• Proceedings of the Korean Institute of Building Construction Conference
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• 2022.11a
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• pp.171-172
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• 2022

This study aims to develop the hydration heat reducing material (powder type) to lower the heat of hydration of mass members in the extremely hot weather condition. In this study, we applied the developed material to the concrete that used two kinds of binders with cement and evaluate the concrete properties with it.

• Journal of the Earthquake Engineering Society of Korea
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• v.27 no.1
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• pp.49-57
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• 2023

This study investigated the rocking behavior of unreinforced masonry walls and wall piers under cyclic loading. Based on the benchmark tests, the characteristics of load-deformation relations in masonry walls with rocking failure were captured, focusing on observed deformation modes. The rocking strengths of masonry walls (i.e., peak and residual strengths) were evaluated, and the effects of opening configurations on the masonry wall strength were examined. The deformation capacity of the rocking behavior and the hysteresis shape of the load-deformation relations were also identified. Based on the results, modeling approaches for the rocking behavior of masonry walls were discussed.

• Composites Research
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• v.19 no.3
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• pp.37-42
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• 2006

In the past, the technology of strengthening structures using FRP composites was still in its infancy, with very few publications on the technology available. However, recently strengthening of Reinforced concrete (RC) and other structures using advanced fibre-reinforced polymer/plastic(FRP) composites has become very popular in the last few years. As the well-known advantages of FRP composites including both good corrosion resistence and ease for site handling due to their light weight, also its design methods have been ensured the safe and economic use of this new technology, FRPs have been used widely and demonstrated in the field of aero industries etc. The purpose of this paper is to report the examples of the many diverse applications of Fiber Reinforced Plastic in construction materials of structures.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2022.04a
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• pp.73-74
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• 2022

Concrete structures occupy the largest proportion of modern infrastructure, and concrete structures often have cracking problems. Existing concrete crack diagnosis methods have limitations in crack evaluation because they rely on expert visual inspection. Therefore, in this study, we design a deep learning model that detects, visualizes, and outputs cracks on the surface of RC structures based on image data by using a CNN (Convolution Neural Networks) model that can process two- and three-dimensional data such as video and image data. do. An experimental study was conducted on an algorithm to automatically detect concrete cracks and visualize them using a CNN model. For the three deep learning models used for algorithm learning in this study, the concrete crack prediction accuracy satisfies 90%, and in particular, the 'InceptionV3'-based CNN model showed the highest accuracy. In the case of the crack detection visualization model, it showed high crack detection prediction accuracy of more than 95% on average for data with crack width of 0.2 mm or more.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2020.11a
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• pp.171-172
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• 2020

In this study, in order to understand the needs for infrastructure services experienced by the public, we compared the level of infrastructure service satisfaction and analyzed the characteristics of infrastructure services by region. In this study, as a result of comparing the level of infrastructure satisfaction between regions, transportation and living infrastructure services were generally low. However, the characteristics of infrastructure services within the region are clearly different from the results of the infrastructure satisfaction between regions. Therefore, it is necessary to examine the level of infrastructure satisfaction within the overlooked region, and the satisfaction, improvement importance, respondent characteristics, and quantitative indicators need to be considered.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2017.11a
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• pp.183-184
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• 2017

Some of the information created during the design phase of an New NPP life cycle is useful only for the execution of the construction phase; however, much of the information greatly impacts the longer-term operational phase. To most make use of design and construction information produced by data based design system during the construction and operation phase, This research is identified controlled data and drawn design information of controlled equipment from documents generated during the life-cycle stages. This study aimed to analyze related documents to assure traceability of controlled equipment from design phase through O&M and then suggested DB(Data Base) based control method on technical information of major equipment throughout nuclear power plant lifecycle.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.55-55
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• 2022

수공구조물을 설계하고 수자원 관리 정책을 수립하기 위해 일반적으로 IDF (Intensity-Duration-Frequency) 곡선을 활용한다. 통상 IDF 곡선은 연최대치계열을 통계적으로 분석하여 재현빈도 마다의 적절한 강우강도를 추정하여 결정한다. 신뢰할 수 있는 결과를 산출하기 위해 최소 30년 이상의 정상 강우자료의 통계분석이 권장되나, 긴 재현기간의 최대강우강도는 본질적으로 확률분포 함수로부터 추정한 값이라는 한계가 있다. 한편, 우리나라에서 종관기상관측을 통해 고해상도의 지상관측 강수자료가 장기간 누적되어 관측자료로부터 직접 최대강우강도-지속시간 사이의 관계식을 도출할 수 있게 되었다. 따라서, 실무에서 널리 사용되고 있는 '홍수량 산정 표준 지침'의 확률강우 분석 결과를 오랫동안 관측된 강우자료에서 찾은 최대강우강도와의 비교가 가능해졌다. 본 연구에서는 우리나라에서 50년 이상 강우가 관측된 24개의 지점에 대해 최대강우강도-지속기간 관계식을 분석하였다. 이 결과를 바탕으로 통계적으로 추정한 IDF 곡선이 실제 관측자료에서 나타난 최대강우강도를 얼마나 정확하게 추정하는지 검증해 보았다.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.101-101
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• 2022

IDF (Intensity-Duration-Frequency) 곡선에서 익숙하다시피 강우지속시간과 최대강우강도는 반비례한다. 그동안 이러한 관계를 살펴보는 것은 대개 수십 시간의 규모에 그쳤다. 이 연구에서는 과연 시계열에서 시간 규모를 계속 증가시키면서 해당 시간 동안의 최대강우강도가 어떻게 변하는지를 살펴보았다. 가능한 장기간의 강수관측이 이루어진 우리나라 24개 지점을 대상으로 시간 규모를 최장 한 세기까지 키우면서 최대강우강도의 변화를 분석하였다. 작은 시간 규모에서는 그 관계가 멱함수를 따르지만, 시간 규모가 점차 늘어나면서 최대강우강도는 설계 목적의 지속시간 범위에서 결정된 멱함수 또는 기존 IDF 곡선으로부터 외삽하기 어려워진다. 이러한 변화는 점차 정상 연강수량으로 점근하는 결과를 가져온다. 분석된 결과를 토대로 연 단위를 초과하는 지속시간에 걸친 최대강우강도의 감쇄를 적절하게 표현할 수 있는 함수식을 제시하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.56-56
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• 2022

지속시간 동안 물리적으로 발생 가능한 최대의 강수량으로 정의되는 PMP(Probable Maximum Precipitation)를 나타내는 한 가지 방법으로 포락곡선이 있다. 포락곡선은 최대강수량을 지속시간에 대해 도시한 것으로 역사적으로 발생한 극한 강수현상의 특징을 그대로 나타낸다. 오랜 기간 동안 강수 관측이 이루어졌다면 관측자료로부터 직접 포락곡선을 그릴 수 있겠으나, 지금까지 우리나라에서는 통계적 추정 방법을 통해 간접적으로 접근해왔다. 하지만, 강우관측자료가 상당히 누적된 지금에 이르러서는 직접 포락곡선을 도출하는 것이 가능해졌다. 이 연구에서는 50년 이상의 강우관측년도를 보유하고 있는 24개 종관기상관측 지점의 최대강우량을 종합하여 우리나라 기후조건을 대표할 수 있는 포락곡선을 산정하였다. 이번에 산정된 포락곡선을 우리나라 선행연구들에서 제시된 PMP와 비교하였으며, 전세계의 지속시간에 따른 최대강수량을 대표하는 Jennings law와도 비교하였다.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2022.11a
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• pp.19-20
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• 2022

Based on the survey analysis of safety accidents at construction sites that occur every year, most of them are caused by temporary structures. While analyzing in detail, it is confirmed that the main factors for such accidents are the quality problem of temporary equipment, unstable construction, and arbitrary change. As temporary structure is installed only for the construction of main structure, the reality is that no attention is paid to the construction of temporary structures.