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concrete compressive strength prediction using non

concrete compressive strength prediction using non

Concrete compressive strength prediction using non ...

01/12/2020  In this paper, a model proposed to estimate the compressive strength of concrete using non-destructive tests. To this aim, RSM used as an accurate model to estimate the compressive strength and it compared with other available models in the literature. The results showed the accuracy of RSM is more and can predict the compressive strength with reasonable accuracy in different ages of concrete ...

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Prediction of concrete compressive strength using non ...

Prediction of concrete compressive strength using non-destructive test results Hamit Erdal, Mursel Erdal, Osman Simsek and Halil Ibrahim Erdal : Abstract Concrete which is a composite material is one of the most important construction materials. Compressive strength is a commonly used parameter for the assessment of concrete quality. Accurate prediction of concrete compressive strength is an ...

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Prediction of concrete compressive strength using non ...

Prediction of concrete compressive strength using non-destructive test results Hamit Erdal 1 , Mürsel Erdal 2 , Osman Şim ş ek 2 and Halil İbrahim Erdal 3 1 Institute of Social Sciences ...

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Prediction of Concrete Compressive Strength Using Non ...

Prediction of concr ete compressive str e ngth using non-destructive test r esults Fig. 4 Box plots of actual strength and predicted strength distributions of the predicti ve models for 5-fold cross

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Non-Destructive Prediction of Concrete Compressive ...

01/01/2017  Non-Destructive Prediction of Concrete Compressive Strength Using Neural Networks Adnan Khashman1 and Pinar Akpinar 2 1Final International University, Faculty of Engineering, Girne, Mersin 10 Turkey. 2Near East University, Civil Engineering Department, Lefkosa, Mersin 10, Turkey 1,2European Centr for Research and Academic Af airs, PO Box 1045, Lefko a, Mersin 10, Turkey.

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Concrete compressive strength prediction using non ...

Abstract Assessment of existing structures especially compressive strength evaluation of concrete structures is an important topic for engineers working in construction in most industrial countries. Non-destructive tests (NDT), especially ultrasonic pulse velocity and rebound number tests are mostly wide spread techniques to predict the compressive strength of exiting concrete structures.

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Prediction of concrete compressive strength using non ...

Prediction of concrete compressive strength using non-destructive test results Hamit Erdal, Mursel Erdal, Osman Simsek and Halil Ibrahim Erdal : Abstract Concrete which is a composite material is one of the most important construction materials. Compressive strength is a commonly used parameter for the assessment of concrete quality. Accurate prediction of concrete compressive strength is an ...

get price

Prediction of Concrete Compressive Strength Using Non ...

Prediction of concr ete compressive str e ngth using non-destructive test r esults Fig. 4 Box plots of actual strength and predicted strength distributions of the predicti ve models for 5-fold cross

get price

Concrete compressive strength prediction using non ...

Abstract Assessment of existing structures especially compressive strength evaluation of concrete structures is an important topic for engineers working in construction in most industrial countries. Non-destructive tests (NDT), especially ultrasonic pulse velocity and rebound number tests are mostly wide spread techniques to predict the compressive strength of exiting concrete structures.

get price

Non-Destructive Prediction of Concrete Compressive ...

01/01/2017  Non-Destructive Prediction of Concrete Compressive Strength Using Neural Networks Adnan Khashman1 and Pinar Akpinar 2 1Final International University, Faculty of Engineering, Girne, Mersin 10 Turkey. 2Near East University, Civil Engineering Department, Lefkosa, Mersin 10, Turkey 1,2European Centr for Research and Academic Af airs, PO Box 1045, Lefko a, Mersin 10,

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Prediction of concrete compressive strength using non ...

Accurate prediction of concrete compressive strength is an important issue. In this study, we utilized an experimental procedure for the assessment of concrete quality. Firstly, the concrete mix was prepared according to C 20 type concrete, and slump of fresh concrete was about 20 cm. After the placement of fresh concrete to formworks, compaction was achieved using a vibrating screed. After

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Concrete Compressive Strength Prediction Using Neural ...

Request PDF Concrete Compressive Strength Prediction Using Neural Networks Based on Non-destructive Tests and a Self-calibrated Response Surface Methodology

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PREDICTION OF CONCRETE COMPRESSIVE STRENGTH USING ...

equation for the prediction of concrete compressive strength at different ages (e.g. 7 and 28 days). The variables used in the prediction models were from the knowledge of the mix itself, i.e. mix proportion elements (cement, water, sand, aggregate and density). The proposed model proved to be a major tool in predicting compressive strength of different concretes from a ready mix (RMX) plant ...

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Predicting concrete compressive strength using hybrid ...

01/07/2021  Prediction model for compressive strength of basic concrete mixture using artificial neural networks Neural Comput. Applic. , 26 ( 2015 ) , pp. 1005 - 1024 , 10.1007/s00521-014-1763-1

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Prediction of Concrete Compressive Strength and Slump by ...

29/11/2019  Topçu and Sarıdemir and Başyiğit et al. developed models using the neural network (NN) and fuzzy logic (FL) methods to improve the prediction accuracy of the compressive strength of the mineral-additive (fly ash) concrete and heavy-weight concrete. Both studies concluded that the compressive strength could be predicted by using the models that were developed with the NN and

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Concrete Compressive Strength Prediction With ... - GitHub

01/12/2020  Concrete compressive strength prediction with machine learning using the R Caret package. - GitHub - PedroBern/concrete-compressive-strength-prediction: Concrete compressive strength prediction with machine learning using the R Caret package.

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Concrete compressive strength prediction using non ...

Abstract Assessment of existing structures especially compressive strength evaluation of concrete structures is an important topic for engineers working in construction in most industrial countries. Non-destructive tests (NDT), especially ultrasonic pulse velocity and rebound number tests are mostly wide spread techniques to predict the compressive strength of exiting concrete structures.

get price

Concrete Compressive Strength Prediction Using Neural ...

Request PDF Concrete Compressive Strength Prediction Using Neural Networks Based on Non-destructive Tests and a Self-calibrated Response Surface Methodology

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Prediction of concrete compressive strength using non ...

Prediction of concrete compressive strength using non-destructive test results concrete;compressive strength;machine learning regression;non-destructive testing; Concrete which is a composite material is one of the most important construction materials. Compressive strength is a commonly used parameter for the assessment of concrete quality ...

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The prediction of compressive strength and non-destructive ...

The prediction of the compressive strength of concrete using non-destructive techniques is of interest to engineers worldwide. Such methods are easy to carry out because they require little or no ...

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Prediction of concrete compressive strength by combined ...

30/01/2014  The compressive strength of concrete f c is one of most important mechanical parameter in the performance assessment of existing reinforced concrete (RC) structures. Many non-destructive testing methods have been developed to estimate the in situ value of f c.In particular, the combination of rebound hammer and ultrasonic pulse velocity (UPV) tests, known as SonReb method, is frequently

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PREDICTION OF CONCRETE COMPRESSIVE STRENGTH USING ...

equation for the prediction of concrete compressive strength at different ages (e.g. 7 and 28 days). The variables used in the prediction models were from the knowledge of the mix itself, i.e. mix proportion elements (cement, water, sand, aggregate and density). The proposed model proved to be a major tool in predicting compressive strength of different concretes from a ready mix (RMX) plant ...

get price

Prediction of Concrete Compressive Strength and Slump by ...

29/11/2019  Topçu and Sarıdemir and Başyiğit et al. developed models using the neural network (NN) and fuzzy logic (FL) methods to improve the prediction accuracy of the compressive strength of the mineral-additive (fly ash) concrete and heavy-weight concrete. Both studies concluded that the compressive strength could be predicted by using the models that were developed with the NN and

get price

Compressive strength prediction of recycled concrete based ...

Recycled concrete Compressive strength Prediction model Deep learning Convolution neural network abstract Considering on the current difficulties of predicting the compressive strength of recycled aggregate con-crete, this paper proposes a prediction model based on deep learning theory. First, the deep features of water-cement ratio, recycled coarse aggregate replacement ratio, recycled fine ...

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Concrete Compressive Strength Prediction With ... - GitHub

01/12/2020  Concrete compressive strength prediction with machine learning using the R Caret package. - GitHub - PedroBern/concrete-compressive-strength-prediction: Concrete compressive strength prediction with machine learning using the R Caret package.

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GitHub - swethalahari/Determining-Concrete-Strength ...

16/01/2020  Goal Using the data available in file concrete_data.xls. Apply feature engineering methods to obtain 85% to 95% accuracy (tolerance limit 95% of the time (confidence level).

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