • Effect of silica fume on the mechanical properties of fly ash basedgeopolymer concrete
    Okoye, F.N. [2016]
  • Effect of particlesize of blast furnace slag on properties of portland cement
    Zhu, J. [2012]
  • Effect of metakaolin substitution on physical, mechanical and hydration process of White Portland cement
    Subasi, A. [2015]
  • Drying shrinkage prediction of paste containing meta-kaolin and ultrafine fly ash for developing ultra-high performance concrete
    Zhengqi, L. [2016]
  • Corrosion behavior of reinforcing steel embedded in concrete produced with finely ground pumice and silica fume
  • Concrete
  • Comparison of artificial neural network and fuzzy logic models for prediction of long-term compressive strength of silica fume concrete
    Ozcan, F. [2009]
  • Artificial neural networks-Methodological advances and biomedical applications
    Suzuki, K. [2011]
  • Application of adaptive neuro-fuzzy technique to predict the unconfined compressive strength of PFA-sandcement mixture
  • Analyzing the compressive strength of clinker mortars using approximate reasoning approaches – ANN vs MLR
  • Analytical and genetic programming model of compressive strength of eco concretes by NDT according to curing temperature
  • A study on the effect of fly ash and silica fume substituted cement paste and mortars
    Kocak, Y. [2010]