• Fire Science and Engineering
• /
• v.24 no.1
• /
• pp.40-45
• /
• 2010

Asymmetric Slimflor Beam had been unveiled with Thor beam (Hat beam) in Sweden since the late 1970s and had been developed by British Steen and SCI. In the major advanced countries in Europe after the early 1990s have interested in and developed this method, it has been concrened as the absence of hot-rolled section steel in the United Kingdom and welded of asymmetric section steel in Finland in the 2000s. It can be increase total floor area about 10%, save the interior and exterior materials, reduce the waste through reduction of the floor height. And it has more excellent fire resistance performance because less exposed than a regular composite steel beam in fire. This study is purpose that, a fire resistance performance of the Asymmetric Slimflor Beam in fire, it compared the temperature range with deflection of structure by fire behavior and load ratio of structure through change the shape of the steel cross-section in standard fire condition.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.18 no.1
• /
• pp.1-12
• /
• 2015

This study is to analyze the heavy snowfall vulnerable area of snow load design criteria for greenhouse, cattle shed and building using ground measured snow depth data and Terra MODIS snow cover area(SCA). To analyze the heavy snowfall vulnerable area, Terra MODIS satellite images for 12 years(2001-2012) were used to obtain the characteristics of snow depth and snow cover areas respectively. By comparing the snow load design criteria for greenhouse(cm), cattle shed($kg/m^2$), and building structure($kN/m^2$) with the snow depth distribution results by Terra MODIS satellite images, the facilities located in Jeolla-do, Chungcheong-do, and Gangwon-do areas were more vulnerable to exceed the current design criteria.

• Land and Housing Review
• /
• v.12 no.4
• /
• pp.1-13
• /
• 2021

This study investigates the effectiveness of Jeju's public Wi-Fi policy for which the key factors of public Wi-Fi use and location characteristics are analyzed. Spatial regression analysis was conducted within a 100 m radius of public Wi-Fi access points. In the analysis, the dependent variable was public Wi-Fi usage time while independent variables included demographic factors, location factors, and other factors. The findings reveal that demographic factors such as the number of residents, the number of workers, and the number of visitors had a close correlation with the use of public Wi-Fi. In addition, the number of bus stops and land prices of each parcel, land use mix, and AP installation period had a positive correlation with the use of public Wi-Fi. On the contrary, the number of buildings by use, the total floor area of buildings, and the number of tourist attractions had negative correlations with public Wi-Fi usage time. These findings provide policy implications that more active publicity on Jeju's public Wi-Fi is needed and the convenience for access needs to be improved.

• Journal of the Korea Institute of Building Construction
• /
• v.18 no.6
• /
• pp.621-631
• /
• 2018

The repair and maintenance cost of domestic public rental housing is an issue of considerable interest and growing financial concern. This paper suggests a quantity-based model as an alternative method for predicting costs, instead of the conventional model which is based on actual cost data. Furthermore, this paper provides a forecast of the repair costs incurred each year during the multi family house's maintenance phase (40 years). The recently changed the long-term repair plan and quality-improved interior materials were considered into the research. In order to estimate the cost of maintenance work, 5 sample apartments were selected and analyzed. The repair and maintenance cost from the case studies was converted to cost per household and per floor area for general use. On the other hand, the net present value method was applied to reflect the effect of time. We expect that the results will help to establish expenditure plans that are more effective for public rental housing in the maintenance stage.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2022.05a
• /
• pp.501-501
• /
• 2022

2014년 개정된 물의 재이용 촉진 및 지원에 관한법률(이하, 물재이용법)에 따라서 빗물이용시설의 수는 꾸준히 증가하고 있는 추세이나 실제 연간사용량의 경우 연별 증가량은 미미하다. 또한 2016년도 환경부 하수도 통계에 따른 2,043개의 빗물이용시설 중 집수면적 미파악시설의 749개, 여과시설 유무 미파악시설 564개, 연간 운영비 산출 불가능 시설 1,843개, 연강 사용량 미집계 시설 905개로 관리실태가 부실함을 확인할 수 있다. 이에 빗물이용시설의 설치·운영 실태조사 및 문제점을 분석하고 빗물이용이 비교적 활성화 된 시설을 대상은 현장조사를 수행을 통해 빗물이용시설의 현황을 분석하고 현실적인 여건을 반영하여 빗물이용을 활성화할 수 있는 방안을 마련하고자 하였다. 물재이용법에 따른 빗물이용시설 법정의무대상시설의 빗물활용처는 전체의 약 92%가 조경요수로 활용하고 있으며, 다음으로 청소화장실용수(약 3%)로 활용하고 있다. 건축물 용도에 따라서 골프장, 공공기관청사/공공업무시설, 대규모점포, 실내체육관/종합운동장, 학교의 경우 건축물 용도별로 각 30% 정도가, 공동주택의 경우 약 60%가 빗물이용시설을 활용하고 있음에도 빗물을 사용하지 았는 것으로 파악되었다. 이는 빗물을 사용해야하는 시기에 저류조에 저류된 빗물의 양이 부족한 것과 운영비 부담 순으로 조사되었다. 따라서 빗물이용시설의 빗물이용활성화를 위해서는 물수요-공급에 대한 개념을 도입한 물수지 분석이 필요하며, 운영비 부담을 줄일 수 있는 다양한 방안을 탐색하는 것이 적절할 것이다. 현장조사 결과에서도 기술 등의 발달로 빗물이용시설은 잘 구축되고 있으나 활용처에서 필요한 필요수량에 따라 활용률이 상이한 것으로 조사되었다. 이러한 실태조사 및 현장조사를 바탕으로 빗물이용시설의 빗물이용 활성화를 위한 방안에 대하여 기술적 및 제도적 방안에 대해서 제안하였다.

• Journal of the Korea Institute of Building Construction
• /
• v.23 no.2
• /
• pp.165-173
• /
• 2023

This research proposed a model for automatically monitoring the quality of insulation adhesive application in external insulation construction. Upon case implementation, the area segmentation model demonstrated a 92.3% accuracy, while the area and distance calculation accuracies of the proposed model were 98.8% and 96.7%, respectively. These findings suggest that the model can effectively prevent the most common insulation defect, insulation failure, while simultaneously minimizing the need for on-site supervisory personnel during external insulation construction. This, in turn, contributes to the enhancement of the external insulation system. Moving forward, we plan to gather construction images of various external insulation methods to refine the image segmentation model's performance and develop a model capable of automatically monitoring scenarios with a considerable number of insulation materials in the image.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2021.06a
• /
• pp.158-158
• /
• 2021

도시에 불투수면적이 증가하고, 기후변화가 극심해져감에 따라 홍수 및 열섬현상과 같은 도시의 물 문제가 발생하고 있다. 이를 해결하기 위한 정책의 일환으로 우리나라의 녹색건축인증제도(Green Standard for Energy and Environmental Design, G-SEED)에서는 물순환 관리를 평가하고 있다. 하지만, 현재 G-SEED의 평가방법을 살펴보면 빗물관리시설의 설치 정도로 평가하고 있고, 강우 특성 또한 고려되고 있지 않다. 그러므로 본 연구에서는 G-SEED의 빗물관리 및 이용 항목에 대해 수문 모델을 통해 효과를 정량화함으로써 성능에 따라 평가할 수 있는 방법을 제안하였다. 빗물관리 항목에서는 유출저감률을, 빗물이용 항목에서는 빗물이용률을 평가지표로 선정하였고, 각 평가인자를 산출하기 위하여 개념모델을 적용하였다. 빗물이용시설의 경우 초기우수배제장치 용량과 필터 효율에 따른 빗물유입량의 변화와 급수인원에 따른 수요량 변화를 고려한 수문모델을 개발하였고, 수요량과 빗물저장조 용량에 따른 유출저감률과 빗물이용률을 알아보기 위해 MATLAB을 이용하여 모의해보았다. 또한, 옥상녹화의 경우에는 강우, 저류, 증발산, 유출을 고려한 수문흐름모델을 적용하였고, 토층의 두께와 배수(저장) 층의 용량에 따라 모의하여 평가기준을 선정하였다. 제안된 수문모델의 검증을 위하여 서울대학교 기숙사와 35동 옥상녹화의 실측데이터를 비교하였고, 적용성 평가를 위해 RMSE(Root Mean Square Error)와 NSE(Nash-Sutcliffe Efficiency)를 이용하였다. 본 연구에서 제안된 방법을 통해 빗물관리시설의 수문학적 성능에 따른 평가가 가능해질 것이며 설계자와 건축가들로 하여금 실질적인 효과를 내는 시설을 설치하게끔 유도할 수 있을 것이다.

• Journal of the Korea Institute of Building Construction
• /
• v.23 no.5
• /
• pp.547-558
• /
• 2023

This research delves into the fabrication of an ultra-high-strength concrete, enriched with oxidized graphene nanoplatelet(GO) and hollow glass powder(HGP), notably eschewing the conventional inclusion of silica fume(SF). The primary objective was to scrutinize the autogenous shrinkage characteristics of this innovative formulation. It was discerned that the NewMix specimen, which incorporated the cGO(sourced from Company C) and HGP, and intentionally bypassed SF, showcased a commendable 13% reduction in autogenous shrinkage relative to the benchmark(Ref) specimenthat incorporated SF. Moreover, the proclivity for crack formation owing to autogenous shrinkage in the NewMix was observed to manifested by NewMix at the juncture of cracking emerged as the apex value. Attributed to the expansive specific surface area and exemplary dispersibility of cGO, it was postulated that the concrete's pore structure benefitted from enhanced infill, leading to a reduction in autogenous shrinkage. Additionally, the cGO integration fortified the concrete's resistance to crack initiation. Consequently, such an enhancement is posied to be pivotal in mitigating crack propagation resulting from autogenous shrinkage in ultra-high-strength concrete.

• Journal of the Korean GEO-environmental Society
• /
• v.25 no.5
• /
• pp.21-27
• /
• 2024

Limestone-based cement has been well utilized as a construction material throughout the world, but as civil and architectural development accelerates, limestone will gradually be depleted. The use of cement, the main material for civil engineering and construction, is rapidly increasing in modern times, and the depletion of high-quality limestone resources will be greater than expected in the future. Therefore, if existing resources can be used as construction materials to replace cement based on accumulated technology, the depleting limestone resources can be utilized for a longer period of time. In order to determine whether Hwang-toh, which forms about 10% of the surface layer of Korea's terrain, can be partially utilized as a construction material, this study aims to develop a Hwang-toh accelerator agent and prove whether it can be applied to the field through indoor tests.

• Journal of the Korea Institute of Building Construction
• /
• v.24 no.3
• /
• pp.355-362
• /
• 2024

The sustained upkeep of apartment buildings necessitates ongoing maintenance and timely repairs, particularly given their complex nature due to extensive areas, common facilities, and multiple residential and service structures. Additionally, the need for cost-effective maintenance is paramount for ensuring safety, preserving value, and maintaining economic efficiency. However, the multitude of external variables influencing apartment complex maintenance, coupled with the challenges in data collection, have resulted in limited research in this domain. To address this gap, the current study aims to develop a framework for predicting maintenance costs utilizing deep learning techniques, grounded in real-world apartment complex maintenance cost data. This study intends to provide a practical and valuable contribution to the field of apartment complex management, empowering stakeholders with enhanced predictive capabilities for optimizing maintenance strategies and resource allocation.