• Proceedings of the Korean Nuclear Society Conference
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• 1998.05b
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• pp.891-896
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• 1998

최근 도시의 기능이 날로 다양화되고 복잡해짐에 따라 지하공간에 대한 활용도가 대단히 높아지고 있으며, 한국전력공사에서도 원자력 발전소에 많은 전력구조물을 지하에 건설하고 있다. 이러한 지하구조물을 보다 효율적이고 신속하게 유지관리하기 위해서는 지하 구조물의 구조설계 및 도면제작을 자동으로 수행할 수 있는 시스템의 개발이 필수적이다. 이에 따라 한국전력공사 전력 연구원에서는 기존의 설계도면 및 정보에 쉽게 접근할 수 있으며, 구조설계에서부터 도면제작에 이르는 과정을 일괄 처리할 수 있는 “Box 구조물 자동화 설계 시스템”을 개발하여 실무에 적용하고 있다. 본 시스템의 개발은 지하구조물의 계획, 설계, 시공조건 등의 변경에 신속하게 대처할 수 있으므로 설계업무의 효율성을 극대화함은 물론 생산성의 향상, 품질의 고급화 및 설계자료 유지관리의 선진화에 크게 기여할 것으로 사료된다.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2011.04a
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• pp.320-323
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• 2011

본 논문에서는 BIM의 기술 중 하나인 DMU(Digital Mock-Up)을 실제 프로젝트에 적용하여 업무 효율에 기여한 결과를 소개한다. 삼성물산 건설부문의 경우 DMU는 건설 프로젝트의 입찰단계 및 시공계획 단계에서 적용되어 많은 성과를 거두었다. 입찰단계의 경우 대상 프로젝트의 교량, 터널 등의 구조물을 실제와 같은 지형조건 및 설계 조건으로 모델링하여 프로젝트의 개요 파악, 정보의 공유, 선정된 공법의 효과 분석 등에 적용하였으며 시공단계에서는 주로 복잡한 구조물의 철근 간섭 검토 및 효율적인 배근 방법 분석을 위한 도구로 사용되었다. 적용결과 공기단축, 원가절감, 시공성 향상에 기여하였으며, DMU는 향후 프로젝트 관리도구로 통합되어 구조물공사의 원가절감 및 생산성 향상에 기여할 것으로 예상된다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.501-509
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• 2020

Earthwork in the construction field is a core process of construction, and it is used in almost all processes and is connected to the safety of the structure directly. Therefore, it is essential to analyze and confirm the road tamping through a plate bearing test and a field density test. The current analog measurement methods for road tamping measurement is difficult to check in real-time, accurate location information, time information, and the history management of workers in the field. Therefore, IoT (Internet of Things)-based DCPT (Dynamic Cone Penetration Test) was developed for a smart construction environment with a solution to the problem. The Smart DCPT system operated in a smartphone environment is IoT-based. The Smart DCPT system can apply various applications and has advantages of flexibility, low cost, and high efficiency. The IoT-based DCPT records the digital road tamping information, location information, time information, and worker information per measurement count. In addition, the various information is transmitted in real-time to the management center through a smartphone. This system is expected to contribute to the management of the construction process.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.27 no.4
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• pp.289-296
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• 2014

The rebar detailing is an important work influencing the final performance and quality of RC structures. But it is one of the most irrational and illogical activity in construction site. Many groups of workers, including main contractors, structural engineers, shop drawers, rebar fabricators, and etc., participate in this activity. A loosely-organized process for this activity is apt to produce a big amount of rebar loss or even degraded structures. A 3-dimensional rebar auto-placing system, called as Rebar Hub, has been designed and implemented in this research. Rebar Hub provides a totally integrated service from 3D structural modeling of buildings to rebar auto-placing considering anchorage, splice, and the length of ordered rebar. In addition, Rebar Hub can recognize the 2D drawing CAD files and then build 3D structural models which are used for the start point of 3D rebar auto-placing. After rebar auto-placing, each members of the 3D structural model have rebar information belonging to them. It means that the rebar information can be used for the afterward works such as quantity-survey, manufacturing and fabrication of rebars. Rebar Hub is showing outstanding performance while applying to practical projects. It has almost five times productivity and reduces the rebar loss up to 3~8% of the initially-surveyed amount of rebar.

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.34 no.6
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• pp.63-69
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• 2018

The machine learning model can capture the dynamics of building systems with less inputs than the first principle based simulation model. The training data for developing a machine learning model are usually selected in a heuristic manner. In this study, the authors developed a machine learning model which can describe supply air temperature from an AHU in a real office building. For rational reduction of the training data, the progressive sampling method was used. It is found that even though the progressive sampling requires far less training data (n=60) than the offline regular sampling (n=1,799), the MBEs of both models are similar (2.6% vs. 5.4%). In addition, for the update of the machine learning model, the normalized mutual information (NMI) was applied. If the NMI between the simulation output and the measured data is less than 0.2, the model has to be updated. By the use of the NMI, the model can perform better prediction ($5.4%{\rightarrow}1.3%$).

• KSCE Journal of Civil and Environmental Engineering Research
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• v.44 no.2
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• pp.161-172
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• 2024

A Copula approach has the advantage of providing structural dependencies for representing multivariate distributions for the hydrometeorological variable marginal distribution involved, however, copulas are inflexible for extending in high dimensions, and satisfy certain assumptions to make the dependency. In addition, since the process of estimating design rainfall under the future climate associated with durations given a return period is mainly analyzed by 24-hour annual maximum rainfalls, the dependency structure contains information only on the daily and sub-daily extreme precipitation. Methods based on bivariate copula do not provide information for other duration's dependencies, which causes the intensity to be reversed. The vine copula has been proposed to process the multivariate analysis as vines consisting of trees with nodes and edges connecting pair-copula construction. In this study, we aimed to downscale under climate change to produce sub-daily extreme precipitation data considering different durations based on vine copula.

• Korean Journal of Construction Engineering and Management
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• v.17 no.1
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• pp.66-75
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• 2016

As the demands for traditional Korean housing has been increased in recent years, modernized Korean traditional housing (Hanok) was developed as a way of providing Hanok for the public. Modernized Hanok attempts to remedy the shortcomings of the traditional hanok (i.e., high unit cost of building and low energy performance). In the previous researches, standardization and productivity improvement for modernized Hanok dissemination have been intensely developed. Above all, cost estimating for modernized Hanok is also an important factor. In an effort to provide effective system for Hanok construction, this paper developed 'standard cost data' for modernized Hanok. Distinct characteristic of modernized Hanok construction were analyzed first. Then, basic structure was identified, and major items were selected for Hanok standard cost data. However, this set of cost data was developed based on two mock-up Hanok projects actually constructed. Accordingly, this standard cost data will be further updated and modified by continuously accumulating real-world Hanok projects

• Proceedings of the KAIS Fall Conference
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• 2009.05a
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• pp.825-828
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• 2009

기후변화는 기상재해뿐만 아니라 지속적인 해수면 상승의 원인이 되고 있으며, 자연 생태계화 인간의 사회, 경제시스템 전반에 걸쳐 영향을 미치고 있으며, 건설분야도 이와 무관하지 않다. 특히 기후변화는 해수면 상승으로 이어져 사회기반시설인 항구, 연안도로, 철도, 빌딩 등과 연안산업인 석유 및 석유화학공장, 그리고 서비스업인 관광에 대한 위협으로 나타나고 있다. 이러한 해수면 상승은 토지 및 건물의 재산 가치 하락과 해수면 상승에 따른 보호비용 증대, 구조물의 급속한 노후화에 따른 유지관리비용의 증가뿐만 아니라 정치적 제도적 불안 및 사회동요 등을 유발할 수 있다. 우리나라의 경우, 지난 100년간 6대 도시 평균기온이 약 $1.5^{\circ}C$ 상승하였으며, 해수면(제주기준)은 40년간 22cm가 상승하였다. 특히 제주의 경우 매년 5mm씩의 해수면 상승을 보이고 있으며 이는 전 지구 해수면 상승률보다 3배 높은 수치이다. 본 연구는 해수면의 상승에 따른 건설분야의 영향을 분석하기 위한 선도적인 연구로서, 연구의 범위를 제주지역에 국한하였으며, 해수면 상승에 따른 영향 지역을 추출하고, 영향 지역 내 건설시설물 정보를 추출하기 위한 절차를 규명하였다. 본 연구 결과는 유지보수 및 시설물 이설에 따른 공사비 산출의 근거가 될 뿐만 아니라 관련 예산 확보에 대한 근거 자료로 활용될 수 있을 것이다. 향후 관련 지역의 유지보수 및 이설 공사비 정보의 추출 및 DB 구축을 통해 연안 건설 시설물의 이설에 따른 공사비를 예측할 수 있을 것이다.

• Journal of the Society of Disaster Information
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• v.7 no.1
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• pp.1-11
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• 2011

Plans of underground roads have been established, and the possibilities of underground road constructions have been growing in Korea. However, the study on characteristics of underground roads, the enactment of law, and the establishment of design criteria haven't been conducted so far, if any. Based on these backgrounds, the paper presents the basic direction on the construction method of underground roads. It also investigates the needs and characteristics of underground roads and reviews domestic and foreign examples. Major results by implementing the research are as follows: 1) when selecting the route of underground roads, the use of underground space, technical aspects, and traffic systems should be comprehensively considered; 2) the design speed of underground roads will be 10km/h above the speed limit to secure safety; 3) disaster prevention facilities should be planned to connect high traffic management system for coping with unexpected situations. Although this study has a limitation that hasn't reflected the driver's characteristics on new spaces such as underground roads, it has some significance that it suggests the major reviewing issues on the construction of underground roads, and presents the direction through the previous study.

• Journal of the Society of Disaster Information
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• v.18 no.2
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• pp.395-404
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• 2022

Purpose: Small-scale construction sites have insufficient systematic safety management activities, and due to the characteristics of the construction site, the production structure is complex due to external environmental factors, and the risk of construction equipment is very high. We would like to propose a checklist method among practical risk assessment techniques that can derive risk factors for disaster prevention at small construction sites and reduce disasters. Method: Risk factors were derived by analyzing literature research and disaster cases, and detailed work for a checklist of risk assessment suitable for small-scale construction sites was classified based on risk factor items. Result: Hazard factors were divided into 6 major categories, and 29 detailed types of work were classified based on actual work types, and 80 detailed works were classified accordingly. Conclusion: By arranging risk factors suitable for small-scale construction sites according to the classification system, the lack of expertise in the construction site can be supplemented, and risk factors can be derived more easily and disaster reduction can be expected through establishment of safety measures.