• 레미콘
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• 7호통권72호
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• pp.29-41
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• 2002

The purpose of this study is to investigarte the mix design method and the mechanical properties of High stength Lightweight Concrete (HSLC). In the experment, concrete mixing was conducted to select the optimum mix design for HSLC in laboratory. Also, concrete mixing in ready mix design. As a result, it is possible to establish the mix design of HSLC according to the using these experimental results ;the estimate equation for unit weight of HSLC. the relationship between W/C and compressive strength of HSLC and the fluidity of HSLC in the view of workability

• 한국구조물진단유지관리공학회 논문집
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• 제10권3호
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• pp.133-142
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• 2006

본 연구에서는 레미콘 제품에 Mix Design Nomogram을 적용하여 배합변수에 따른 파괴에너지 예측뿐만 아니라 파괴에너지에 따른 배합변수 예측을 가능하도록 하는데 그 목적이 있다. Mix Design Nomogram 작성을 위한 실험은 레미콘 생산회사의 실제 시방배합표를 사용하였으며, RILEM 50-FMC 위원회에서 제안한 3점 휨 실험을 실시하였다. 그 결과, 레미콘 제품에 파괴에너지가 예측 가능한 Mix Design Nomogram의 적용 가능성을 확인하였으며, 이를 이용한 프로그램 개발로 레미콘 배합설계 자동화를 위한 가능성을 확인하였다.

• 한국산학기술학회논문지
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• 제1권1호
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• pp.63-72
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• 2000

콘크리트 배합설계의 목적은 사용 조건에 따라 요구되는 성능을 만족시키는 콘크리트를 만들기 위하여 가장 경제적이며 실용적인 재료의 혼합비율을 결정하는 것이다. 이러한 목적을 달성하기 위해서는 배합설계에 대한 깊은 이해가 필요한 데 실제는 배합설계가 매우 어렵고 복잡한 일로 인식되어 있다. 따라서 본 연구에서는 배합설계이론을 고찰하고 비쥬얼 베이직으로 배합설계 프로그램을 작성함으로써 콘크리트 공학의 초보자도 이 프로그램을 이용하여 쉽게 배합설계를 할 수 있도록 하였다.

• 대한건축학회연합논문집
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• 제20권6호
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• pp.17-23
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• 2018

The purpose of this study is to suggest 100MPa class ultra high strength concrete mix design model applying neural network theory, in order to minimize an effort wasted by trials and errors method until now. Mix design model was applied to each of the 70 data using binary binder, ternary binder and quaternary binder. Then being repeatedly applied to back-propagation algorithm in neural network model, optimized connection weight was gained. The completed mix design model was proved, by analyzing and comparing to value predicted from mix design model and value measured from actual compressive strength test. According to the results of this study, more accurate value could be gained through the mix design model, if error rate decreases with the test condition and environment. Also if content of water and binder, slump flow, and air content of concrete apply to mix design model, more accurate and resonable mix design could be gained.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2021년도 봄 학술논문 발표대회
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• pp.223-224
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• 2021

Recently, the demand for high fluidity concrete has been increased due to skyscrapers. However, it has its own limits. First of all, high fluidity concrete has large variation and through trial & error it costs lots of money and time. Neural network model has repetitive learning process which can solve the problem while training the data. Therefore, the purpose of this study is to predict optimum mix design of 40MPa, 60MPa high fluidity concrete by using neural network model and verifying compressive strength by applying real data. As a result, comparing collective data and predicted compressive strength data using MATLAB, 40MPa mix design error rate was 1.2%~1.6% and 60MPa mix design error rate was 2%~3%. Overall 40MPa mix design error rate was less than 60MPa mix design error rate.

• 복합신소재구조학회 논문집
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• 제6권2호
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• pp.1-7
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• 2015

As energy consumption of building and the reduction of carbon dioxide emissions have been emphasized, phase change materials(PCM) have been introduced as building materials due to its high heat storage performance. Using shape-stabilizing technique, octadecane/xGnP shape-stabilized PCM(SSPCM) can prevent leakage and improve heat storage performance. The objectives of this study are to propose mix design method of concrete mixed with SSPCM and to evaluate mechanical behaviors of the concrete mixed with SSPCM manufactured according to the proposed mix design. Based on the previously reported material test result, the existing mix design of plain concrete(Concrete standard specification, 2009) is modified to consider reduction of strength in concrete due to the addition of SSPCM. To verify the proposed mix design, specimens are fabricated according to the proposed mix design and axial strength tests and three-point loading tests are performed. Test results show that compressive strengths of the tested specimens reach the designed strength even when two different mix ratios of SSPCM are used. From three-point loading tests, flexural stresses decrease as mix ratio of SSPCM increases.

• 한국도로학회논문집
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• 제19권3호
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• pp.1-10
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• 2017

PURPOSES : This paper focuses on strength development according to the mix design with cement type and mineral admixture from laboratory and field tests in cool weather. METHODS : Two methods evaluated the mix design of concrete pavement in cool weather. Firstly, laboratory tests including slump, air contents, setting time, strength, maturity, and freezing-thawing test were conducted. Three alternatives were selected based on the tests. Secondly, a field test was conducted and the optimum mix design in cool weather was suggested. RESULTS : It is an evident from the laboratory test that a mix with type III cement showed better performance than the one with type I cement. There was a delay in strength development of a mix with mineral admixture compared to mix design without any mineral admixture. In the field test, type III cement+flyash 20% mix design proved the best performance. CONCLUSIONS : For concrete pavement in cool weather, mix design using type III cement could overcome the strength delay due to mineral admixture. Moreover, it is possible to make sure of durability of pavement. Therefore, strength and durability problems due to cool weather would decrease.

• 한국도로학회논문집
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• 제6권4호
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• pp.13-24
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• 2004

국내의 각종 시방서 및 지침에 수록되어 있는 기존 마샬 배합설계 방법은 일본 도로공단의 규격을 도입하여 사용한 것이다. 이러한 배합설계 방법은 최근의 도로 포장의 공용성에 많은 문제점을 야기시키는 원인 중의 하나로 인식되어지고 있다 따라서 현재 외국의 배합설계 과정에서 가장 많이 이용되고 있는 용적 개념의 도입을 통해 개선된 마샬 배합설계 방법을 제시하고자 한다. 본 연구를 통해 개선된 배합설계 방법은 공극률 4%에 해당하는 아스팔트 함량을 예비 최적 아스팔트 함량으로 결정한 후 포화도, VMA(골재 간극률), 안정도, 흐름값의 마샬 물성치를 만족하면 이를 최적 아스팔트 함량으로 정하는 방법이다. 이러한 배합설계 방법은 기존 방법에서는 고려하지 않는 VMA 값을 도입하였으며, 현장에서 오차가 많이 발생되는 마샬 안정도 시험을 설계 요소가 아닌 검토 요소로 정함으로써 배합설계의 오류를 줄이는 방법이다. 실내 실험을 통한 기존 방법과 개선 방법의 비교 결과. 공극률을 제외한 최적 아스팔트 함량, 밀도, 안정도, 그리고 흐름값의 마샬 물성치에서는 비슷한 결과값을 나타내었다. 이는 개선 방법을 적용할 때 다른 마샬 물성치들은 큰 변동이 없이 일정한 공극률을 가지는 혼합물 생산이 가능하다는 것을 나타낸다. 따라서 개선된 마샬 배합설계 방법은 현장에서 일정한 공극률(4%)을 가지는 혼합물의 생산을 가능하게 하고, 이는 아스팔트 혼합물의 품질 향상에 큰 도움을 줄 것으로 생각된다.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 1998년도 봄 학술발표회논문집(II)
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• pp.719-724
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• 1998

It is proposed in this paper to develop the rational mix design system of High-strength concrete which is adjusted in the domestic circumstances. 1) Collect a lots of data in order to introduce the optimum mix design which has relation among material variables which compose High-strength concrete and run by using SAS (Statistical analysis system) which is one of multivariate statistical analysis method. 2) Select the important material variables for mix design of High-strength concrete by major component analysis and propose the standard range of each material variable along the target strengths. From the results of this study, it was proposed the range of proper material variables in domestic circumstance, which are W/C, S/A, air and admixture amounts, etc, at the target strengths for concrete kind. Also it was developed the optimum mix design program of High-strength concrete according to target strength and size of aggregate and made mix design ease in domestic construction site.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2012년도 추계 학술논문 발표대회
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• pp.253-254
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• 2012

The purpose of this study is to suggest and verify high-strength concrete mix design model applying neural network theory, in order to minimize effort and time wasted by using trial and error method utill now. There are 7 input and 2 output to predict mix design. 40 data of mix design were learned with back-propagation algorithm. Then they are repeatedly learned back-propagation in neural network theory. Also, to verify predicted model, we analyzed and compared value predicted from 60MPa mix design with value measured by actual compressive strength test.