• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2020년도 봄 학술논문 발표대회
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• pp.25-26
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• 2020

In this study, by applying the concrete compressive strength estimation system Concrete IoT Management System (hereinafter referred to as CIMS) to the concrete slab concrete in the domestic field, the purpose of this study is to confirm the practical use of CIMS and to verify the accuracy of estimating the initial strength of concrete. As a result, it shows a high correlation when the compressive strength and CIMS estimated strength of the specimen for structural management are converted and compared with the integrated temperature. However, in order to determine a more accurate experimental constant, it is necessary to consider the results up to 28 days.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2001년도 봄 학술발표회 논문집
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• pp.947-952
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• 2001

The prediction model is proposed to estimate the variation of compressive strength of fly ash concrete with aging. After analyzing the experimental result with the model, the regression results are presented according to fly ash replacement content and water/cement ratio. Based on the regression results, the influence of fly ash replacement content and water/cement ratio on apparent activation energy was investigated. According to the analysis, the model provides a good estimate of compressive strength development of fly ash concrete with aging. As the fly ash replacement content increases, the limiting relative compressive strength and initial apparent activation energy become greater. The concrete with water/cement ratio smaller than 0.40 shows that the limiting relative compressive strength and apparent activation energy are nearly constant according to water/cement ratio. But, the concrete with water/cement ratio greater than 0.40 has the increasing limiting relative compressive strength and apparent activation energy with increasing water/cement ratio.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2005년도 추계 학술발표회 제17권2호
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• pp.615-618
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• 2005

This study concerns the equation of high strength concrete by schmidt hammer test. There are not only few prediction strength equations of concrete by schmidt hammer test, but also many problems to apply them because of time, cost, easiness, structural damage, reliability and so on. For this study, there performed a series of schmidt hammer test with in existing 1,095days' concrete structures and proposed equations as follows ; Linear: ${\Large f}_{ck}=-45.35+2.44R(r^2=72.7\%)$ Quadratic: ${\Large f}_{ck}=-502.08+24.0R-0.25R^2(r^2=82.4\%)$ here, $f_{ck}$ : Estimated compressive strength of concrete by MPa, R : Rebound index of concrete

• Computers and Concrete
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• 제11권6호
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• pp.587-602
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• 2013

In the current study, a method for concrete compressive strength prediction (based on cement strength class), incorporated in a software package developed by the authors for the estimation of concrete service life under harmful environments, is presented and validated. Prediction of concrete compressive strength, prior to real experimentation, can be a very useful tool for a first mix screening. Given the fact that lower limitations in strength have been set in standards, to attain a minimum of service life, a strength approach is a necessity. Furthermore, considering the number of theoretical attempts on strength predictions so far, it can be seen that although they lack widespread accepted validity, certain empirical expressions are still widely used. The method elaborated in this study, it offers a simple and accurate, compressive strength estimation, in very good agreement with experimental results. A modified version of the Feret's formula is used, since it contains only one adjustable parameter, predicted by knowing the cement strength class. The approach presented in this study can be applied on any cement type, including active additions (fly ash, silica fume) and age.

• Composites Research
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• 제13권1호
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• pp.33-39
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• 2000

복합재료 적층판의 최종강도를 점증적 파손 해석방법을 사용하여 예측하였다. 플라이 강도를 확률분포로 가정했을 경우와 상수로 가정했을 경우 각각의 최종강도를 예측하였다. 복합재료의 강도에 대한 확률분포인 Weibull 분포를 이용하여 임의의 강도 값을 얻은 후 이 값을 Tsai-Hill 파손식에 대입하여 파손여부를 판정하고 파손이 일어나면 재료의 물성을 떨어뜨렸다. 이 방법에 의해서 얻어진 결과를 플라이의 강도를 상수로 가정하여 해석한 경우와의 차이에 대하여 고찰하였다. 결과적으로 두 경우 모두 실험치와 약간의 오차를 보였지만 파손의 경향성에 있어서는 확률분포를 이용한 강도해석이 실험값과 더 근사한 결과를 보였다.

• Computers and Concrete
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• 제24권2호
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• pp.151-158
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• 2019

The sustainable development principle of replacing natural resources with renewable material is an important research topic. In this study, waste LCD (liquid crystal display) glass powder was used to replace cement (0%, 10%, 20% and 30%) through a volumetric method using three water-binder ratios (0.47, 0.59, and 0.71) to make cement mortar. The compressive strength was tested at the ages of 7, 28, 56 and 91 days. The test results show that the compressive strength increases with age but decreases as the water-binder ratio increases. The compressive strength slightly decreases with an increase in the replacement of LCD glass powder at a curing age of 7 days. However, at a curing age of 91 days, the compressive strength is slightly greater than that for the control group (glass powder is 0%). When the water-binder ratios are 0.47, 0.59 and 0.71, the compressive strength of the various replacements increases by 1.38-1.61 times, 1.56-1.80 times and 1.45-2.20 times, respectively, during the aging process from day 7 to day 91. Furthermore, a prediction model of the compressive strength of a cement mortar with waste LCD glass powder was deduced in this study. According to the comparison between the prediction analysis values and test results, the MAPE (mean absolute percentage error) values of the compressive strength are between 2.79% and 5.29%, and less than 10%. Thus, the analytical model established in this study has a good forecasting accuracy. Therefore, the proposed model can be used as a reliable tool for assessing the design strength of cement mortar from early age test results.

• Geomechanics and Engineering
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• 제25권4호
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• pp.317-330
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• 2021

This paper reports the results of advanced data analysis involving artificial neural networks for the prediction of the unconfined compressive strength of granite using only two non-destructive test indexes. A data-independent site-independent unbiased database comprising 182 datasets from non-destructive tests reported in the literature was compiled and used to train and develop artificial neural networks for the prediction of the unconfined compressive strength of granite. The results show that the optimum artificial network developed in this research predicts the unconfined compressive strength of weak to very strong granites (20.3-198.15 MPa) with less than ±20% deviation from the experimental data for 70% of the specimen and significantly outperforms a number of available models available in the literature. The results also raise interesting questions with regards to the suitability of the Pearson correlation coefficient in assessing the prediction accuracy of models.

• Computers and Concrete
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• 제27권5호
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• pp.489-512
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• 2021

In this study, two powerful techniques, namely particle swarm optimization (PSO) and imperialist competitive algorithm (ICA) were selected and combined with a pre-developed ANN model aiming at improving its performance prediction of the compressive strength of concrete modified with fly ash. To achieve this study's aims, a comprehensive database with 379 data samples was collected from the available literature. The output of the database is the compressive strength (CS) of concrete samples, which are influenced by 9 parameters as model inputs, namely those related to mix composition. The modeling steps related to ICA-ANN (or neuro-imperialism) and PSO-ANN (or neuro-swarm) were conducted through the use of several parametric studies to design the most influential parameters on these hybrid models. A comparison of the CS values predicted by hybrid intelligence techniques with the experimental CS values confirmed that the neuro-swarm model could provide a higher degree of accuracy than another proposed hybrid model (i.e., neuro-imperialism). The train and test correlation coefficient values of (0.9042 and 0.9137) and (0.8383 and 0.8777) for neuro-swarm and neuro-imperialism models, respectively revealed that although both techniques are capable enough in prediction tasks, the developed neuro-swarm model can be considered as a better alternative technique in mapping the concrete strength behavior.

• 콘크리트학회논문집
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• 제19권1호
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• pp.75-81
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• 2007

콘크리트는 전체 체적의 $70{\sim}80%$가 골재로 이루어져 있다. 따라서 골재의 품질은 콘크리트 특성에 지대한 영향을 미친다. 현재 건설 현장에서는 부순모래 콘크리트의 비파괴 강도 추정을 일반적으로 슈미트해머를 이용한 반발 경도법이나 초음파를 이용한 초음파속도법 그리고 둘을 조합한 복합법을 이용하고 있으며 기존의 천연골재를 사용한 콘크리트에 의해 얻어진 여러 가지 제안식들에 적용시켜 추정하고 있다. 따라서 본 연구의 목적은 전형적인 파괴 시험과 코어 채취 그리고 반발경도법과 초음파속도법을 이용하여 부순모래 콘크리트의 강도 추정식을 제안하고자 하였다. 실험의 변수는 양생 재령과 양생 조건 그리고 콘크리트의 설계기준강도이다. 그 결과 본 연구에서 얻은 제안식이 기존식에 비해 모든 측면에서 양호한 것으로 나타나 실제 건설 현장의 부순모래 콘크리트 구조물의 평가 기술 향상에 기여할 것으로 사려 된다.

• 한국건설순환자원학회논문집
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• 제11권2호
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• pp.105-111
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• 2023

본 연구에서는 초기 재령에서 NSH(Non-sintered Hwangto) 치환율에 따른 고강도 콘크리트의 역학적 특성을 평가하였다. NSH의 치환율은 15 % 및 30 %로 설정했다. 평가 항목은 압축강도와 UPV(Ultrasonic pulse velocity)로 설정하였으며, 최종적으로 UPV분석을 통해 압축강도 예측 방정식을 제안하였다. 압축강도와 UPV에서는 NSH 치환율이 증가할수록 낮은 강도 및 UPV를 보였다. 또한 압축강도와 UPV의 상관관계 분석 결과, 상관계수(R2)는 NC33(Normal concrete)은 0.99, NSHC(Non-sintered Hwangto Concrete)33-15는 0.97, 그리고 NSHC33-30은 0.94로 높은 상관관계를 나타냈다.