concrete mix networks

(PDF) Artificial Neural Network for Concrete Mix Design

In this paper, an artificial neural network is being used to predict the concrete mix ratio to achieve the desired strength. The parameters such as, 28-day strength, maximum gravel size, presence ...

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[PDF] Concrete Mix Design Using Artificial Neural Network ...

Concrete mix design is a process based on sound technical principles for proportioning of ingredients in right quantities. This paper demonstrates the applicability of Artificial Neural Networks (ANN) Model for approximate proportioning of concrete mixes. For ANN a trained back propagation neural network is integrated in the model to learn experimental data pertaining to predict 7, 14 and 28 ...

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Concrete Mix Design - The Best Concrete Mix - Concrete

2020-9-17  Using the ACI 211.1 method, here is an abbreviated run-through on how to design a mix: Choose the maximum aggregate size—remember that the larger the better for reducing shrinkage and curling. Estimate the water and air content using ACI 211.1

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Modified harmony search algorithm and neural networks

This study proposes a new methodology with harmony search (HS) algorithm and neural networks (NNs) for concrete mix proportioning. The basic procedure for the methodology consists of four steps: (1) constructing a database of mix designs; (2) establishing appropriate models for strength and workability; (3) optimizing mix proportion using the modified HS algorithm; and (4) refining the mixture ...

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A concrete mix proportion design algorithm based on ...

2006-7-1  A concrete mix proportion design algorithm based on a way from aggregates to paste, a least paste content, Modified Tourfar's Model and artificial neural networks (ANNs) was proposed. The proposed concrete mix proportion design algorithm is expected to reduce the number of trial and error, save cost, laborers and time.

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Using an Artificial Neural Network to Predict Mix ...

2014-12-24  An artificial neural network (ANN) has a wide application field for mathematical problems. Specifically, an ANN is successfully applied to problems that are difficult to solve or do not have any information on their operating techniques. In this article, an ANN was applied to predict the concrete mix composition for steel fiber-reinforced concrete (SFRC). Thus, an ANN model was developed and ...

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Optimization of concrete mix proportioning using a ...

2008-11-26  The primary objective of this research was to combine three technologies, namely design of experiments (DOE), artificial neural network (ANN), and mathematical programming (MP), into an integrated methodology for mixing concrete containing SP, fly ash, and slag, consistent with desirable structural grade concrete properties. The function of DOE and ANN is to reduce the number of test

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UCI Machine Learning Repository: Concrete Compressive ...

I-Cheng Yeh, "A mix Proportioning Methodology for Fly Ash and Slag Concrete Using Artificial Neural Networks," Chung Hua Journal of Science and Engineering, Vol. 1, No. 1, pp. 77-84 (2003). 6. Yeh, I-Cheng, "Analysis of strength of concrete using design of experiments and neural networks," Journal of Materials in Civil Engineering, ASCE, Vol.18 ...

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The Importance of Concrete Mix Design Concrete Supply

A quality concrete mix design is crucial for successful construction. At Concrete Supply Co., we sleep better at night knowing our end-to-end ready mix concrete solution meets the highest quality performance in concrete, and our integrity in doing so is

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The Association for Concrete-friends at RISE RISE

2021-11-10  The Association for Concrete-friends at RISE gathers industrial and public authority members in a forum for discussion about most actual subjects within material and construction areas. The purpose of the association is to create a direct contact between member company employees and RISE experts in the concrete, stone and aggregate area.

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(PDF) Artificial Neural Network for Concrete Mix Design

In this paper, an artificial neural network is being used to predict the concrete mix ratio to achieve the desired strength. The parameters such as, 28-day strength, maximum gravel size, presence ...

Read More
[PDF] Concrete Mix Design Using Artificial Neural Network ...

Concrete mix design is a process based on sound technical principles for proportioning of ingredients in right quantities. This paper demonstrates the applicability of Artificial Neural Networks (ANN) Model for approximate proportioning of concrete mixes. For ANN a trained back propagation neural network is integrated in the model to learn experimental data pertaining to predict 7, 14 and 28 ...

Read More
Concrete Mix Design Using Neural Network

Concrete Mix Design Using Neural Network. Authors: Rama Shanker, Anil Kumar Sachan. Abstract: Basic ingredients of concrete are cement, fine aggregate, coarse aggregate and water. To produce a concrete of certain specific properties, optimum proportion of these ingredients are mixed. The important factors which govern the mix design are grade ...

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Using an Artificial Neural Network to Predict Mix ...

2014-12-24  An artificial neural network (ANN) has a wide application field for mathematical problems. Specifically, an ANN is successfully applied to problems that are difficult to solve or do not have any information on their operating techniques. In this article, an ANN was applied to predict the concrete mix composition for steel fiber-reinforced concrete (SFRC). Thus, an ANN model was developed and ...

Read More
Concrete Materials - Mix Components - Concrete Network

SCMs are used as replacement for cement, and since they have a very small particle size, they reduce the permeability of concrete, which is good. Fly ash is the most common SCM and it improves finishability, although it tends to slow the set time, especially in

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A Computer-Aided Approach to Pozzolanic Concrete Mix

Pozzolanic concrete has superior properties, such as high strength and workability. The precise proportioning and modeling of the concrete mixture are important when considering its applications. There have been many efforts to develop computer-aided approaches for pozzolanic concrete mix design, such as artificial neural network- (ANN-) based approaches, but these approaches have

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Compressive strength prediction of recycled concrete

2018-6-30  Thus accurate intensity prediction could be realized through a certain training and iteration. A 7-20-3 BP neural network model is employed in to predict the recycled concrete slump. In , the neural network model and ultrasonic pulse velocity test are proposed to predict the concrete compressive strength. Although BP neural network shows good ...

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Modeling compressive strength of EPS lightweight

2013-5-1  Highlights For the first time, models developed for prediction of the strength properties of EPS concrete. Robust ANN and ANFIS models proposed for predicting the compressive strength of EPS concrete. The overall performance of trained ANN is more accurate than ANFIS model. Such robust models could be easily utilized for EPS concrete mix proportioning as a problem with high complexities ...

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The Importance of Concrete Mix Design Concrete Supply

A quality concrete mix design is crucial for successful construction. At Concrete Supply Co., we sleep better at night knowing our end-to-end ready mix concrete solution meets the highest quality performance in concrete, and our integrity in doing so is

Read More
Prediction of Concrete Properties Using Multiple Linear ...

The selection of appropriate type and grade of concrete for a particular application is the critical step in any construction project. Workability and compressive strength are the two significant parameters that need special attention. This study aims to predict the slump along with 7-days 28-days compressive strength based on the data collected from various RMC plants.

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(PDF) Artificial Neural Network for Concrete Mix Design

In this paper, an artificial neural network is being used to predict the concrete mix ratio to achieve the desired strength. The parameters such as, 28-day strength, maximum gravel size, presence ...

Read More
[PDF] Concrete Mix Design Using Artificial Neural Network ...

Concrete mix design is a process based on sound technical principles for proportioning of ingredients in right quantities. This paper demonstrates the applicability of Artificial Neural Networks (ANN) Model for approximate proportioning of concrete mixes. For ANN a trained back propagation neural network is integrated in the model to learn experimental data pertaining to predict 7, 14 and 28 ...

Read More
Concrete Mix Design Using Neural Network

Concrete Mix Design Using Neural Network. Authors: Rama Shanker, Anil Kumar Sachan. Abstract: Basic ingredients of concrete are cement, fine aggregate, coarse aggregate and water. To produce a concrete of certain specific properties, optimum proportion of these ingredients are mixed. The important factors which govern the mix design are grade ...

Read More
Concrete Mix Design Using Artificial Neural Network

Concrete Mix Design Using Artificial Neural Network 31 Journal on Today’s Ideas – Tomorrow’s Technologies (JOTITT), Volume 1, Number 1, June 2013 interconnections. Neural networks might be single-or multi layered.

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Concrete Materials - Mix Components - Concrete Network

SCMs are used as replacement for cement, and since they have a very small particle size, they reduce the permeability of concrete, which is good. Fly ash is the most common SCM and it improves finishability, although it tends to slow the set time, especially in

Read More
How to Mix Concrete in a Bucket, Wheelbarrow or Mixer ...

How to do it: Dump the required amount of bagged mix into the bucket, form a depression in the middle of the mix, and then slowly add about three-quarters of the amount of water called for per the package directions. (If you don’t need to use the entire bag, remember to adjust the amount of water accordingly.)

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Establishing a Mix Design Procedure for Geopolymer

2016-5-24  compressive strength, to create artificial neural networks (ANNs). These ANNs learnt from the input data and output a compressive strength for each input line of data. This output value was obtained via set algorithms based on ... Concrete Mix Design from database..... 26 3.1.7 Ground-granulated Blast-furnace Slag Concrete Mix Design ...

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Modeling compressive strength of EPS lightweight

2013-5-1  Highlights For the first time, models developed for prediction of the strength properties of EPS concrete. Robust ANN and ANFIS models proposed for predicting the compressive strength of EPS concrete. The overall performance of trained ANN is more accurate than ANFIS model. Such robust models could be easily utilized for EPS concrete mix proportioning as a problem with high complexities ...

Read More
The Importance of Concrete Mix Design Concrete Supply

A quality concrete mix design is crucial for successful construction. At Concrete Supply Co., we sleep better at night knowing our end-to-end ready mix concrete solution meets the highest quality performance in concrete, and our integrity in doing so is

Read More
EVALUATION OF CONCRETE COMPRESSIVE STRENGTH

EVALUATION OF CONCRETE COMPRESSIVE STRENGTH USING ARTIFICIAL « 425 Ó= =0 + ÃIF =1 =F: F (1) ZKHUHÓLVWKHPRGHOCVRXWSXW : F `s are the independant input variables to the model, and =0,=1,=2,å ,=I are partial regression coefficients. 2.2 Artificial neural network model Artificial neural network (ANN) is a collection of neural and weighted nodes which each of

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