prdiction of day compressive strength of concrete

(PDF) Prediction of 28-day compressive strength of concrete on

Therefore it can be used as an important parameter for prediction of this system. In other words, the 3-day compressive strength of concrete is a very good criterion to achieve the 28-day compressive strength. It is conceived from figure.3 that the higher the 3-day compressive strength the higher is the 28- day compressive strength of the concrete.

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Prediction of compressive strength of concrete from early age

simple mathematical model based on concrete’s nature of strength gain to predict the compressive strength of concrete at 28th day from early age results. The model is a simple equation known as a rational polynomial. The proposed model has a good potential to predict concrete strength at different age with high accuracy.

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(PDF) Early Age Tests to Predict 28 Days Compressive Strength of

Concrete mix design by ACI method is popularly used in Bangladesh for producing concrete of required strength, but for determining its compressive strength one has to wait 28-day after casting.

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Water-Cement-Density Ratio Law for the 28-Day Compressive

In the present contribution, the water-cement-density ratio law for the standard curing 28-day compressive strength of cement-based materials including grout, normal concrete, ceramsite concrete, and foamed concrete is proposed. The standard curing 28-day compressive strength of different grouts, normal concrete, ceramsite concrete, and foamed concrete was tested.

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Prediction of Compressive Strength of Concrete: Machine Learning

Aug 02, 2018  High-performance concrete, with its complex additional ingredients, makes the prediction more difficult. The goal of the paper is to find the most accurate model for prediction of the compressive strength of a given concrete mix using machine learning (ML). First, the various ML models are explained along with their working principles.

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Multiple linear regression, artificial neural network, and fuzzy logic

Mar 01, 2017  Evaluating the in situ concrete compressive strength by means of cores cut from hardened concrete is acknowledged as the most ordinary method, however, it is very difficult to predict the compressive strength of concrete since it is affected by many factors such as different mix designs, methods of mixing, curing conditions, compaction, etc. In this paper, considering the experimental

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Predicting 28 Days Compressive Strength of Concrete from 7 Days

Jul 23, 2015  Concrete has versatile use in the construction practice. The compressive strength is one of the most important and useful properties of concrete. The design strength of the concrete normally represents its 28th day strength. 28 days is a considerable time to wait for the test results of concrete strength, while it is mandatory to represent the ...

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Prediction of concrete compressive strength due to long term

Sep 01, 2014  According to Fig. 10, the procedures for determining the concrete compressive strength loss% for concrete with 9.0% C 3 A and 0.5w/c after 130 years are carried out according to the following steps: 1. Age 130 years. 2. Using the relation between expansion strain and age at 0.5 w/c ratio, expansion strain can be estimated as 700 × 10 −4. 3.

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Multiple Regression Model for Compressive Strength Prediction of

A mathematical model for the prediction of compressive strength of high performance concrete was performed using statistical analysis for the concrete data obtained from experimental work done in this study. The multiple non-linear regression model yielded excellent correlation coefficient for the prediction of compressive strength at different ages (3, 7, 14, 28 and 91 days).

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Prediction of Compressive Strength of Concrete by Data-Driven

Abstract. The aim of this study is prediction of 28-day compressive strength of concrete by data-driven models. Hence, by considering concrete constituents as input variables, two data-driven models namely Multiple Linear Regression (MLR) and Artificial Neural Network (ANN) models are constructed for the purpose of predicting the 28-days compressive strength of different concrete mix designs.

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Prediction of compressive strength of concrete from early

simple mathematical model based on concrete’s nature of strength gain to predict the compressive strength of concrete at 28th day from early age results. The model is a simple equation known as a rational polynomial. The proposed model has a good potential to predict concrete strength at different age with high accuracy.

More

Prediction of 28-day Compressive Strength of Concrete

Prediction of 28-day Compressive Strength of Concrete from Early Strength and Accelerated Curing Parameters T.R. Neelakantan#1, S. Ramasundaram#2, R. Shanmugavel#3, R. Vinoth#4, #1Associate Dean (Research) and LT ECC Chair Professor [email protected]

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(PDF) Predicting 28 Days Compressive Strength of Concrete from

The authors wish to thank the technicians of the Concrete [8] Alilou V.K., Teshnehlab M., “Prediction of 28-day compressive laboratories of Bangladesh University of Engineering strength of concrete on the third day using neural networks”, Technology (BUET) and Dhaka University of Engineering International Journal of Engineering, Vol. 3(6 ...

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Multiple linear regression, artificial neural network, and fuzzy logic prediction of 28 days compressive strength

Mar 01, 2017  Evaluating the in situ concrete compressive strength by means of cores cut from hardened concrete is acknowledged as the most ordinary method, however, it is very difficult to predict the compressive strength of concrete since it is affected by many factors such as different mix designs, methods of mixing, curing conditions, compaction, etc. In this paper, considering the experimental

More

Prediction of Compressive Strength of Concrete: Machine Learning Approaches

High-performance concrete, with its complex additional ingredients, makes the prediction more difficult. The goal of the paper is to find the most accurate model for prediction of the compressive strength of a given concrete mix using machine learning (ML). First, the various ML models are explained along with their working principles.

More

ACCELERATED TESTING FOR PREDICTION OF 28-DAY

28-day concrete strengths. •CONVENTIONAL practice for specification of concrete consists of denoting the 28-day compressive strength of 15 by 30-cm cylinders or 15-cm cubes cast, moist cured, and tested under controlled conditions. However this duration is too long in the con­

More

Predicting 28 Days Compressive Strength of Concrete from 7

Jul 23, 2015  Concrete has versatile use in the construction practice. The compressive strength is one of the most important and useful properties of concrete. The design strength of the concrete normally represents its 28th day strength. 28 days is a considerable time to wait for the test results of concrete strength, while it is mandatory to represent the ...

More

Multiple Regression Model for Compressive Strength Prediction of High Performance Concrete

A mathematical model for the prediction of compressive strength of high performance concrete was performed using statistical analysis for the concrete data obtained from experimental work done in this study. The multiple non-linear regression model yielded excellent correlation coefficient for the prediction of compressive strength at different ages (3, 7, 14, 28 and 91 days).

More

GitHub - MeghnathReddy/Concrete-Compressive-Strength-Prediction

Different modeling techniques like multiple linear regression, decision tree, and random forest, etc. will be used for predicting the concrete compressive strength. A comparative analysis will be performed to identify the best model for our prediction in terms of accuracy. The best model will be helpful for civil engineers in choosing the appropriate concrete for bridges, houses construction.

More

Models for Prediction of 28 Day Concrete Compressive Strength

Concrete specimens are cast and tested at 28 days to ensure compliance of concrete strength with the design requirements. Prediction of concrete strength can help in reducing waiting time and can result in speeding up construction activities. This paper presents prediction models for concrete compressive strength up to 28 days.

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Prediction of Concrete Properties Using Multiple Linear

28 days compressive strength prediction of concrete using soft tools like ANN, Fuzzy Logic (FL) and Adaptive Neuro-Fuzzy Inference System (ANFIS) was also reported [6-9]. The three different data-driven models, i.e., ANN, ANFIS, and MLR were used to predict 28 days compressive strength of recycled aggregate concrete (RAC).

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Prediction of 28-day Compressive Strength of Concrete from Early Strength and Accelerated Curing Parameters ...

Predicting 28-day compressive strength of concrete is an important research task for many years. In this study, concrete specimens were cured in two phases, initially at room temperature for a maximum of 30 h and later at a higher temperature for accelerated curing for a maximum of 3 h. Using the early strength obtained after the two-phase curing and the curing parameters, regression equations ...

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PREDICTION OF CONCRETE COMPRESSIVE STRENGTH

The actual z-scores show there are only 2 compressive strength results lower than the characteristic strength for this particular data set. 2 Figure 2. Q-Q plot of 20N 28 day strength. Figure 3 shows the typically seen Abrams plot of the concrete 28 day compressive strength vs water/cement ratio and 7/28 day ratio for the data under study.

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Prediction of 28-day Compressive Strength of Concrete from Early Strength and Accelerated Curing Parameters ...

Predicting 28-day compressive strength of concrete is an important research task for many years. In this study, concrete specimens were cured in two phases, initially at room temperature for a maximum of 30 h and later at a higher temperature for accelerated curing for a maximum of 3 h. Using the early strength obtained after the two-phase curing and the curing parameters, regression equations ...

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Prediction of Compressive Strength of Self- Compacting Concrete with Fuzzy Logic

[20] F. Demir, "Prediction of compressive strength of concrete using ANN and Fuzzy logic", Cement and Concrete Research, 2005, vol. 35, pp. 1531-1538. [21] Z. S_en, "Combining Back propagations and Genetic Algorithms to train to train neural networks for Ambient Temperature Modelling", Solar Energy, 1998 vol. 63 (1), pp. 39-49.

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Statistical Modelling and Prediction of Compressive

Statistical Modelling and Prediction of Compressive Strength of Concrete 454 2.2. Mechanical model The proposed mechanical model in Equation (2) can predict the compressive strength of concrete at various ages. This rheological model is illustrated by Kelvin-Voigt [15] as a combination of spring and dashpot in parallel. The matrix mixture

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ACCELERATED TESTING FOR PREDICTION OF 28-DAY

28-day concrete strengths. •CONVENTIONAL practice for specification of concrete consists of denoting the 28-day compressive strength of 15 by 30-cm cylinders or 15-cm cubes cast, moist cured, and tested under controlled conditions. However this duration is too long in the con­

More

Prediction of compressive strength of concrete by machine

Prediction of compressive strength of concrete by machine learning Akshay. Compressive strength is the resistance of a material to break under compression. The compression test is usually performed in a universal testing machine. This varies from tabletop to large machines.

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Multiple Regression Model for Compressive Strength Prediction of High Performance Concrete

A mathematical model for the prediction of compressive strength of high performance concrete was performed using statistical analysis for the concrete data obtained from experimental work done in this study. The multiple non-linear regression model yielded excellent correlation coefficient for the prediction of compressive strength at different ages (3, 7, 14, 28 and 91 days).

More

Prediction of Concrete Properties Using Multiple Linear

28 days compressive strength prediction of concrete using soft tools like ANN, Fuzzy Logic (FL) and Adaptive Neuro-Fuzzy Inference System (ANFIS) was also reported [6-9]. The three different data-driven models, i.e., ANN, ANFIS, and MLR were used to predict 28 days compressive strength of recycled aggregate concrete (RAC).

More

28-Days Strength of Concrete in 15 Minutes - Civil Engineering

From Fig. 1 the 28-days strength of this mix of free W/C 0.55 and 7-days cement strength of 27.5 N/mm 2 (curve B) was predicted 21.0 N/mm 2 This prediction was done within 15 minutes after the concrete was discharged from the mixer.

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GitHub - MeghnathReddy/Concrete-Compressive-Strength-Prediction

Different modeling techniques like multiple linear regression, decision tree, and random forest, etc. will be used for predicting the concrete compressive strength. A comparative analysis will be performed to identify the best model for our prediction in terms of accuracy. The best model will be helpful for civil engineers in choosing the appropriate concrete for bridges, houses construction.

More

GitHub - pranaymodukuru/Concrete-compressive-strength: Concrete Compressive Strength Prediction

Apr 07, 2020  Concrete Compressive Strength Prediction using Machine Learning. Concrete is one of the most important materials in Civil Engineering. Knowing the compressive strength of concrete is very important when constructing a building or a bridge. The Compressive Strength of Concrete is a highly nonlinear function of ingredients used in making it and ...

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PREDICTION OF CONCRETE COMPRESSIVE STRENGTH

The actual z-scores show there are only 2 compressive strength results lower than the characteristic strength for this particular data set. 2 Figure 2. Q-Q plot of 20N 28 day strength. Figure 3 shows the typically seen Abrams plot of the concrete 28 day compressive strength vs water/cement ratio and 7/28 day ratio for the data under study.

More

On the Use of Machine Learning Models for Prediction of

compressive strength prediction 1. Introduction Concrete is the most widely used construction material in the world. Among its prop-erties, compressive strength is significant to evaluate its general construction properties for two reasons: first, it is the specification metric most commonly used in engineering practice

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Prediction of Compressive Strength of Concrete Using Double

Jan 01, 2021  The DSTM test indicated that some factors (core-drilling direction, specimen diameter, core length, aggregate type, and concrete moisture) do not influence concrete strength, and a strong relationship between DSTM strength and cube compressive strength ranging from 20 to 40 MPa is proposed for testing concrete samples.

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Prediction of 28-day Compressive Strength of Concrete on the Third Day

In recent decades, artificial neural networks are known as intelligent methods for modeling of behavior of physical phenomena. In this paper, implementation of an artificial neural network has been developed for prediction of compressive strength of concrete. A MISO (Multi Input Single Output) adaptive system has been introduced which can model the proposed phenomenon.

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