• Computers and Concrete
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• v.32 no.4
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• pp.373-381
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• 2023

Fly ash, granulated blast furnace slag, marble waste powder, etc. are just some of the by-products of other sectors that the construction industry is looking to include into the many types of concrete they produce. This research seeks to use surrogate machine learning methods to forecast the compressive strength of self-compacting concrete. The surrogate models were developed using Gradient Boosting Machine (GBM), Support Vector Machine (SVM), Random Forest (RF), and Gaussian Process Regression (GPR) techniques. Compressive strength is used as the output variable, with nano silica content, cement content, coarse aggregate content, fine aggregate content, superplasticizer, curing duration, and water-binder ratio as input variables. Of the four models, GBM had the highest accuracy in determining the compressive strength of SCC. The concrete's compressive strength is worst predicted by GPR. Compressive strength of SCC with nano silica is found to be most affected by curing time and least by fine aggregate.

• Structural Monitoring and Maintenance
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• v.11 no.1
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• pp.41-55
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• 2024

This study aims to determine the characteristics of concrete as identified by Rebound Hammer and Ultrasonic Pulse Velocity (UPV) tests, focusing particularly on their efficacy in estimating compressive strength of concrete material. The study involved three concrete samples designed to achieve a target strength of 29 MPa, comprising normal concrete, instant concrete, and concrete with additives. These were cast into cube specimens measuring 150×150×150 mm. Compressive strength values were determined through both destructive and non-destructive testing on the cubic specimens. As a result, the non-destructive methods yielded varying outcomes for each correlation approach, influenced by the differing constituent materials in the tested concretes. However, normal concrete consistently showed the most reliable correlation, followed by concrete with additives, and lastly, instant concrete. The study found that combining Rebound Hammer and UPV tests enhances the prediction accuracy of compressive strength of concrete. This synergy was quantified through multivariate regression, considering UPV, rebound number, and actual compressive strength. The findings also suggest a more significant influence of the Rebound Hammer measurements on predicting compressive strength for BN and BA, whereas UPV and RN had a similar impact on predicting BI compressive strength.

• Journal of the Korea institute for structural maintenance and inspection
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• v.12 no.3
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• pp.199-207
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• 2008

As infrastructures are being deteriorated, nondestructive evaluation of existing structures and construction quality control are increasingly demanded. The importance of predicting compressive strength of concrete structure is also gradually increasing in construction industry. The estimation of concrete compressive strength is a critical factor of the construction management and quality control. This study has been conducted using Schmidt hammer test and Impact echo method, which are nondestructive test methods for the comparison of the concrete compressive strength. It is focusing to examine the relationship between compressive strength of concrete and rebound number by Schmidt hammer test result by Impact echo method. It was found that concrete compressive strength and rebound number have a close correlation.

• Journal of the Korean GEO-environmental Society
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• v.16 no.11
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• pp.5-11
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• 2015

The development of Controlled Low Strength Material (CLSM), which is a highly flowable material, has been performed for the application of backfill. The objective of this study is to compare the compressive strength and compressive wave velocity of CLSM according to the curing time. To investigate the characteristics of the CLSM consisting of sand, silt, water, flyash, and CSA cement, uniaxial compression test and flow test were carried out. For the measurement of compressional waves, a cell and a couple of transducers were used. The test results show that the compressive strength increases with the curing time, while the increment of compressive strength decreases with the curing time. In addition, the compressive wave velocity increases with the curing time, and the correlation between the compressive wave velocity and compressive strength is similar to exponential function. This study suggests that the correlation between the compressive wave velocity and compressive strength may be effectively used for the estimation of compressive strength of the CLSM at early curing time.

• Proceedings of the Korea Concrete Institute Conference
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• 1999.10a
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• pp.705-708
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• 1999

Advanced composite materials such as carbon fiber, aramid, and glass fiber sheet, are widely used recently to strengthening existing reinforced concrete structures. The purpose of this paper was to investigate the mechanical characteristics of concrete compressive members confined with carbon fiber sheet and evaluate the efficiency of the strengthening under load actions. Uniaxal compression tests of concrete compressive members confined with carbon fiber sheet were experimentally used to develop a relationship between the axial stresses and the lateral stresses. The resulting axial and lateral strains were used to determine the confinement effect of concrete compressive members.

• Proceedings of the Korea Concrete Institute Conference
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• 2001.11a
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• pp.459-464
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• 2001

A great level of strength and deformability on compressive zone of RC wall is essentially required when subjected to high axial and in-plane lateral loading due to earthquakes. One of the best ways to handle this situation is to provide the confinement effectiveness to the compressive zone by reinforcing steel. For this a series of design charts were constructed to evaluate the confinement effectiveness for a given steel configuration in accordance with a well-known model and part of them are presented in this paper. Using the chart, designers can choose a desirable steel arrangement in flexural compressive zone of RC walls for a prescribed confinement factor.

• International Journal of Safety
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• v.11 no.1
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• pp.19-21
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• 2012

In this thesis, fracture test was performed in order to investigate the fracture strength of SFRC(steel fiber reinforced concrete) structures. The relationship between the compressive force and strain value of SFRC specimens were observed under the compressive strength test. From the fracture test results, the relationship between percentage of fiber by volume, compressive strength, elastic modulus, and tensile strength of SFRC beams were studied, and the measured elastic modulus of SFRC were compared with the calculated elastic modulus by ACI committee 544.

• Proceedings of the Korea Concrete Institute Conference
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• 2000.04a
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• pp.57-61
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• 2000

This experimental study was carried out to estmate the effects of mixing dosage rate and blain on the compressive strength properties of antiwashout underwater concrete admixed with finely ground granulated blast furnace slag. The experimental parameters are slag contents(0, 20, 30, 40, 50, 60%). As a result the compressive strength have a high correlation with slag blended ratio. Thus, it is possible to calculate the modulus of modified age using compressive strength of antiwashout underwater concrete blended with slag.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.588-591
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• 2009

This paper proposes a reversible information hiding method for binary images. A half of pixels in noisy blocks on cover images is candidate for embeddable pixels. Among the candidate pixels, we select compressive pixels by bit patterns of its neighborhood to compress the pixels effectively. Thus, embeddable pixels in the proposed method are compressive pixels in noisy blocks. We provide experimental results using several binary images binarized by the different methods.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2016.05a
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• pp.185-186
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• 2016

Four mortar mixes tested to evaluate the early-age compressive strength of magnesia-phosphate composite with phosphate type. Monopotassium phosphate, dipotassium phosphate, ammonium dihydrogen phosphate and diammonium phosphate used as phosphate. Test results show that the compressive strength of mortar used monopotassium phosphate as phosphate was highest, while compressive strength of mortars used dipotassium phosphate and diammonium phosphate as phosphate were not developed.