잔골재율 변화에 따른 콘크리트 건조수축 모델링에 관한 연구

박도경,윤여완,김광서 한국건축시공학회 2004 한국건축시공학회지 Vol.4 No.4

Drying Shrinkage has much complexity as it has relations with both internal elements of concrete and external factors. Therefore, experiments on Concrete Drying Shrinkage are carried out in this study under simplified circumstances applying temperature & Humidity test chamber which enables constant temperature and humidity. Comparative analyses have been made respectively according to the consequences aiming at modelling for prediction of Concrete Drying Shrinkage and making out measures to reduce it.Strain Rate of Drying Shrinkage of concrete under the condition of dry air appears to rise by about 20%~30% in proportion as the temperature rises 5℃ when the humidity was held below 10% compared under the condition of dry temperature & Humidity test chamber. Strain Rate of Drying Shrinkage in pit sand concrete increased 20% higher than measured when in river sand under the condition of 90-day material age. A general formula with two variables is derived as follow : . and also graphed in 3 dimensions, enabling to apply to actual design and predict Strain Rate of Drying Shrinkage in concrete. The results of prediction of Rate of Drying Shrinkage by Response Surface Analysis are as follows. The coefficient of correlation of Drying Shrinkage in Concrete was over 90%.

레미콘 슬러지수 사용에 따른 콘크리트 건조수축에 관한 실험적 연구 ( An Experimental Study on the Concrete Drying Shrinkage Using Sludge Water )

박도경,김광서,이용수 대한건축학회 1999 大韓建築學會論文集 : 構造系 Vol.15 No.5

폐석분 함유율에 따른 최적의 콘크리트 탄성계수 추정

박도경,양극영 한국건축시공학회 2006 한국건축시공학회지 Vol.6 No.1

While a Study with regard to the measurement on Concrete Strength and the Change of Drying Shrinkage in accordace with Content Ratio of Crushed Stone Powder, it is being analyzed as the result that the strength according to Content Ratio of crushed Stone Powder is somewhat lowering. Accordingly, it is the real situation that the Concrete mixed with Crushed Stone Powder is utilized for non-structural material, not for the structural material. Therefore, this Research willing to furnish the suitable utilizing scheme for construction site as well as practical life by means of conduct the experiment on both Concrete Pressure Strength according to mixture with Crushed Stone Powder and Elastic Modulus, it also presumes the optimum Elastic Modulus Equation after analysis of comparison with common concrete strength. As the result of the experiment, in case of the Content Ratio of Crushed Stone Powder is less than 5%, it did not display a big difference in its both strength and matter-property compare with common concrete. In case of Elastic Modulus, when the Pressure Strength is 50% and 40% respectively, the Elastic Modulus Equation accords very well with the provided condition of Quadratic function, and as the result of the Presumption on Elastic Modulus according to Content of Crushed Stone Powder, in case the Pressure Strength is 50%, Elastic Modulus Equation showed that Error Ratio of Cubic function is at degree of 0.0005%, in case the Pressure Strength is 40%, Elastic Modulus Equation was accorded well with the value of the experimental data likely as the Error Ratio of Cubic function is at the degree around 0.0034%, respectively.

잔골재 종류에 따른 콘크리트 材料 力學的 特徵의 實驗的 硏究

박도경,진영길,김광서 대한건축학회지회연합회 2000 대한건축학회연합논문집 Vol.2 No.2

잔골재 특성에 따른 콘크리트 건조수축 모델링에 관한 연구

박도경,양극영 한국건축시공학회 2006 한국건축시공학회지 Vol.6 No.1

Drying Shrinkage has much complexity as it has relations with both internal elements of concrete and external factors. Therefore, experiments on Concrete Drying Shrinkage are carried out in this study under simplified circumstances applying temperature & Humidity test chamber which enables constant temperature and humidity. Comparative analyses have been made respectively according to the consequences aiming at modelling for prediction of Concrete Drying Shrinkage and making out measures to reduce it. As a result Strain Rate of Drying Shrinkage of concrete was measured to increase by average 10×10-5 in proportion to additional 4% increase in fine aggregate ratio, when water/cement ratio constant.Strain Rate of Drying Shrinkage in pit sand concrete increased 20% higher than measured when in river sand under the condition of 90-day material age. 6. Strain Rate of Drying Shrinkage in sea sand concrete increased 10%~15% higher than measured when in river sand. The results of prediction of Rate of Drying Shrinkage by Response Surface Analysis are as follows. The coefficient of correlation of Drying Shrinkage in concrete was over 90%.

순환골재를 이용한 환경 친화형 호안 블록제품의 개발에 관한 연구

박도경,양극영,이명규 한국건축시공학회 2006 한국건축시공학회지 Vol.6 No.2

The purpose of this study is to enhance the development of construction waste-recycling technologies and its economical efficiency by developing environment-friendly tetrapod, precast concrete, where recycled aggregate is used in order to promote recycling of waste concrete. The results of concrete mechanic characteristics experiments by the circulation coarse aggregate-replacement ratio are as the following. The circulation aggregate is lower and higher than natural aggregate in specific gravity and absorption ratio, respectively so that in case of mix proportioning, unit volume increases, while unit aggregate amount decreases. From the result, sufficient experiments of physical characteristics of circulation aggregate are required to get proper mix proportioning. When circulation aggregate-replacement ratio increases, compressive strength tends to decrease comprehensively, but 50% of replacement ratio is good enough to use. When circulation coarse aggregate's replacement ratio is 0%, drying shrinkage, which causes cracks in concrete and deteriorates durability, shows the minimum length change and the higher the ratio, the larger the length change. Thus, when using circulation coarse aggregate, drying shrinkage should be fairly examined. In freezing-and-thawing resistance, weight loss tends to comprehensively increase its loss at the circulation aggregate-mixed site. And the examination of surface aggregate-omission ratio is further needed and dynamic elastic modulus and durability factor(DF) require more study as well. In order to use circulation aggregate to tetrapod, a clear standard for strength should be first prepared and at the same time, more study about durability is needed.

역전파 학습 알고리즘을 이용한 콘크리트와 부착된 FRP 판의 부착강도 모델 개발

박도경 한국구조물진단유지관리공학회 2006 한국구조물진단유지관리공학회 논문집 Vol.10 No.2

FRP 판은 외부 부착된 보강 판의 효과적인 부착강도의 증진으로 실질적으로 부착강도에 대한 많은 연구가 수행되어왔다. 선행연구자들은 이러한 부착강도를 알아보기 위하여 다양한 변수를 설정하여 실험을 통하여 FRP 판의 부착강도를 규명하였다. 그러나, 이러한 부착강도를 알아보기 위한 실험은 장비구축의 비용과 시간 소비가 많이 되고 수행하기 어렵기 때문에 국한적으로 수행되고 있다. 본 연구는 선행연구자들의 부착실험 데이터를 다양한 신경망 모형과 알고리즘을 적용하여 최적의 인공신경망 모형을 개발하는데 그 목적이 있다. 인공신경망 모형의 출력층은 부착강도, 입력층은 FRP 판의 두께, 폭, 부착 길이, 탄성계수, 인장강도와 콘크리트의 압축강도, 인장강도, 폭을 변수로 선정하여 학습을 수행하였다. 개발된 인공신경망 모형은 역전파 학습 알고리즘을 적용하였으며, 오차는 0.001범위에 수렴되도록 학습을 하였다. 또한, 일반화 과정은 Bayesian 기법을 도입함으로써 보다 일반화된 방법으로 과대적합의 문제를 해소하였다. 개발된 모형의 검증은 학습에 이용되지 않은 다른 선행연구자들의 부착강도 결과 값과 비교함으로서 실시하였다. In order to catch out such Bond Strength, the preceding researchers had ever examined the Bond Strength of FRP Plate through their experimentations by setting up of various fluent. However, since the experiment for research on such Bond Strength takes much of expenditure for equipment structure and time-consuming, also difficult to carry out, it is conducting limitedly. This Study purposes to develop the most suitable Artificial Neural Network Model by application of various Neural Network Model and Algorithm to the adhering experiment data of the preceding researchers. Output Layer of Artificial Neural Network Model, and Input Layer of Bond Strength were performed the learning by selection as the variable of the thickness, width, adhered length, the modulus of elasticity, tensile strength, and the compressive strength of concrete, tensile strength, width, respectively. The developed Artificial Neural Network Model has applied Back-Propagation, and its error was learnt to be converged within the range of 0.001. Besides, the process for generalization has dissolved the problem of Over-Fitting in the way of more generalized method by introduction of Bayesian Technique. The verification on the developed Model was executed by comparison with the resulted value of Bond Strength made by the other preceding researchers which was never been utilized to the learning as yet.

육모래 치환율에 따른 콘크리트의 재료 역학적 특성에 관한 실험적 연구

박도경,진영길,김광서 대한건축학회지회연합회 2000 대한건축학회연합논문집 Vol.2 No.4

인공신경망을 이용한 FRP 보강 콘크리트 보의 휨모멘트 평가

박도경 한국구조물진단유지관리공학회 2006 한국구조물진단유지관리공학회 논문집 Vol.10 No.5

본 연구에서는 FRP Rebar로 보강된 철근콘크리트 보의 휨성능을 평가할 수 있는 모형을 개발하기 위하여 인공신경망 중 다층인식자 모형을 사용하였다. 인공신경망 모형에 사용될 학습자료들은 기존 연구자료들의 데이터를 이용하였다. 입력층의 독립변수는 휨성능에 주요 요소인 폭, 유효깊이, 압축강도, FRP 보강비, FRP 균형철근비을 사용하였다. 출력층 종속변수는 실험에서 측정된 모멘트 성능을 사용하였다. 개발된 인공신경망 모형은 GFRP, CFRP, AFRP Rebar 적용이 모두 가능하며, 모형의 검증은 다른 선행 연구자들이 수행한 자료를 이용하였다. 인공신경망 모형 추정결과 ANN(0.05) 모형의 경우에 비교적 정확한 휨성능 추정값을 나타낸 반면, ANN(0.1) 모형에서는 다소 오차가 발생하였다. 인공신경망 모형의 검증결과 주어진 실험 데이터 값과 비교적 일치하고 있음을 확인할 수 있었다. 또한, 휨성능 평가 변수에 대한 민감도 분석결과 유효깊이의 영향이 가장 크고 FRP 철근비, FRP 균형철근비, 압축강도, 폭으로 분석되었다. In this study, Multi-Layer Perceptron(MLP) among models of Artificial Neural Network(ANN) is used for the development of a model that evaluates the bending capacities of reinforced concrete beams strengthened by FRP Rebar. And the data of the existing researches are used for materials of ANN model. As the independent variables of input layer, main components of bending capacities, width, effective depth, compressive strength, reinforcing ratio of FRP, balanced steel ratio of FRP are used. And the moment performance measured in the experiment is used as the dependent variable of output layer. The developed model of ANN could be applied by GFRP, CFRP and AFRP Rebar and the model is verified by using the documents of other previous researchers. As the result of the ANN model presumption, comparatively precise presumption values are achieved to presume its bending capacities at the model of ANN(0.05), while observing remarkable errors in the model of ANN(0.1). From the verification of the ANN model, it is identified that the presumption values comparatively correspond to the given data ones of the experiment. In addition, from the Sensitivity Analysis of evaluation variables of bending performance, effective depth has the highest influence, followed by steel ratio of FRP, balanced steel ratio, compressive strength and width in order.

잔골재 품질 변화가 건조수축에 미치는 영향에 관한 연구

박도경,김광서 대한건축학회지회연합회 1999 대한건축학회연합논문집 Vol.1 No.1