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Prediction of cementbased mortars compressive strength

Prediction of cementbased mortars compressive strength

Prediction of cement-based mortars compressive strength ...

2021-4-23  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 ...

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ANN prediction of cement mortar compressive strength ...

2017-5-1  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 abovementioned three types ...

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A comparative study of ANN and ANFIS models for the ...

Request PDF A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength Despite the extensive use of mortars materials in constructions ...

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Prediction of Compressive Strength of Calcined Clay

2021-8-18  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 ...

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On the metaheuristic models for the prediction of

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

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Surrogate models for the compressive strength mapping

2021-2-25  In particular, this study investigates the application of artificial neural networks (ANNs) models for the prediction of the compressive strength of cement-based mortars. Specifically, for the development and the training of the ANN models, a database consisting of 400 specimens, taken from the literature, is utilized.

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(PDF) Estimation of compressive strength of cement mortars

ESTIMATION OF COMPRESSIVE STRENGTH OF CEMENT MORTARS. R. TUĞRUL ERDEM. . , A. UĞUR OZT URK, ENGİN GÜCÜYEN. Department of Civil Engineering,

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Compressive strength prediction of environmentally ...

2018-3-1  Prediction of the compressive strength of high performance concrete mix using tree based modeling Int. J. Comput. Appl. , 6 ( 2010 ) , pp. 18 - 24 , 10.5120/1076-1406

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Compressive strength prediction of nano-silica ...

2017-2-5  The compressive strength testing of cement paste, mortar and concrete also confirmed that the optimum compressive strength is achieved for the mix with 8% nano-silica content. A numerical approach based on a hierarchical multiscale method was then proposed to predict the compressive strength of nano-silica integrated concrete.

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Prediction of Cement Compressive Strength Based on ...

Prediction of cement compressive strength was studied with accelerated curing methods, e.g. warm water and boiling water curing. The results indicate that fineness and the type of cements is few influencing on the 28-day compressive strength, and the difference is not distinct between the two methods. The boiling water fast-curing method is recommended since it doesn’t need additional ...

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Prediction of early compressive strength of mortars at ...

This paper presents an experimental and modeling study on the influence of curing temperature (T) and relative humidity (RH) on the development of early‐age compressive strength of cement mortars.By introducing an RH factor γ RH into the age conversion factor of concrete, a modified maturity function was proposed considering both effects of T and RH on the mechanical properties of mortars.

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Prediction of early compressive strength of mortars at ...

2020-8-18  This paper presents an experimental and modeling study on the influence of curing temperature (T) and relative humidity (RH) on the development of early-age compressive strength of cement mortars.By introducing an RH factor γ RH into the age conversion factor of concrete, a modified maturity function was proposed considering both effects of T and RH on the mechanical properties of mortars.

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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 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.

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Prediction of Compressive Strength of Calcined Clay Based ...

The trained models were used to predict the 28 day compressive strengths at w/c of 0.35 and 0.65 and also at a cement replacement of greater than 50% and also less than 35 %. The results showed that in training and testing, ANN exhibited stronger potential for predicting compressive strength at w/c of 0.35 and w/c of 0.65 than SVM.

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Prediction of compressive strength of concrete based on ...

2016-6-25  Moist curing of concrete is a time consuming procedure. It takes minimum 28 days of curing to obtain the characteristic strength of concrete. However, under certain situations such as shortage of time, weather conditions, on the spot changes in project and speedy construction, waiting for entire curing period becomes unaffordable. This situation demands early strength of concrete which can be ...

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Fuzzy Logic Model for the Prediction of Compressive ...

2015-5-5  Microstructural formation was related to the strength values of cement mortars, in the scope of this study. The established relationship was modeled by using fuzzy logic prediction model. Pore area, unhydrated part and hydrated part of cement mortars were addressed for microstructural investigations. These parameters were taken into account as area ratios for each.

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Prediction of Compressive Strength of In-Situ Concrete ...

2020-4-9  Prediction of Compressive Strength of In-Situ Concrete Based on Mixture Proportions Jee Namyong*1, Yoon Sangchun 2 and Cho Hongbum3 ... constituents relationship is based on the cement-water ratio, that is, the reciprocal value of w/c. Lyse made the formula, wherein concrete strength and cement

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Compressive Strength Prediction of Green Ultra-High ...

Predictions of the compressive strength of cement mortars have been made by researchers. Ly et al., Ding et al.made predictions for the strength of manufactured sand concrete. Dao et al.used an adaptive network-based fuzzy inference system (ANFIS) to predict the compressive strength of geopolymer concrete. Other researchers have used deep ...

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Prediction of Compressive Strength in High Strength ...

2020-3-1  In this study, a support vector machine model available in Weka Algorithms, was utilized to test the predictive capacity of compressive strength in high performance concrete (HSC) with steel fiber addition. To test the performance of the algorithm, a certain percentage were allocated for training of the algorithm, and the rest for test. This was done from 60-40 percent split up to 90-10 ...

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Prediction compressive strength of Portland cement-based ...

In the present study, compressive strength results of geopolymers produced by ordinary Portland cement (OPC) as aluminosilicate source have been modeled by artificial neural networks. Six main fact...

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Prediction of early compressive strength of mortars at ...

2020-8-18  This paper presents an experimental and modeling study on the influence of curing temperature (T) and relative humidity (RH) on the development of early-age compressive strength of cement mortars.By introducing an RH factor γ RH into the age conversion factor of concrete, a modified maturity function was proposed considering both effects of T and RH on the mechanical properties of mortars.

get price

Prediction of Compressive Strength of Calcined Clay Based ...

The trained models were used to predict the 28 day compressive strengths at w/c of 0.35 and 0.65 and also at a cement replacement of greater than 50% and also less than 35 %. The results showed that in training and testing, ANN exhibited stronger potential for predicting compressive strength at w/c of 0.35 and w/c of 0.65 than SVM.

get price

Prediction of Compressive Strength of In-Situ Concrete ...

2020-4-9  Prediction of Compressive Strength of In-Situ Concrete Based on Mixture Proportions Jee Namyong*1, Yoon Sangchun 2 and Cho Hongbum3 ... constituents relationship is based on the cement-water ratio, that is, the reciprocal value of w/c. Lyse made the formula, wherein concrete strength and cement

get price

Compressive Strength Prediction of Green Ultra-High ...

Predictions of the compressive strength of cement mortars have been made by researchers. Ly et al., Ding et al.made predictions for the strength of manufactured sand concrete. Dao et al.used an adaptive network-based fuzzy inference system (ANFIS) to predict the compressive strength of geopolymer concrete. Other researchers have used deep ...

get price

Predictive modeling of concrete compressive strength

2014-11-25  Predictive modeling of concrete compressive strength based on cement strength class Fig. 2 Overview of the concrete compressive strength estimation section of the software package strength of the C 3 S or C 2 S phase. As these phases (C 3 A and C 4 AF) are present at a low concentration in cement, it is principally the product of C 3

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Compressive strength prediction of recycled concrete

2020-3-16  Compressive strength prediction of recycled concrete based on deep learning Fangming Denga, Yigang Hed,⇑, Shuangxi Zhoub,⇑, Yun Yuc, Haigen Chengb, Xiang Wua a School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, China bSchool of Civil Engineering and Architecture, East China Jiaotong University, Nanchang 330013, China

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Prediction of the Compressive Strength of Recycled ...

To predict the compressive strength of the self-compacting high-strength concrete mixed with silica fume, fly ash, and blast furnace slag aggregates, Jamaldin et al. established a neural network model, based on which they obtained good predictions of the experimental results. At present, ANN is mainly used to predict the compressive strength of ...

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Prediction of the compressive strength of high

2021-5-3  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.

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Prediction of Compressive Strength in High Strength ...

2020-3-1  In this study, a support vector machine model available in Weka Algorithms, was utilized to test the predictive capacity of compressive strength in high performance concrete (HSC) with steel fiber addition. To test the performance of the algorithm, a certain percentage were allocated for training of the algorithm, and the rest for test. This was done from 60-40 percent split up to 90-10 ...

get price