Compressive Strength Evaluation of Fiber-Reinforced High-Strength Self-Compacting Concrete with Artificial Intelligence
نویسندگان
چکیده
منابع مشابه
Axial Compressive Strength of Reinforced Concrete Columns Wrapped with Fiber Reinforced Polymers (FRP)
This paper presents the results of a study on the axial compressive strength of columnsstrengthened with FRP wrap. The experimental part of the study included testing 6 reinforcedconcrete columns in two series. The first series comprised three similar circular reinforced concretecolumns strengthened with FRP wrap. The second series consisted of three similar square columns,two with sharp corner...
متن کاملTorsion Behavior of Steel Fibered High Strength Self Compacting Concrete Beams Reinforced by GFRB Bars
This paper investigates experimentally and analytically the torsion behavior of steel fibered high strength self compacting concrete beams reinforced by GFRP bars. Steel fibered high strength self compacting concrete (SFHSSCC) and GFRP bars became in the recent decades a very important materials in the structural engineering field. The use of GFRP bars to replace steel bars has emerged as one o...
متن کاملMechanical Behavior of Hybrid Fiber Reinforced High Strength Concrete with Graded Fibers
Brittleness, which was the inherent weakness in High Strength Concrete (HSC), can be avoided by reinforcing the concrete with discontinuous fibers. Reinforcing HSC with more than one fiber is advantageous in an overall improvement of the mechanical performance of the composite. In this experimental study, Hybrid Fiber Reinforced High Strength Concrete (HyFR-HSC) mixes were formed by blending si...
متن کاملPrediction of Compressive Strength of Self- Compacting Concrete with Fuzzy Logic
The paper presents the potential of fuzzy logic (FL-I) and neural network techniques (ANN-I) for predicting the compressive strength, for SCC mixtures. Six input parameters that is contents of cement, sand, coarse aggregate, fly ash, superplasticizer percentage and water-to-binder ratio and an output parameter i.e. 28day compressive strength for ANN-I and FL-I are used for modeling. The fuzzy l...
متن کاملPREDICTION OF COMPRESSIVE STRENGTH AND DURABILITY OF HIGH PERFORMANCE CONCRETE BY ARTIFICIAL NEURAL NETWORKS
Neural networks have recently been widely used to model some of the human activities in many areas of civil engineering applications. In the present paper, artificial neural networks (ANN) for predicting compressive strength of cubes and durability of concrete containing metakaolin with fly ash and silica fume with fly ash are developed at the age of 3, 7, 28, 56 and 90 days. For building these...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Advances in Civil Engineering
سال: 2020
ISSN: 1687-8094,1687-8086
DOI: 10.1155/2020/3012139