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콘크리트의 압축강도 추정을 위한 비파괴시험식에 관한 연구
권영진,오상근,김무한,Kwon, Young-Jin,Oh, Sang-Kun,Kim, Moo-Han 한국구조물진단유지관리공학회 1997 한국구조물진단유지관리공학회 논문집 Vol.1 No.1
The major object of this study is to analyze and investigate experimentally the experimenal equation for the estimate of compressive strength of concrete. The results are as follows. The relation between maturity scaled logarithm and compressive strength of concrete can be expressed in liner equation which show an good correlation. And combined method using rebound number, pulse velocity and water cement ratio also show an excellent correlation. The equation by combined method is same as the conclusions.
혼화재 종류 및 치환율에 따른 고강도콘크리트의 중성화와 건조수축에 관한 실험적 연구
권영진,Kwon, Young-Jin 한국건축시공학회 2003 한국건축시공학회지 Vol.3 No.3
Carbonation and drying shrinkage are very important properties of concrete, that can cause concrete to lower its capacity and spall. But the research on them in high strength concrete is very poor. In this study, to estimate influences of W/B, the kind of admixture, the replacement ratio of admixture, fineness of blast furnace and etc. on drying shrinkage and carbonation, we make experiment with 3 levels(28, 35, 55%) of W/B, 3 kinds(blast-furnace slag, fly-ash, silica-fume) of admixture, 3 levels of the replacement ratio, 3 levels(4000, 6000, 8000cm2/g) of fineness of blast-furnace slag and 2 kinds of curing condition. As the results, compressive strength of concrete was decreased, as W/C was increased and the replacement ratio of admixture was increased. Drying shrinkage was increased, as W/B was higher, the replacement ratio of admixture was increased and fineness of blast-furnace slag was decreased. And carbonation was increased, as W/B ratio was higher, the replacement ratio of admixture was increased.
고강도콘크리트의 내구성진단을 위한 영향인자 파악을 위한 연구
권영진,김무한,Kwon, Young-Jin,Kim, Moo-Han 한국구조물진단유지관리공학회 1997 한국구조물진단유지관리공학회 논문집 Vol.1 No.2
The effect of experimental factors on the Freeze-Thaw durability in the High Strength Concrete has been analyzed and investigated with [DESIGN of EXPERIMENT: L16). The Experimental parameters included the type of aggregate and mixer, the conditions of aggregates, and the difference of mixing temperature, procedure and placing, etc. It is aim of this study to provide the fundamental data on the effect of various factors on the frost resistance of high strength concrete for the practical use and research data accumulation of durability inspection. The results of this experiment indicate that the freeze-thaw durability of high strength concrete is markedly affected by the coarse aggregate source, mixing temperature and curing conditions.
증점제를 사용한 고유동콘크리트의 건조수축 및 중성화에 관한 연구
권영진,Kwon, Young-Jin 한국건축시공학회 2003 한국건축시공학회지 Vol.3 No.3
This study investigated about several mix factors came up to drying shrinkage and carbonation of high flowing concrete using viscosity. The results are as follows; Drying shrinkage ratio of high flowing concrete using viscosity showed higher for early age, but lower than normal concrete as long age. Also, drying shrinkage ratio and reduction ratio of mass showed higher and relative dynamic modulus of elasticty showed lower as W/C was higher generally. And in case of high flowing concrete using viscosity, carbonation wasn't confirmed without the kinds of cement and viscosity except 50C.
권영진 ( Kwon Young-jin ) 한국구조물진단유지관리공학회 2004 한국구조물진단유지관리공학회 논문집 Vol.8 No.2
적산온도은 시멘트 수화의 결과로서 시간이 경과함에 따라 콘크리트 강도가 얻어진다는 것으로 콘크리트의 강도는 시멘트의 수화반응과 관계가 있다. 시멘트의 수화반응은 온도와 경과시간에 큰 영향을 받는다. 따라서 본 연구에서는 콘크리트 강도예측에 있어서 양생시간과 온도의 함수인 적산온도와 고강도콘크리트 강도의 상관성을 검토하고자 하였다. The maturity concept is based on the fact that concrete gains strength with time as a result of the cement hydration and, thus the strength of concrete is related to the degree of hydration of the cement in concrete. The rate of hydration, as in any chemical reaction, depends primarily on the concrete temperature during hydration. Therefore, the aim of the study is to investigate of the correlation between strength of high-strength concrete and maturity that is expressed as a function of an integral of the curing period and temperature.
권영진(Kwon, Young-Jin),이계영(Lee, Jae-Young),신이철(Shin, Yi-Chul),서동구(Seo, Dong-Gu),한병찬(Han, Byung-Chan),김재환(Kim, Jae-Hwan) 한국화재소방학회 2007 한국화재소방학회 학술대회 논문집 Vol.2007 No.추계
초고층건축물이 증가함에 따라 고강도콘크리트의 사용량이 증가하는 추세이다. 고강도콘크리트는 내구성 및 사용성이 우수한 장점을 가지고 있는 반면 화재시 심각한 폭렬현상을 발생시켜 콘크리트 내역 감소 및 철근의 노출로 인해 건물이 붕괴까지 이르게 되는 원인이 된다. 따라서 고강도콘크리트의 내화특성을 고려한 해석(열응력, 질량 이동, 폭렬) 과정을 거쳐 폭렬 저감방안을 모색하여야 한다. 이러한 폭렬 저감방안을 표층부의 온도상승 온도구배 저감 방안, 수중기압 저감/수분 이동을 용이하게 하는 방안, 폭렬억제형 피복콘크리트 이용방안, 폭렬에 의한 콘크리트의 비산을 방지하는 방안 등이 있으며 각 방안들은 장단점을 내포하고 있어 상황에 따라 탄력적으로 적용하여야 하며, 향후 고강도 콘크리트의 역학적 성상을 고려하여 단점을 보완하고 추가적인 대책용 수립할 수 있도록 많은 연구가 필요 할 것으로 판단된다.
권영진(Young jin Kwon),정우진(Woo-Jin Jung) 한국지능정보시스템학회 2019 지능정보연구 Vol.25 No.2
According to the recent IDC (International Data Corporation) report, as from 2025, the total volume of data is estimated to reach ten times higher than that of 2016, corresponding to 163 zettabytes. then the main body of generating information is moving more toward corporations than consumers. So-called “the wave of Big-data” is arriving, and the following aftermath affects entire industries and firms, respectively and collectively. Therefore, effective management of vast amounts of data is more important than ever in terms of the firm. However, there have been no previous studies that measure the effects of big data investment, even though there are number of previous studies that quantitatively the effects of IT investment. Therefore, we quantitatively analyze the Big-data investment effects, which assists firm’s investment decision making. This study applied the Event Study Methodology, which is based on the efficient market hypothesis as the theoretical basis, to measure the effect of the big data investment of firms on the response of market investors. In addition, five sub-variables were set to analyze this effect in more depth: the contents are firm size classification, industry classification (finance and ICT), investment completion classification, and vendor existence classification. To measure the impact of Big data investment announcements, Data from 91 announcements from 2010 to 2017 were used as data, and the effect of investment was more empirically observed by observing changes in corporate value immediately after the disclosure. This study collected data on Big Data Investment related to Naver ‘s’ News’ category, the largest portal site in Korea. In addition, when selecting the target companies, we extracted the disclosures of listed companies in the KOSPI and KOSDAQ market. During the collection process, the search keywords were searched through the keywords ‘Big data construction’, ‘Big data introduction’, ‘Big data investment’, ‘Big data order’, and ‘Big data development’. The results of the empirically proved analysis are as follows. First, we found that the market value of 91 publicly listed firms, who announced Big-data investment, increased by 0.92%. In particular, we can see that the market value of finance firms, non-ICT firms, small-cap firms are significantly increased. This result can be interpreted as the market investors perceive positively the big data investment of the enterprise, allowing market investors to better understand the company’s big data investment. Second, statistical demonstration that the market value of financial firms and non - ICT firms increases after Big data investment announcement is proved statistically. Third, this study measured the effect of big data investment by dividing by company size and classified it into the top 30% and the bottom 30% of company size standard (market capitalization) without measuring the median value. To maximize the difference. The analysis showed that the investment effect of small sample companies was greater, and the difference between the two groups was also clear. Fourth, one of the most significant features of this study is that the Big Data Investment announcements are classified and structured according to vendor status. We have shown that the investment effect of a group with vendor involvement (with or without a vendor) is very large, indicating that market investors are very positive about the involvement of big data specialist vendors. Lastly but not least, it is also interesting that market investors are evaluating investment more positively at the time of the Big data Investment announcement, which is scheduled to be built rather than completed. Applying this to the industry, it would be effective for a company to make a disclosure when it decided to invest in big data in terms of increasing the market value. Our study has an academic implication, as prior research looked for the impact of Big-data investment has bee