### 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-destructive test results Hamit Erdal 1 , Mürsel Erdal 2 , Osman Şim ş ek 2 and Halil İbrahim Erdal 3 1 Institute of Social Sciences ...

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.

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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### 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.

Get price### 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...

Get price### 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

Get price### Concrete Compressive Strength Prediction Using Neural ...

07/10/2020 Most studies suggested using the combination of NDTs to estimate the compressive strength of concrete structures because it will increase the accuracy of estimation [ 12, 13, 14, 15 ]. Among NDTs, rebound hammer (RN) and ultrasonic pulse velocity (UPV) are more common tests to assess the compressive strength of concrete structures [ 15 ].

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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.

Get price### GitHub - swethalahari/Determining-Concrete-Strength ...

17/01/2020 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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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### 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

Get price### 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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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### PREDICTING CONCRETE COMPRESSIVE STRENGTH BY DIFFERENT NON

PREDICTING CONCRETE COMPRESSIVE STRENGTH BY DIFFERENT NON-DESTRUCTIVE TEST (NDT) AND SEMI DESTRUCTIVE TEST (SDT) TECHNIQUES. Download. Related Papers. Non-destructive Evaluation of In-Service Concrete Structures Affected by Alkali-Silica Reaction (ASR) or Delayed Ettringite Formation (DEF) By Kevin Folliard and Kerry Kreitman. REBOUND HAMMER

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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### Concrete Compressive Strength Prediction using Machine ...

05/03/2020 Concrete Compressive Strength Prediction using Machine Learning. Applying Machine Learning to Civil Engineering. Pranay Modukuru . Mar 5, 2020 10 min read. Concrete Compressive Strength. The Compressive Strength of Concrete determines the quality of Concrete. This is generally determine d by a standard crushing test on a concrete cylinder. This requires engineers to build small concrete ...

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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 ...

Get price### 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.

Get price### 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).

Get price### 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 ...

Get price### Concrete compressive strength prediction using non ...

View 5 peer reviews of Concrete compressive strength prediction using non-destructive tests through response surface methodology on Publons Download Web of Science™ My Research Assistant : Bring the power of the Web of Science to your mobile device, wherever inspiration strikes.

Get price### PREDICTING CONCRETE COMPRESSIVE STRENGTH BY DIFFERENT NON

PREDICTING CONCRETE COMPRESSIVE STRENGTH BY DIFFERENT NON-DESTRUCTIVE TEST (NDT) AND SEMI DESTRUCTIVE TEST (SDT) TECHNIQUES. Download. Related Papers. Non-destructive Evaluation of In-Service Concrete Structures Affected by Alkali-Silica Reaction (ASR) or Delayed Ettringite Formation (DEF) By Kevin Folliard and Kerry Kreitman. REBOUND HAMMER

Get price### Prediction of Concrete Compressive Strength by Means of ...

Prediction of Concrete Compressive Strength by Means of Combined Non-Destructive Testing ... [15] RILEM NDT 4: Recommendation for in situ concrete strength determination by non destructive combined methods, Compendium of RILEM Technical Recommendations, EFN Spon, London (1993). [16] A. Di Leo, G. Pascale: Il giornale delle prove non distruttive, 4, (1994). [17] J. Gasparik, in:

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

The prediction of compressive strength and non-destructive tests of sustainable concrete by using artificial neural networks Tahwia, Ahmed M. (Civil Engineering Department, Faculty of Engineering, Mansoura University) ;

Get price### Mathematical Regression Model for the Prediction of ...

Abstract: - In this study a new mathematical models were proposed and developed using non-linear regression equation for the prediction of concrete compressive strength at different ages. The variables used in the prediction models were from the knowledge of the mix itself, i.e. mix proportion elements. According to the analysis the models provide good estimation of compressive strength

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 ...

Get price### 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.

Get price### EXPERIMENTAL STUDIES ON THE HOMOGENEITY AND COMPRESSIVE

homogeneity and strength prediction of the concrete. The measurement was done using a non-destructive instrument called Ultrasonic Pulse Velocity (UPV). This paper presents a series of experiments investigating homogeneity and predicting compressive strength using both Destructive and Non-Destructive Tests (NDT). To do so, three steps in the ...

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