Prediction Compressive Strength of Concrete Containing
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Prediction Compressive Strength of Concrete Containing.

Prediction of compressive strength of concrete containing ...

01/01/2013  To construct the model, 17 input parameters were used to achieve one output parameter, referred to as the compressive strength of concrete containing CDW. The results obtained in both, the training and testing phases strongly show the potential use of ANN to predict 3, 7, 28 and 91 days compressive strength of concretes containing CDW.

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Prediction of compressive strength of concrete containing ...

01/01/2008  In order to predict the 7, 28 and 90 days compressive strength values of concrete containing high-lime and low-lime FA without attempting any experiments were constructed models in artificial neural networks and fuzzy logic methods. The models were trained with input and output data. Using only the input data in trained models the 7, 28 and 90 days compressive strength values of concrete ...

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Prediction of Compressive Strength of Concrete Containing ...

Prediction of Compressive Strength of Concrete Containing Industrial Wastes and Fibers Using Artificial Neural Network 1N ... ANN model is developed to predict the compressive strength of concrete containing industrial wastes and fibers using the results of the experiments conducted. In ANN, the input variables are multiplied by weights and the outputs are determined. Higher the weight

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Prediction of compressive strength of concrete containing ...

Dantas et al. [17] investigated the prediction of the compressive strength at the age of 3, 7, 28 and 91 days of concrete containing construction and demolition waste (CDW), using ANN. A total of ...

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Prediction of compressive strength of concrete containing ...

To construct the model, 17 input parameters were used to achieve one output parameter, referred to as the compressive strength of concrete containing CDW. The results obtained in both, the training and testing phases strongly show the potential use of ANN to predict 3, 7, 28 and 91 days compressive strength of concretes containing CDW.

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Prediction of Compressive Strength of Concrete Containing ...

Prediction of Compressive Strength of Concrete Containing Industrial Wastes and Fibers Using Artificial Neural Network 1N ... ANN model is developed to predict the compressive strength of concrete containing industrial wastes and fibers using the results of the experiments conducted. In ANN, the input variables are multiplied by weights and the outputs are determined. Higher the weight

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Predicting the compressive strength of concrete containing ...

The purpose of this study was to predict the compressive strength of concrete containing MK using an artificial neural network with a backpropagation algorithm considering the parameters including physical and chemical, influencing the compressive strength of MK concrete, including the physical and chemical characteristics of MK. The limitations of experimental tests were overcome by ...

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Prediction of compressive strength of concrete containing ...

Prediction of compressive strength of concrete containing fly ash using data mining techniques Francisco F.Martins 1 and Aires Camões 2 1 Associate Professor, C-TAC/UM, Territory, Environment and Construction Research Centre, University of Minho, Guimarães, Portugal. Email: [email protected] 2 Assistant Professor, C-TAC/UM, Territory, Environment and Construction Research Centre ...

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Prediction of compressive strength of concrete containing ...

DOI: 10.1016/J.COMMATSCI.2007.04.009 Corpus ID: 136696934. Prediction of compressive strength of concrete containing fly ash using artificial neural networks and fuzzy logic @article{Topcu2008PredictionOC, title={Prediction of compressive strength of concrete containing fly ash using artificial neural networks and fuzzy logic}, author={Ilker Topcu and Mustafa Saridemir},

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Prediction of Compressive Strengh of Concrete Containing ...

In concrete mix design and quality control, the uniaxial compressive strength of concrete is considered as the most valuable property, which in turn is influenced by a number of factors. Various factors affect the concrete mix design like to designate a concrete as HPC, it should possess, in addition to good strength, several other favourable qualities. The water/cement (w/c) ratio in the ...

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Concrete Compressive Strength Prediction using Machine ...

05/03/2020  In this article, we are going to analyse Concrete Compressive Strength dataset and build Machine Learning models to predict the compressive strength. This notebook containing all the code can be used in parallel. Dataset Description. The dataset consists of 1030 instances with 9 attributes and has no missing values. There are 8 input variables ...

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Prediction of Compressive Strength of Concrete and Rock ...

05/04/2021  P. Chopra, R. K. Sharma, and M. Kumar, “Prediction of compressive strength of concrete using artificial neural network and genetic programming,” Advances in Materials Science and Engineering, vol. 2016, Article ID 7648467, 10 pages, 2016. View at: Publisher Site Google Scholar

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Prediction of the compressive strength of high-performance ...

In Ref. [12], the field compressive strength of concrete was dynamically predicted based only on the relationship between VP and the concrete compressive strength, which did not produce reliable results, Compared with the dynamic prediction program proposed in Reference [12], the neural network has better prediction performance. The input parameters used in the NN model presented in Ref. [15 ...

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Prediction of compressive strength of self-compacting ...

01/10/2011  In concrete mix design and quality control, the uniaxial compressive strength of concrete is considered as the most valuable property, which in turn is influenced by a number of factors. Various factors affect the concrete mix design like to designate a concrete as HPC, it should possesses, in addition to good strength, several other favourable qualities. The water/cement (w/c) ratio in the ...

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Prediction of Compressive Strength of Concrete Containing ...

Prediction of Compressive Strength of Concrete Containing Industrial Wastes and Fibers Using Artificial Neural Network 1N ... ANN model is developed to predict the compressive strength of concrete containing industrial wastes and fibers using the results of the experiments conducted. In ANN, the input variables are multiplied by weights and the outputs are determined. Higher the weight

Get Price

Prediction of compressive strength of concrete containing ...

Prediction of compressive strength of concrete containing fly ash using data mining techniques Francisco F.Martins 1 and Aires Camões 2 1 Associate Professor, C-TAC/UM, Territory, Environment and Construction Research Centre, University of Minho, Guimarães, Portugal. Email: [email protected] 2 Assistant Professor, C-TAC/UM, Territory, Environment and Construction Research Centre ...

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Prediction of compressive strength of concrete containing ...

In this study Artificial Neural Networks (ANNs) models were developed for predicting the compressive strength, at the age of 3, 7, 28 and 91 days, of concretes containing Construction and Demolition Waste (CDW). The experimental results used to construct the models were gathered from literature. A total of 1178 data was used for modeling ANN, 77.76% in the training phase, and 22.24% in the ...

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Prediction of compressive strength of concrete containing ...

DOI: 10.1016/J.COMMATSCI.2007.04.009 Corpus ID: 136696934. Prediction of compressive strength of concrete containing fly ash using artificial neural networks and fuzzy logic @article{Topcu2008PredictionOC, title={Prediction of compressive strength of concrete containing fly ash using artificial neural networks and fuzzy logic}, author={Ilker Topcu and Mustafa Saridemir},

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Prediction of compressive strength of concretes containing ...

Home Browse by Title Periodicals Advances in Engineering Software Vol. 40, No. 5 Prediction of compressive strength of concretes containing metakaolin and silica fume by artificial neural networks

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(PDF) PREDICTION OF COMPRESSIVE STRENGTH OF HIGH ...

This paper presents artificial neural network (ANN) based model to predict the compressive strength of concrete containing Industrial Byproducts at the age of 28, 56, 90 and 120 days. A total of 71 specimens were casted with twelve different concrete

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Prediction of the Compressive Strength of Recycled ...

To better detect the compressive strength of concrete, some scholars have studied prediction models for concrete compressive strength [21,22]. The basic properties of RAC must be verified by practical experiments, because concrete performance can be greatly affected by the composite material types and the amount of use. However, lab experiments usually require a great amount of manpower ...

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(PDF) Prediction of compressive strength of concrete using ...

The results of compressive strength have been tabulated below for the concrete containing manufactured sand and sand with two types of cement and at different water-cement ratios. Table 1: Compressive strength of concrete containing manufactured sand Days Cement Compressive strength (MPA) type Water-cement ratio (w/c) 0.45 0.50 0.55 0.60 28 40.10 38.47 37.95 35.26 90

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Optimization Model for Prediction of Compressive Strength ...

Optimization Model for Prediction of Compressive Strength of Concrete Containing Fly Ash and Quarry Dust Based on Scheffe’s Simplex Theory Ephraim, M. E.1, ThankGod, O.2, Nule,S. J.3 1, 2 Lecturer, Civil Engineering Department, Rivers State University, Port Harcourt, Nigeria 3PG Student, Civil Engineering Department, Rivers State University, Port Harcourt, Nigeria Corresponding author ...

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Prediction of Compressive Strength of Concrete and Rock ...

05/04/2021  P. Chopra, R. K. Sharma, and M. Kumar, “Prediction of compressive strength of concrete using artificial neural network and genetic programming,” Advances in Materials Science and Engineering, vol. 2016, Article ID 7648467, 10 pages, 2016. View at: Publisher Site Google Scholar

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