• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2003년도 봄 학술발표회 논문집
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• pp.391-396
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• 2003

The concrete corbels consist of various failure mechanisms such as the yielding of the tension reinforcement, the crushing or splitting from compression concrete struts, and localized bearing or shearing failure under the loading plate. However, predicting those failure mechanisms is very difficult. In this study, the ACI 318-02, the softened strut-tie model approach, and the nonlinear strut-tie model approach are applied to ultimate strength analysis of normal strength concrete corbels tested to failure. From the result of the analysis, an effective analysis and design method of normal strength concrete corbels is suggested.

• 한국전산구조공학회논문집
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• 제24권2호
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• pp.133-140
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• 2011

대형 구조물에 주로 사용되는 고강도 콘크리트는 화재 시 폭렬이 발생하여 구조물의 심각한 손상을 초래한다. 최근 고강도 콘크리트의 폭렬현상을 감소시켜 구조물의 내화성능을 확보하기 위한 다양한 연구가 진행되고 있으며, 본 논문에서는 섬유를 혼입한 고강도 콘크리트에 대한 내화해석 모델을 제시하였다. 섬유의 거동 및 고온에서의 콘크리트 내부의 물리적인 현상을 고려하여 수정한 고강도 콘크리트의 재료모델을 섬유혼입 고강도 콘크리트의 재료모델로 선택하였다. 수정된 재료모델을 이용하여 얻은 섬유혼입 고강도 콘크리트의 내화해석 결과를 실험결과와 비교하였고, 섬유혼입 고강도 콘크리트 재료모델을 제안하였다.

• Computers and Concrete
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• 제14권3호
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• pp.327-345
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• 2014

This paper presents the application of multi-gene genetic programming (MGP) technique for modeling the bond strength of ribbed steel bars in concrete. In this regard, the experimental data of 264 splice beam tests from different technical papers were used for training, validating and testing the model. Seven basic parameters affecting on the bond strength of steel bars were selected as input parameters. These parameters are diameter, relative rib area and yield strength of steel bar, minimum concrete cover to bar diameter ratio, splice length to bar diameter ratio, concrete compressive strength and transverse reinforcement index. The results show that the proposed MGP model can be alternative approach for predicting the bond strength of ribbed steel bars in concrete. Moreover, the performance of the developed model was compared with the building codes' empirical equations for a complete comparison. The study concludes that the proposed MGP model predicts the bond strength of ribbed steel bars better than the existing building codes' equations. Using the proposed MGP model and building codes' equations, a parametric study was also conducted to investigate the trend of the input variables on the bond strength of ribbed steel bars in concrete.

• Computers and Concrete
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• 제30권6호
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• pp.377-391
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• 2022

The use of carbon fiber-reinforced polymers (CFRP) has widely increased due to its enhancement in the ultimate strength and ductility of the reinforced concrete (RC) structures. This study presents a prediction model for the axial compressive strength and strain of normal-strength concrete cylinders confined with CFRP. Besides, soft computing approaches have been extensively used to model in many areas of civil engineering applications. Therefore, the genetic expression programming (GEP) models to predict axial compressive strength and strain of CFRP-confined concrete specimens were used in this study. For this purpose, the parameters of 283 CFRP-confined concrete specimens collected from 38 experimental studies in the literature were taken into account as input variables to predict GEP based models. Then, the results of GEP models were statistically compared with those of models proposed by various researchers. The values of R² for strength and strain of CFRP-confined concrete were obtained as 0.897 and 0.713, respectively. The results of the comparison reveal that the proposed GEP-based models for CFRP-confined concrete have the best efficiency among the existing models and provide the best performance.

• Computers and Concrete
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• 제14권3호
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• pp.247-262
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• 2014

Partial replacement of Portland cement by slag can reduce the energy consumption and $CO_2$ emission therefore is beneficial to circular economy and sustainable development. Compressive strength is the most important engineering property of concrete. This paper presents a numerical procedure to predict the development of compressive strength of slag blended concrete. This numerical procedure starts with a kinetic hydration model for cement-slag blends by considering the production of calcium hydroxide in cement hydration and its consumption in slag reactions. Reaction degrees of cement slag are obtained as accompanied results from the hydration model. Gel-space ratio of hardening slag blended concrete is determined using reaction degrees of cement and slag, mixing proportions of concrete, and volume stoichiometries of cement hydration and slag reaction. Furthermore, the development of compressive strength is evaluated through Powers' gel-space ratio theory considering the contributions of cement hydration and slag reaction. The proposed model is verified through experimental data on concrete with different water-to-binder ratios and slag substitution ratios.

• 한국산학기술학회논문지
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• 제21권9호
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• pp.414-423
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• 2020

최근 콘크리트 구조물을 보강하는데 경량이며 높은 강도를 가지고 있는 FRP(Fiber Reinforced Polymer)시트의 사용이 증가하고 있는데 구조물 보강 설계 시 부착 강도가 매우 중요하다. 그래서 FRP시트와 콘크리트 사이의 부착 강도에 대한 정확한 수치 모델을 얻기 위하여 많은 연구자가 다양한 변수(콘크리트 압축강도 및 인장강도, 콘크리트와 FRP의 탄성계수, 콘크리트와 FRP의 폭과 두께, 파괴에너지, 부착 길이, 유효부착길이, 최대 부착 응력과 최대 슬립)를 가지고 실험과 해석 연구를 수행하여 왔다. 결과적으로 많은 모델이 도출되었으나 실무에 쉽게 사용될 수 있는 검증된 모델은 제시되지 않았다. 그래서 본 연구는 현재까지 제안된 23개의 모델(Khalifa 모델, Iso 모델, Maeda 모델, Chen 모델 등)로부터 부착 강도에 미치는 요인을 분석하고 188개의 시험체에 대한 부착 강도 실험값을 각 모델들의 수치 결과 값과 비교하여 수식이 간단하고 높은 정도를 가진 사용하기 쉬운 모델을 제시하고자 하였다. 결과적으로 부착 강도 모델로 Iso 모델과 Holzenkӓmpfer 모델의 유효부착길이에 근거한 실용성 있는 모델을 제안하였다.

• 한국농공학회논문집
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• 제59권6호
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• pp.19-27
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• 2017

This study investigated to predict the compressive strength of unsaturated polyester resin based polymer concrete using the maturity method. The test results show that the development of the compressive strength increased exponentially until an age of 24 hours. After 24 hours, the development of the compressive strength just increased gradually. This test result shows that the strength of unsaturated polyester resin based polymer concrete was developed mainly at the early age. Estimated datum temperature of unsaturated polyester resin based polymer concrete was $-20.67^{\circ}C$ which was much lower than of datum temperature ($-10^{\circ}C$) of Portland cement concrete. Also, this study result shows that the existing maturity index associated with Portland cement concrete was not applicable for polymer concrete because curing time of Portland cement concrete is different clearly with curing time of polymer concrete. The cause of different curing time was that there were different curing mechanisms between Portland cement concrete and polymer concrete. In order to best apply the experimental data to a model, CurveExpert Professional, the commercial software, was used to determine the predictive model regarding the compressive strength of unsaturated polyester resin based polymer concrete. As a result, Gompertz Relation or Weibull Model was an appropriate model as a predictive model. The proposed model can be used to predict the compressive strength, especially, it is more useful when the maturity is in the range between $40^{\circ}C{\cdot}h^{0.4}$ and $900^{\circ}C{\cdot}h^{0.4}$.

• Structural Engineering and Mechanics
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• 제61권5호
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• pp.605-615
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• 2017

Shear failure of reinforced concrete (RC) beams is a major concern for structural engineers. It has been shown through various studies that the shear strength and ductility of RC beams can be improved by adding steel fibers to the concrete. An accurate model predicting the shear strength of steel fiber reinforced concrete (SFRC) beams will help SFRC to become widely used. An artificial neural network (ANN) model consisting of an input layer, a hidden layer of six neurons and an output layer was developed to predict the shear strength of SFRC slender beams without stirrups, where the input parameters are concrete compressive strength, tensile reinforcement ratio, shear span-to-depth ratio, effective depth, volume fraction of fibers, aspect ratio of fibers and fiber bond factor, and the output is an estimate of shear strength. It is shown that the model is superior to fourteen equations proposed by various researchers in predicting the shear strength of SFRC beams considered in this study and it is verified through a parametric study that the model has a good generalization capability.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2008년도 춘계 학술발표회 제20권1호
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• pp.261-264
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• 2008

횡방향으로 구속된 콘크리트의 응력-변형률 거동은 구속되지 않은 콘크리트와는 다른 거동을 한다. 보통강도 콘크리트에서 구속효과를 고려한 콘크리트 재료모델로는 Mander 모델이 대표적이며 고강도 콘크리트의 구속효과의 경우 여러 연구자들에 의하여 제안된 모델 중 공시체 수준의 실험결과와 잘 일치하는 Sakino-Sun 모델을 사용하였다. 보통강도에서는 Mander모델을 고강도 콘크리트에서는 Sakino-Sun 모델을 사용하였으나 중간 강도인 30-40MPa의 강도에서 Mander 모델과 Sakino-Sun 모델의 적용시 실험결과와 해석결과가 다소 차이를 보이며 또한 두 모델은 적용할 수 있는 최대 또는 최소 콘크리트 압축강도의 한계범위가 명확하지 않다. 따라서 이 연구에서는 30-40MPa의 강도의 횡방향으로 구속된 콘크리트의 비선형 재료모델을 제안하였다.

• 콘크리트학회논문집
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• 제11권6호
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• pp.35-46
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• 1999

The steel fiber reinforced concrete may affect substantially to the tension stiffening at post cracking behavior. Even if several tension stiffening models exist, they are for plain and normal strength concrete. Thus, the development of tension stiffening models for steel fibrous high strength RC members are necessary at this time when steel fiber reinforced and high strength concretes are common in use. This paper presents tension stiffening effects from experimental results on direct tension members with the main variables such as concrete strength, concrete cover depth, steel fiber quantity and aspect ratio. The comparison of existing models against experimental results indicated that linear reduced model closely estimated the test results at normal strength level but overestimated at high strength level. Discontinuity stress reduced model underestimated at both strength levels. These existing models were not valid enough in applying at steel fibrous high strength concrete because they couldn't consider the concrete strength nor section area. Thus, new tension stiffening models for high strength and steel fiber reinforced concrete were proposed from the analysis of experimental results, considering concrete strength, rebar diameter, concrete cover depth, and steel fiber reinforcement.