• Magazine of the Korea Concrete Institute
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• v.9 no.6
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• pp.74-79
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• 1997

• Computers and Concrete
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• v.19 no.3
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• pp.275-282
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• 2017

The aim of this study is to build Machine Learning models to evaluate the effect of blast furnace slag (BFS) and waste tire rubber powder (WTRP) on the compressive strength of cement mortars. In order to develop these models, 12 different mixes with 288 specimens of the 2, 7, 28, and 90 days compressive strength experimental results of cement mortars containing BFS, WTRP and BFS+WTRP were used in training and testing by Random Forest, Ada Boost, SVM and Bayes classifier machine learning models, which implement standard cement tests. The machine learning models were trained with 288 data that acquired from experimental results. The models had four input parameters that cover the amount of Portland cement, BFS, WTRP and sample ages. Furthermore, it had one output parameter which is compressive strength of cement mortars. Experimental observations from compressive strength tests were compared with predictions of machine learning methods. In order to do predictive experimentation, we exploit R programming language and corresponding packages. During experimentation on the dataset, Random Forest, Ada Boost and SVM models have produced notable good outputs with higher coefficients of determination of R2, RMS and MAPE. Among the machine learning algorithms, Ada Boost presented the best R2, RMS and MAPE values, which are 0.9831, 5.2425 and 0.1105, respectively. As a result, in the model, the testing results indicated that experimental data can be estimated to a notable close extent by the model.

• Journal of the Korean Society for Railway
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• v.17 no.4
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• pp.223-227
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• 2014

The brake pad is one of the basic brake elements of a railway vehicle. It accomplishes braking action by friction between a pad and a brake disc. Because the brake pad must endure specified high pressure, the compressive strength is managed as the main performance factor. The standards for measuring the compressive strength of brake pads are KRS, KRCS, and KRT. These standards specify the size of the test piece for measuring compressive strength as $20mm{\times}10mm{\times}15mm$ ($W{\times}D{\times}H$). To reduce the uncertainty of the compressive strength, factors of uncertainty were analyzed. The results show that changing the dimensions of the cross section was useful to reduce the uncertainty. The uncertainty due to the new cross-sectional dimension shows the effectiveness of reducing uncertainty.

• Proceedings of the Korean Society For Composite Materials Conference
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• 2000.04a
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• pp.159-162
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• 2000

Interfacial and microfailure properties of carbon fiber/epoxy matrix composites were evaluated using both tensile fragmentation and compressive Broutman tests with acoustic emission (AE). Amino-silane and maleic anhydride polymeric coupling agents were used via the dipping and electrodeposition (ED), respectively. Both coupling agents exhibited higher improvements in interfacial shear strength (IFSS) under tensile tests than compressive cases. However, ED treatment showed higher IFSS improvement than dipping case under both tensile and compressive test. The typical microfailure modes including fiber break, matrix cracking, and interlayer failure were observed during tensile test, whereas the diagonal slippage in fiber ends was observed during compressive test. For both the untreated and treated cases AE distributions were separated well under tensile testing. On the other hand, AE distributions were rather closer under compressive tests because of the difference in failure energies between tensile and compressive loading. Under both loading conditions, fiber breaks occurred around just before and after yielding point. Maximum AE voltage fur the waveform of carbon or basalt fiber breakage under tensile tests exhibited much larger than those under compressive tests.

• Computers and Concrete
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• v.21 no.6
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• pp.697-703
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• 2018

Compressive strength is one of the most important engineering properties of concrete, and testing of the compressive strength of concrete specimens is often costly and time consuming. In order to provide the time for concrete form removal, re-shoring to slab, project scheduling and quality control, it is necessary to predict the concrete strength based upon the early strength data. However, concrete compressive strength is affected by many factors, such as quality of raw materials, water cement ratio, ratio of fine aggregate to coarse aggregate, age of concrete, compaction of concrete, temperature, relative humidity and curing of concrete. The concrete compressive strength is a quite nonlinear function that changes depend on the materials used in the concrete and the time. This paper presents an adaptive neuro-fuzzy inference system (ANFIS) for the prediction of concrete compressive strength. The training of fuzzy system was performed by a hybrid method of gradient descent method and least squares algorithm, and the subtractive clustering algorithm (SCA) was utilized for optimizing the number of fuzzy rules. Experimental data on concrete compressive strength in the literature were used to validate and evaluate the performance of the proposed ANFIS model. Further, predictions from three models (the back propagation neural network model, the statistics model, and the ANFIS model) were compared with the experimental data. The results show that the proposed ANFIS model is a feasible, efficient, and accurate tool for predicting the concrete compressive strength.

• Journal of the Korea institute for structural maintenance and inspection
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• v.28 no.1
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• pp.32-38
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• 2024

In the case of apartment building, it is difficult to conduct non-destructive testing due to the actual presence of people and the dust and noise generated during the core test, so inspections are performed each time in the common area and underground parking lot, and the tests are conducted on the finishing material rather than on the concrete surface due to low-cost orders. As the process progresses, poor inspection is inevitable. In addition, the proposed formulas for strength estimation have large fluctuations depending on the differences in test conditions and environments, and even if they show the same measured value, the deviation between each proposed formula is large, making it difficult to accurately estimate strength, making it difficult to use. Accordingly, we would like to select finishing materials mainly used in apartment complexes and compare and evaluate the compressive strength of concrete according to the type of finishing material by using non-destructive testing methods directly on the finishing materials without removing the finishing materials. The reliability evaluation results of the estimated compressive strength of concrete using the ultrasonic velocity method according to the type of finishing material are as follows. The error rate between the estimated compressive strength and compressive strength derived through the ultrasonic velocity method shows a wide range of variation, ranging from 21.83% to 58.89%. The effect of the presence or absence of finishing materials on the estimated compressive strength was found to be insignificant. Accordingly, it is necessary to select more types of finishing materials and study ultrasonic velocity methods according to the presence or absence of finishing materials, and to study estimation techniques that can increase reliability.

• Proceedings of the Korea Concrete Institute Conference
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• 2001.05a
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• pp.257-262
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• 2001

The objective of this study is to compare compressive strength and rebound number of Schmidt hammer of concrete using basalt aggregate to that using granite aggregate. And is to provide the reference data on the standardization of nondestructive test of concrete. According to test results, compressive strength of concrete using basalt aggregate is highly estimated under the same rebound number compared to that using granite aggregate about 5~15%. It is urgently that newly suggested estimation formula of compressive strength using basalt aggregate must be prescribed because estimation formula of compressive strength of concrete using basalt aggregates overestimates the strength compared to that using granite aggregate.

• Advances in concrete construction
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• v.9 no.6
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• pp.529-535
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• 2020

The current study investigated experimentally the effectiveness of Carbon Fiber Reinforced Polymer (CFRP) in confining concrete cylinders after being subjected to high temperature. Parameters examined were: (a) the exposing temperatures (20, 100, 200, 400 600 and 700℃) and (b) the number of CFRP layers (1 and 3 layers). A uniaxial compressive testing was carried out on 36 concrete cylinders with dimensions of 150 mm×300 mm. The results obtained show that the compressive strength reduced with the increased of temperature compared to that measured at 20℃. In particular, the reduction in the compressive strength was more observed when the temperature exceeded 400℃. Further, the concrete cylinders confined with one and three layers of CFRP significantly increased the compressive strength compared to the counterpart unconfined specimen tested at the same temperature. Also, the average percentages of the increase in the compressive strength were approximately 112% and 158% when applying 1 and 3 layers of CFRP, respectively, compared to the counterpart unstrengthened specimen tested at the same temperature.

• Journal of the korean academy of Pediatric Dentistry
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• v.35 no.3
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• pp.469-476
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• 2008

This study was performed to compare the fluoride release pattern and compressive strength of recently developed resin-modified glass ionomers($Ketac^{TM}$ N 100 and Fuji Fil LC) with those of conventional glass ionomer restorative material(Fuji II LC). Fifteen sample discs(6 mm diameter and 1 mm height) were prepared for each tested material. The fluoride release was measured by pH/ISE meter(750P, Istek, Korea) for 31 days. For compressive strength experiment, fifteen cylindrical specimens were prepared for each tested material. Each specimen was submitted to compressive strength testing in an universal testing machine(Kyung-sung Testing Machine Co., Korea) at crosshead speed of 5.0mm/min until failure. The results can be summarized as follows; 1. Fuji Fil LC released the highest amount of fluoride, followed by Fuji II LC and $Ketac^{TM}$ N 100(p<0.05). 2. The compressive strength of Fuji Fil LC was the lowest(p<0.05). However, no significant difference was found from Fuji II LC and $Ketac^{TM}$ N 100(p>0.05). By considering the above results, careful case selection and accurate clinical application is recommended when using $Ketac^{TM}$ N 100 and Fuji Fil LC.

• Journal of the korean academy of Pediatric Dentistry
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• v.43 no.3
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• pp.292-298
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• 2016

The aim of this study was to compare the compressive strength and amount of fluoride-release of recently developed giomers (Beautifil Flow Plus F00, Beautifil Flow Plus F03), conventional giomer, resin-modified glass ionomer and composite resin. Fifteen cylindrical specimens for each group were prepared to measure fluoride release. It was measured using pH/ISE meter and fluoride ion electrode every 24 hours for the first 7 days and every 72 hours until the 31st day. Also, fifteen cylindrical specimens for each group after thermocycling were prepared to measure compressive strength. The universal testing machine (Kyung-sung Testing Machine Co., Korea) was used and the crosshead speed was 1 mm/min. Recently developed giomers showed more fluoride release and higher compressive strength than conventional giomer. It would be a good alternative to composite resin.