• Proceedings of the Korea Concrete Institute Conference
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• 2010.05a
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• pp.421-422
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• 2010

The decision of the form removal time which leads the early assuring strength of the concrete from apartment construction is the fact which is important from reducing the period of works and the economical efficiency side. This study investigates practical application of early strength concrete for reduction of working preiod in apartment construction.

• Proceedings of the IEEK Conference
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• 2001.06a
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• pp.365-368
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• 2001

현재 운용중인 NTSC송신시스템을 근거로 가까운 장래에 설치되어 운용될 8-VSD DTV전송시스템의 재원을 설계한다. 먼저 아나로그 NTSC와 디지털 8-VSH DTV의 지상파 방송의 경우 최적의 수신전계를 유지할 수 있는 조건을 검토하고, Longley-Rice의 전계강도 산출법을 이용해서 수신을 위한 최소한의 전계강도의 임계값을 산출한다 8-VSH DTV전송은 NTSC 6MHz대역에서 HDTV가 가능하도록 19.39Mbps의 데이타를 고속으로 전송하는데 그 목표fmf 두고 있으므로 무엇보다 송 · 수신점 사이의 전계강도의 최적화는 중요한 문제이므로 8-VSB DTV전송은 NTSC 서비스 커버리지에 비하여 확장되거나 효율적이어야만 한다. 본 연구에서는 산출결과 NTSC가 8-VSH DTV와 동일한 서비스 커버리지를 유지하기 위하여 NTSC VHF에서 DTV UHF로 전환시 필요한 송신출력과 NTSC UHF에서 DTV UHF로의 전환시 필요한 송신출력을 산출한다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.05a
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• pp.77-80
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• 2003

신경망의 퍼셉트론 학습법에는 이진 또는 연속 활성화 함수가 사용된다. 초기 연결강도는 임의의 값으로 설정하며, 목표치와 실제 출력과의 차이를 이용하는 것이 주된 특징이다. 즉 구해진 오차는 학습률에 따라서 다음 단계의 연결강도에 영향을 주게 된다. 이런 경우 학습률이 너무 크면 수렴성을 보장할 수 없으며, 반대로 너무 작게 선정하면 학습이 매우 느리게 진행되는 단점이 발생한다. 이런 이유로 능동적인 학습률의 변화는 신경망의 퍼셉트론 학습법에 중요한 관건이 리며, 주어진 문제를 최적으로 학습을 위해서는 결국 상황에 따른 적절한 학습률 조정이 필요하다. 본 논문에서는 학습률 조정에 퍼지 모델을 적용하는 신경망 학습 방법을 제안하고자 한다. 제안한 방법에 의한 학습은 오차의 변화에 따라 학습률을 조정하는 방식을 사용하였고, 그 결과 연결강도를 능동적으로 변화시켜 효과적인 학습 결과를 얻었다. 학습률 변화는 'Sugeno 퍼지 모델'을 이용하여 구현하였다.

• Proceedings of the Korean Institute of Surface Engineering Conference
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• 2014.11a
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• pp.239-240
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• 2014

$In_2O_3$에 Sn이 도핑된 Indium Tin Oxdie (ITO)는 높은 전기전도성 및 광투과율을 가지므로 터치센서, 태양전지, 스마트 윈도우, 플렉시블 디스플레이등의 수많은 광전자 소자에 필수적이다. 특히 스마트산업이 발전함에 따라 Touch Screen Panel (TSP) 에 적용되는 터치용 고품질 초박막 ITO의 수요가 증가하고 있다. 그러나 초박막 ITO 필름은 얇은 두께로 인해 낮은 결정성을 가지기 때문에 높은 전기전도성을 확보하기 힘들다. 따라서 본 연구에서는 결정성을 향상시키기 위하여 초기 박막 성장 메커니즘에 영향을 주는 인자를 제어하는데 목표를 두었으며 이러한 박막 초기의 성장에 영향을 미치는 인자들 중 자장강도를 변화시킴으로써 플라즈마 임피던스를 조절하였다. 그 결과 전기적 특성 및 광학적 특성은 자장강도에 매우 의존함을 확인할 수 있었다.

• Magazine of the Korea Concrete Institute
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• v.9 no.6
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• pp.195-206
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• 1997

산업폐기물인 폐주물사를 재활용하여 에너지절감과 환경오염방지효과를 얻을 수 있다. 반요인실험법을 사용하여 폐주물사를 잔골재에 일정비율 치환한 콘크리트의 적정배합설계제시를 위한 예비실험에서 물-시멘트비, 폐주물사의 잔골재치환율, 잔골재율, 슬럼프와 같은 주요변수와 변수사이의 2차상호작용을 파악하였다. 예비실험결과 폐주물사의 잔골재치환율 70%까지 실시하였을 때 폐주물사를 혼입한 콘크리트의 강도 발현에 가장 중요한 변수는 물-시멘트비로 분석되었고 폐주물사의 잔골재치환율은 거의 영향이 없는 것으로 분석되어 폐주물사를 콘크리트의 잔골재로 대체할 수 있음을 알 수 있었다. 각 변수의 2차상호작용에서는 폐주물사의 잔골재치환율과 잔골재율의 상관관계가 콘크리트의 강도발현에 가장 큰 영향을 미치는 것으로 나타났다. 목표압축강도에 대한 적정배합조건을 폐주물사의 잔골재 치환율에 따라 물-시멘트비, 잔골재율에 대해 제시하였다.

• Magazine of the Korea Concrete Institute
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• v.7 no.2
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• pp.155-164
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• 1995

This study was performed to get high strength of the precase concrete adopting a steam curing by using a gypsum-admixture for the high strength concrete. The superplasticizer was used to compensate low slump of base concrete keeping its slump up about $6{\pm}1cm$. To examine the property for strength revelation of concrete using admixtures for a high strength concrete, steam and standard curing were compared each other. Test results were shown that admixtures for high strength concrete were more effective in steam curing than standard curing. On the condition that the unit cement content is about $530{\sim}600kg/m^3$, the compressive strength of concrete replacing by 10% of the admixture was obtained over $65Okgf/cm^2$, which was increased as 1.3 times as that for the nonreplacement. When the admixture was replaced to 15-30%, the compressive strengh was obtained over $700kgf/cm^2$ which was increased as 1.4 - 1.5 times. Therefore, the admixture for high strength concrete, being effective in steam curing, was more efficient to get a high strength concrete using only steam curing instead of an autoclave curing for the secondary products of cement.

• Proceedings of the Korea Concrete Institute Conference
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• 2008.04a
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• pp.869-872
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• 2008

Recently, the effects of high temperature on compressive strength, elastic modulus and strain at peak stress of high strength concrete were experimentally investigated. The present study is aimed to study the effect of elevated temperatures ranging from 20 to $700^{\circ}C$ on the material mechanical properties of high-strength concrete of 40, 60, 80MPa grade. In this study, the types of test were the stressed test and stressed residual test that the specimens are subjected to a 25% of ultimate compressive strength at room temperature and sustained during heating and when target temperature is reached, the specimens are loaded to failure. Or specimens are loaded to failure after 24hour cooling time. tests were conducted at various temperatures ($20{\sim}700^{\circ}C$) for concretes made with W/B ratios 46%, 32% and 25%. Test results showed that the relative values of compressive strength and elastic modulus decreased with increasing compressive strength grade of specimen.

• Journal of the Korea Concrete Institute
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• v.14 no.4
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• pp.457-466
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• 2002

An artificial neural network was applied to predict compressive strength, slump value and mix proportion of a concrete. Standard mixed tables were trained and estimated, and the results were compared with those of the experiments. To consider variabilities of material properties, the standard mixed fables from two companies of Ready Mixed Concrete were used. And they were trained with the neural network. In this paper, standard back propagation network was used. The mix proportion factors such as water cement ratio, sand aggregate ratio, unit water, unit cement, unit weight of sand, unit weight of crushed sand, unit coarse aggregate and air entraining admixture were used. For the arrangement on the approval of prediction of mix proportion factor, the standard compressive strength of $180kgf/cm^2{\sim}300kgf/cm^2$, and target slump value of 8 cm, 15 cm were used. For the arrangement on the approval of prediction of compressive strength and slump value, the standard compressive strength of $210kgf/cm^2{\sim}240kgf/cm^2$, and target slump value of 12 cm and 15 cm wore used because these ranges are most frequently used. In results, in the prediction of mix proportion factor, for all of the water cement ratio, sand aggregate ratio, unit water, unit cement, unit weight of sand, unit weight of crushed sand, unit coarse aggregate, air entraining admixture, the predicted values and the values of standard mixed tables were almost the same within the target error of 0.10 and 0.05, regardless of two companies. And in the prediction of compressive strength and slump value, the predicted values were converged well to the values of standard mixed fables within the target error of 0.10, 0.05, 0.001. Finally artificial neural network is successfully applied to the prediction of concrete mixture and compressive strength.

• Journal of the Korea Institute of Building Construction
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• v.18 no.4
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• pp.329-335
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• 2018

The objective of this study is to develop a mortar mixture with high workability and adhesive strength for section jacketing in seismic strengthening technology of existing concrete structures. To achieve targeted requirements of the mortars (initial flow exceeding 200 mm, compressive strength of 30MPa, and adhesive strength exceeding 1MPa), step-by-step tests were conducted under the variation of the following mixture parameters: water-to-binder ratio, sand-to-binder ratio, polymer-to-binder ratio, dosage of viscosity agent, and content of ultra-rapid-hardening cement. The adhesive strength of the mortars was also estimated with respect to the various surface treatment states of existing concrete. Based on the test results, the mortar mixture with the polymer-to-binder ratio of 10% and the content of ultra-rapid-hardening cement of 5% can be recommended for the section jacketing materials. The recommended mortar mixture satisfied the targeted requirements as follows: initial flow of 220 mm, high-early strength gain, 28-day compressive strength of 35MPa, and adhesive strength exceeding 1.2MPa.

• Journal of Korean Society of Steel Construction
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• v.24 no.4
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• pp.479-490
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• 2012

Flexural tests on full-scale H-shaped beams, built up from high-strength steels (HSB800 and HSA800) with a nominal tensile strength of 800 MPa, was carried out to study the effect of flange slenderness of high-strength steel on flexural strength and rotation capacity. The primary objective was to investigate the appropriateness of extrapolating current stability criteria (originally developed for ordinary steel) to high-strength steel. The performance of high-strength steel specimens was very satisfactory from the strength, but not from the rotation capacity, perspective. The inferior rotation capacity of high-strength steel beams was shown to be directly attributable to the absence of a distinct yield plateau and the high yield ratio of the material. Residual stress measurements reconfirmed that the magnitude of the residual stress is almost independent of the yield stress of the base metal.