prediction of cementbased mortars compressive strength

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Prediction of cement-based mortars compressive strength ...

Apr 23, 2021  10%  The present study collected 424 laboratory data from the available literature (referenced below) to develop intelligent models for the prediction of cement-based mortars compressive strength (CS). After reviewing the data, the importance of each parameter was examined and the relationship between them was identified.

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Prediction of cement-based mortars compressive strength ...

However, as metakaolin affects the mechanical performance of cement-based mortars, it is important to know the compressive strength that these blended mortars achieve at 28-days, in terms of ...

Get price

An approach for predicting the compressive strength of ...

In this paper, a support vector machine (SVM) model which can be used to predict the compressive strength of mortars exposed to sulfate attack was established. An accelerated corrosion test was applied to collect compressive strength data. For predicting the compressive strength of mortars

Get price

ANN prediction of cement mortar compressive strength ...

May 01, 2017  May 01, 2017  An artificial neural network (ANN) study is presented to predict the compressive strength (Fc) of mortar mixtures containing different cement strength classes of CME 32.5, 42.5, and 52.5 MPa.For this purpose, 54 mixtures considering six water/cement ratios (W/C) (0.25, 0.3, 0.35, 0.4, 0.45, and 0.5) and three sand/cement ratios (S/C) (2.5, 2.75, and 3) along with the

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Prediction of Mortar Compressive Strengths for Different ...

Jan 01, 2016  The compressive strength values of cement mortar usually affect by sodium chloride quantities, chemical admixtures and cement grades so that an artificial neural network model was performed to predict the compressive strength of mortar value for different cement grades and sodium chloride (NaCl) percent.

Get price

An approach for predicting the compressive strength of ...

Jan 18, 2018  In this paper, a support vector machine (SVM) model which can be used to predict the compressive strength of mortars exposed to sulfate attack was established. An accelerated corrosion test was applied to collect compressive strength data. For predicting the compressive strength of mortars, a total of 638 data samples obtained from experiment was chosen as a dataset to establish

Get price

Prediction of cement-based mortars compressive strength ...

Apr 23, 2021  The present study collected 424 laboratory data from the available literature (referenced below) to develop intelligent models for the prediction of cement-based mortars compressive strength (CS). After reviewing the data, the importance of each parameter was examined and the relationship between them was identified.

Get price

Prediction of cement-based mortars compressive strength ...

However, as metakaolin affects the mechanical performance of cement-based mortars, it is important to know the compressive strength that these blended mortars achieve at 28-days, in terms of ...

Get price

An approach for predicting the compressive strength of ...

In this paper, a support vector machine (SVM) model which can be used to predict the compressive strength of mortars exposed to sulfate attack was established. An accelerated corrosion test was applied to collect compressive strength data. For predicting the compressive strength of mortars

Get price

Prediction of Mortar Compressive Strengths for Different ...

Jan 01, 2016  Jan 01, 2016  The compressive strength values of cement mortar usually affect by sodium chloride quantities, chemical admixtures and cement grades so that an artificial neural network model was performed to predict the compressive strength of mortar value for different cement grades and sodium chloride (NaCl) percent.

Get price

Prediction of Compressive Strength of Calcined Clay Based ...

Prediction of strength in cement based materials is vital in construction industry as it forms the basis upon which important ... Compressive strengths for the mortars. 2.2.2 Machine Learning The 2, 7 and 28 days laboratory data was processed before it was fitted to the model. This involved selecting

Get price

ANN prediction of cement mortar compressive strength ...

May 01, 2017  May 01, 2017  An artificial neural network (ANN) study is presented to predict the compressive strength (Fc) of mortar mixtures containing different cement strength classes of CME 32.5, 42.5, and 52.5 MPa.For this purpose, 54 mixtures considering six water/cement ratios (W/C) (0.25, 0.3, 0.35, 0.4, 0.45, and 0.5) and three sand/cement ratios (S/C) (2.5, 2.75, and 3) along with the

Get price

Prediction of compressive strength development for blended ...

Feb 15, 2021  The calculated gel/(gel + pore) and its corresponding compressive strength obtained in experiments are plotted in Fig. 1.As we can see in Fig. 1(a) to (c), whether cement is replaced by coarse quartz or fly ash (FAA and FAC), the compressive strength of mortar has a good linear relationship with gel/(gel + pore), and all the correlations have reached 97% in this experiments.

Get price

An approach for predicting the compressive strength of ...

Jan 18, 2018  In this paper, a support vector machine (SVM) model which can be used to predict the compressive strength of mortars exposed to sulfate attack was established. An accelerated corrosion test was applied to collect compressive strength data. For predicting the compressive strength of mortars, a total of 638 data samples obtained from experiment was chosen as a dataset

Get price

Mathematical prediction of the compressive strength of ...

May 04, 2021  For example, Bundur et al. reported that bacterial mortar's compressive strength improved (specifically, at 7, 28 and 56 days) compared to the control mix. The improvement in compressive strength was attributed to the precipitation of calcium carbonate, which filled the pores and thus enhanced the concrete microstructure.

Get price

Proposed a model for compressive strength of cement

Keywords: Cement based mortars, Compressive strength, Multi expression programing, Estimation. 1. INTRODUCTION Since the primary material of concrete and concrete components is cement mortar, identifying its features and properties is very important. Cement mortar itself is composed of different materials, recently many

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Various simulation techniques to predict the compressive ...

Mar 02, 2021  From the histogram of compressive strength for cement mortar up to 180 days of curing (Fig. 2c), 32% of the data out of the overall 450 compressive strength varied from 20 to 40 MPa as shown in Fig. 3. More than 4% of the compressive strength of the cement mortar modified with SF data was 25 MPa out of maximum compressive strength reported of ...

Get price

Prediction of Concrete Compressive Strength by ...

Compressive strength of concrete has been predicted using evolutionary artificial neural networks (EANNs) as a combination of artificial neural network (ANN) and evolutionary search procedures, such as genetic algorithms (GA). In this paper for purpose of constructing models samples of cylindrical concrete parts with different characteristics have been used with 173 experimental data patterns.

Get price

On the metaheuristic models for the prediction of cement ...

compressive strength of the cement-based mortars; this is an important finding, because these parameters are usually not taken into account in the research studies concerned in the prediction of compressive strength through

Get price

[PDF] Prediction of Compressive Strength of Calcined Clay ...

Prediction of strength in cement based materials is vital in construction industry as it forms the basis upon which important tasks can be performed such as the time for mortar form removal, project scheduling and quality control among others. The paper reports both experimental and simulated findings on compressive strength of laboratory prepared blended cement mortars.

Get price

Prediction of cement-based mortars compressive strength ...

Apr 23, 2021  The present study collected 424 laboratory data from the available literature (referenced below) to develop intelligent models for the prediction of cement-based mortars compressive strength (CS). After reviewing the data, the importance of each parameter was examined and the relationship between them was identified.

Get price

Prediction of cement-based mortars compressive strength ...

However, as metakaolin affects the mechanical performance of cement-based mortars, it is important to know the compressive strength that these blended mortars achieve at 28-days, in terms of ...

Get price

An approach for predicting the compressive strength of ...

In this paper, a support vector machine (SVM) model which can be used to predict the compressive strength of mortars exposed to sulfate attack was established. An accelerated corrosion test was applied to collect compressive strength data. For predicting the compressive strength of mortars

Get price

Prediction of Mortar Compressive Strengths for Different ...

Jan 01, 2016  Jan 01, 2016  The compressive strength values of cement mortar usually affect by sodium chloride quantities, chemical admixtures and cement grades so that an artificial neural network model was performed to predict the compressive strength of mortar value for different cement grades and sodium chloride (NaCl) percent.

Get price

Prediction of Compressive Strength of Calcined Clay Based ...

Prediction of strength in cement based materials is vital in construction industry as it forms the basis upon which important ... Compressive strengths for the mortars. 2.2.2 Machine Learning The 2, 7 and 28 days laboratory data was processed before it was fitted to the model. This involved selecting

Get price

ANN prediction of cement mortar compressive strength ...

May 01, 2017  May 01, 2017  An artificial neural network (ANN) study is presented to predict the compressive strength (Fc) of mortar mixtures containing different cement strength classes of CME 32.5, 42.5, and 52.5 MPa.For this purpose, 54 mixtures considering six water/cement ratios (W/C) (0.25, 0.3, 0.35, 0.4, 0.45, and 0.5) and three sand/cement ratios (S/C) (2.5, 2.75, and 3) along with the

Get price

Prediction of compressive strength development for blended ...

Feb 15, 2021  The calculated gel/(gel + pore) and its corresponding compressive strength obtained in experiments are plotted in Fig. 1.As we can see in Fig. 1(a) to (c), whether cement is replaced by coarse quartz or fly ash (FAA and FAC), the compressive strength of mortar has a good linear relationship with gel/(gel + pore), and all the correlations have reached 97% in this experiments.

Get price

An approach for predicting the compressive strength of ...

Jan 18, 2018  In this paper, a support vector machine (SVM) model which can be used to predict the compressive strength of mortars exposed to sulfate attack was established. An accelerated corrosion test was applied to collect compressive strength data. For predicting the compressive strength of mortars, a total of 638 data samples obtained from experiment was chosen as a dataset

Get price

Mathematical prediction of the compressive strength of ...

May 04, 2021  For example, Bundur et al. reported that bacterial mortar's compressive strength improved (specifically, at 7, 28 and 56 days) compared to the control mix. The improvement in compressive strength was attributed to the precipitation of calcium carbonate, which filled the pores and thus enhanced the concrete microstructure.

Get price

Proposed a model for compressive strength of cement

Keywords: Cement based mortars, Compressive strength, Multi expression programing, Estimation. 1. INTRODUCTION Since the primary material of concrete and concrete components is cement mortar, identifying its features and properties is very important. Cement mortar itself is composed of different materials, recently many

Get price

Various simulation techniques to predict the compressive ...

Mar 02, 2021  From the histogram of compressive strength for cement mortar up to 180 days of curing (Fig. 2c), 32% of the data out of the overall 450 compressive strength varied from 20 to 40 MPa as shown in Fig. 3. More than 4% of the compressive strength of the cement mortar modified with SF data was 25 MPa out of maximum compressive strength reported of ...

Get price

Prediction of Concrete Compressive Strength by ...

Compressive strength of concrete has been predicted using evolutionary artificial neural networks (EANNs) as a combination of artificial neural network (ANN) and evolutionary search procedures, such as genetic algorithms (GA). In this paper for purpose of constructing models samples of cylindrical concrete parts with different characteristics have been used with 173 experimental data patterns.

Get price

On the metaheuristic models for the prediction of cement ...

compressive strength of the cement-based mortars; this is an important finding, because these parameters are usually not taken into account in the research studies concerned in the prediction of compressive strength through

Get price

[PDF] Prediction of Compressive Strength of Calcined Clay ...

Prediction of strength in cement based materials is vital in construction industry as it forms the basis upon which important tasks can be performed such as the time for mortar form removal, project scheduling and quality control among others. The paper reports both experimental and simulated findings on compressive strength of laboratory prepared blended cement mortars.

Get price
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