Modeling the compressive strength of concrete to obtain a balance and equality between prediction accuracy, time and uncertainty of the prediction is a very difficult task due to the highly nonlinear nature of concrete. For structural engineering purposes, the 28- day compressive strength is the most relevant parameter.
اقرأ أكثرThrough the regression analysis between the 2-7days ultrasonic parameters (velocity v and/or attenuation A) and the 28-day compressive strength of crumb rubber concrete, it is found that the correlative coefficient is greater than 0.90 and the relative square deviation is less than 15%.
اقرأ أكثرThe paper presents the potential of fuzzy logic (FL-I) and neural network techniques (ANN-I) for predicting the compressive strength, for SCC mixtures. Six input parameters that is contents of cement, sand, coarse aggregate, fly ash, superplasticizer percentage and water-to-binder ratio and an output parameter i.e. 28- day compressive strength ...
اقرأ أكثر28-day strength of concrete does not meet the specified strength then the remedial actions will be extremely difficult and costly due to progress of construction work. In such situations, prediction of compressive strength of concrete, specially the 28-day strength is very important to detect first sign of change in the 28-day strength and to
اقرأ أكثرConcrete 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.
اقرأ أكثرThe measurement of the compressive strength of concrete in situ by means of cores cut from hardened concrete is recognised as the most common technique, but the compressive strength of concrete is very difficult to predict because several factors affect it.In this paper, in order to predict the 28 days of compressive strength of concrete with ...
اقرأ أكثرHowever, prediction of the 28-day compressive strength of concrete placed in the field on an actual construction site, termed field concrete herein, remains a challenge for the concrete industry due to variable environmental conditions and other uncertainties 1.1 Prediction challenges for field concrete …
اقرأ أكثر28 Day Compressive Strength of Concrete is defined as the strength of the concrete after 28 days of using it. ⓘ 28-day Compressive Strength given Ultimate Shear Connector Strength for Welded Studs [f c]
اقرأ أكثرThe proposed model has a good potential to predict concrete strength at different age with high accuracy. This has been finally employed to predict 28 days strength of concrete made with brick aggregates from their 7 days test results. Index Terms—concrete, compressive strength, brick aggregate concrete, strength prediction. I.
اقرأ أكثرSince Abram's formula is applicable for predicting the compressive strength of 7-days and 28-days old concrete, it was ... Compressive strength prediction of recycled concrete based on deep learning. Constr. Build. Mater., 175 (2018), pp. 562-569, 10.1016/j.conbuildmat.2018.04.169.
اقرأ أكثرMoreover, at all the NaOH concentrations, the 28-day strength values of concretes containing SF by more than 15% were near one another. The best 28-day strength among the 4, 6, and 8 M concretes was seen for those containing 10, 15, 20, and 30% NZ. It is evident that the 4 M design with 10% NZ is the optimum design.
اقرأ أكثرFigure 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. As can be seen there is a poor relationship R2 = 0.80, 0.29 respectively. Although the 28-day strength generally
اقرأ أكثرWhen, its strength have reached 99% in 28 days, still concrete continues to gain strength after that period, but that rate of gain in compressive strength is very less compared to that in 28 days. After 14 days of casting concrete, concrete gains only 9% in next 14 days. So, rate of gain of strength …
اقرأ أكثرMachine learning methods have been successfully applied to many engineering disciplines. Prediction of the concrete compressive strength ( f c ) and slump ( S ) is important in terms of the desirability of concrete and its sustainability. The goals of this study were (i) to determine the most successful normalization technique for the datasets, (ii) to select the prime regression …
اقرأ أكثرminimum 28-day strength of concrete made with significantly reduced cement factors. The purpose is to develop prediction equations appropriate for use when early tests indicate abnormally low compressive strengths. RESEARCH APPROACH Prediction of Concrete Strength Since the 1930s, much work has been done to determine whether or not concrete is of
اقرأ أكثرHowever, according to the standard test procedure, the results of a compressive strength test on cement can be known only after 7 or 28 days. To overcome this difficulty, a dimensional analysis method for predicting the 28 - day compressive strength …
اقرأ أكثرA. According to section 19.2.1.3 of ACI 318-19 the specified compressive strength shall be based on the 28-day test results unless otherwise specified in the construction documents. 3- or 7-day test results are used to monitor early strength gain, especially when high early-strength concrete is used. However, 3- and 7-day test results are not ...
اقرأ أكثرThis paper presents prediction models for concrete compressive strength up to 28 days. The data of experimentally tested concrete cylinders were employed in the development of these models. The ...
اقرأ أكثرA compressive strength prediction model based on artificial neural network (ANN) was built, which can be applied to predict the RACCompressive strength for 28 days, and results show that the ANN achieved pretty accurate prediction on the compressivestrength of RAC. Recycled aggregate concrete (RAC), due to its high porosity and the residual cement and mortar on its surface, exhibits weaker ...
اقرأ أكثرA total number of 210 samples were prepared with target-specified compressive strength at standard age of 28 days of 25, 35, and 45 MPa. Such values were obtained and used as targets for the two AI prediction …
اقرأ أكثر28 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).
اقرأ أكثرBACKGROUND concrete strength at different age with high accuracy. This has been finally employed to predict 28 days strength of Early prediction of concrete compressive strength enables concrete made with brick aggregates from their 7 days test to know quickly about the concrete and its probable weakness results.
اقرأ أكثرThe rate of gain of concrete compressive strength is higher during the first 28 days of casting and curing and then it slows down. The compressive strength gained by 3000 Psi concrete after 1, 3, 7, 14, 21 and 28 days of curing are 480 Psi (16% of total strength), 1200 Psi (40%), 1950 Psi (65%), 2700 Psi (90%), 2880 Psi (96%) and 3000 Psi (99% ...
اقرأ أكثرPREDICTION OF CONCRETE MIX COMPRESSIVE . Prediction of Concrete Mix Compressive Strength Using Statistical . . . .1917 Journal of Engineering Science and Technology July 2018, Vol. 13(7) 1. Introduction Today, there is a high demand for concrete with enhanced properties to serve specific infrastructure needs.
اقرأ أكثرIn 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.
اقرأ أكثرAn Evolutionary-Based Prediction Model of the 28-Day Compressive Strength of High-Performance Concrete Containing Cementitious Materials (Received 15 January 2019; accepted 16 April 2019) Published Online: 29 May 2019. CODEN: ACEMF9
اقرأ أكثرChen [10] developed a multiple linear regression prediction model of concrete compressive strength based on physical properties of electric arc furnace oxidizing slag. Multiple regression analysis and artificial neural networks have been used by Ramugade [11] to estimate 3, 7, 28 days compressive strength of concrete cubes.
اقرأ أكثرIn the construction process, it is always important to know the concrete compressive strength. The recommended procedure to ensure the concrete strength is to perform cylinder test. Test result of concrete cylinder at 28 day, represents the characteristic strength of the concrete that has been prepared and cast to form the concrete work. Usually two concrete cylinders (specimen) are cast for ...
اقرأ أكثرTo use this online calculator for 28-Day Concrete Compressive Strength, enter 7 day Compressive strength (S 7) and hit the calculate button. Here is how the 28-Day Concrete Compressive Strength calculation can be explained with given input values -> 1.03 = 1000000+(30*(1000000^(1/2))).
اقرأ أكثرFrom among 432 specimens, 300 data sample has been used for train, 66 data sample for validation and 66 data sample for the final test of the network. The 3-day strength parameter of concrete in the introduced structure also has been used as an important index for predicting the 28-day strength of the concrete.
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