• International Journal of Railway
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• 제8권1호
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• pp.15-20
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• 2015

As a result of the current population concentrations in urban centers, demand for intercity transportation is increasing rapidly. Railway transportation is becoming popular as an intercity transportation because of its timely service, travel speeds and transport efficiency. Among the many railway systems, the innovative and environmentally friendly maglev system has been rated very highly as the next-generation intercity railway system. Linear induction motors are widely used for the propulsion of maglev trains because of their light weight and low construction costs. The urban maglev that was recently completed in Incheon airport site employs a 110km/h class linear induction motor. However, this system was designed to meet requirements for inner-city operations and is not suitable as an intercity transportation system, which requires medium to high speeds. Therefore, this study deals with the characteristics and designs of linear induction motors used for the propulsion of maglev trains that can be used as intercity trains. Rail car specifications for high-speed trains have been presented, and the characteristics of linear induction motors that can be used for the propulsion of these trains have been derived using the finite element method (FEM).

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.1243-1244
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• 2022

In recent years, the growing interest in off-site construction has led to factories scaling up their manufacturing and production processes in the construction sector. Consequently, continuous large-scale site monitoring in low-variability environments, such as prefabricated components production plants (precast concrete production), has gained increasing importance. Although many studies on computer vision-based site monitoring have been conducted, challenges for deploying this technology for large-scale field applications still remain. One of the issues is collecting and transmitting vast amounts of video data. Continuous site monitoring systems are based on real-time video data collection and analysis, which requires excessive computational resources and network traffic. In addition, it is difficult to integrate various object information with different sizes and scales into a single scene. Various sizes and types of objects (e.g., workers, heavy equipment, and materials) exist in a plant production environment, and these objects should be detected simultaneously for effective site monitoring. However, with the existing object detection algorithms, it is difficult to simultaneously detect objects with significant differences in size because collecting and training massive amounts of object image data with various scales is necessary. This study thus developed a large-scale site monitoring system using edge computing and a small-object detection system to solve these problems. Edge computing is a distributed information technology architecture wherein the image or video data is processed near the originating source, not on a centralized server or cloud. By inferring information from the AI computing module equipped with CCTVs and communicating only the processed information with the server, it is possible to reduce excessive network traffic. Small-object detection is an innovative method to detect different-sized objects by cropping the raw image and setting the appropriate number of rows and columns for image splitting based on the target object size. This enables the detection of small objects from cropped and magnified images. The detected small objects can then be expressed in the original image. In the inference process, this study used the YOLO-v5 algorithm, known for its fast processing speed and widely used for real-time object detection. This method could effectively detect large and even small objects that were difficult to detect with the existing object detection algorithms. When the large-scale site monitoring system was tested, it performed well in detecting small objects, such as workers in a large-scale view of construction sites, which were inaccurately detected by the existing algorithms. Our next goal is to incorporate various safety monitoring and risk analysis algorithms into this system, such as collision risk estimation, based on the time-to-collision concept, enabling the optimization of safety routes by accumulating workers' paths and inferring the risky areas based on workers' trajectory patterns. Through such developments, this continuous large-scale site monitoring system can guide a construction plant's safety management system more effectively.

• 한국신재생에너지학회:학술대회논문집
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• 한국신재생에너지학회 2005년도 춘계학술대회
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• pp.416-421
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• 2005

Most of solar system dissemination has been focused on domestic hot water system of which utilization to a building is relatively simple and safe than solar heating system. Through the survey on a cause of solar house dissemination failure in Korea, we conclude that design integration and systematic approach method for technology application are the most important element for a successful solar house. KIER(Korea Institute of Energy Research) and Hanbat National University have started new project on a development of Zero energy Solar House, called ZeSH which can be sustained just by natural energy without the support of existing fossil fuel. This is the 1st phase research of 10 years long-term ZeSH plan which develops a low-cost and $100\%$ self sufficient ZeSH. The goal of 1st phase ZeSH research is to get a $70\%$ self sufficiency only in thermal loads. Actual demonstration house, named KIER ZeSH I was designed and constructed as a result of 1st phase research work in the end of 2002. Various innovative technologies such as super insulation, high performance window, passive and active solar systems, ventilation heat recovery system are applied and evaluated to the KIER ZeSH I. A lot of computer simulations had been conducted for the optimal design and system integration in every design steps. Considering all the results from detailed hourly computer simulation, it is expected that at least $70\%$ self-sufficiency in thermal loads which is 1st phase target value can be excessively achieved in actual demonstration house. Besides, many valuable findings from the design and analysis to construction could be established such as collaboration method among the participants, practical design and construction techniques for system integration and the others. The purpose of this paper is to introduce the main findings through the development of KIER ZeSH I project. Practical guidelines in every design step for new low- or zero- energy solar house is proposed as result.

• 한국건설순환자원학회논문집
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• 제6권4호
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• pp.112-118
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• 2012

철강 산업에서는 고로 슬래그, 전기로 슬래그, 전로 슬래그 등 많은 부산물이 발생한다. 그 중 제강 슬래그는 일반 골재와 달리 높은 CaO와 낮은 $SiO_2$가 존재하며, 이를 시멘트와 콘크리트에 적용하게 되면 일부 알칼리 반응을 발생시키는 원인이 된다. 한편, 국내외적으로 제강 슬래그 중 전기로 산화슬래그의 콘크리트 구조용 골재로 사용하는 기준이 제정되어 사용을 장려하고 있지만, 슬래그에 대한 체적 안정성은 해결하지 못하였다. 최근에 이런 문제점을 해결하기 위하여 제강 슬래그의 고속의 공기로 냉각하는 방법이 국내에서 개발되었으며, 이를 적용할 경우 슬래그의 체적 붕괴를 야기시키는 유리 석회의 함유량을 최소화시키고 철 산화물에 대한 안정성을 갖는 것으로 보고되고 있다. 이에 본 연구에서는 철강 산업에서 발생되는 제강슬래그의 고속의 공기로 냉각한 급냉 전기로 산화슬래그의 콘크리트용 골재로서 활용하기 위한 기초 연구이다. 이를 위해 급냉 전기로 산화슬래그 잔골재의 품질 특성을 검토하였으며, 골재의 입도별에 따른 모르타르 특성을 검토하였다. 실험 결과 급냉 전기로 산화슬래그 잔골재의 특성은 아토마이저 공정에 의한 특성을 반영하고 있으며, 기존 콘크리트용 골재 입도 분포 범위에 비해 작은 입도 분포 범위를 가지는 것으로 나타났다.

• 한국건설관리학회논문집
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• 제9권1호
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• pp.96-106
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• 2008

국내 CM은 2001년 건설산업기본법에 의해 개념과 범위가 정의된 후 지속적인 성장을 계속해 오고 있다. 하지만, 이러한 CM 제도에 기반한 성장에도 불구하고 국내에서의 CM 적용성과는 기대치에 비해 상대적으로 낮은 것으로 나타났다. 그 주요원인의 하나로 국내 CM제도가 책임감리에 비하여 업무범위가 넓지만, 대가기준은 책임감리에 비해 낮기 때문인 것으로 분석되었다. 따라서, 국내 CM 대가체계의 합리적인 기준을 정립하는 것이 시급할 것으로 판단된다. 본 연구에서는 CM 대가체계의 합리적인 기준을 마련하기 위하여 CMAA, ASCE, DOE, DOL 등의 다양한 해외사례 벤치마킹 연구를 통하여 국내 CM 대가체계를 비교하여 대가 상승요인을 추정하고 대가산정 개선방향을 제시하였다. 분석결과 대가수준은 해외에 비하여 현저하게 낮은 수준인 것으로 판단되었으며, 업무범위는 해외와 비교하여 그 폭이 좁으며 획일적인 구조를 가진 것으로 분석되었다. 따라서, 본 연구에서는 글로벌스탠다드에 따르는 국내 CM 대가체계를 개선하기 위하여 실비정액보수가산(Cost Plus Fixed Fee) 방식을 제시하고, 입 낙찰 전반에 걸친 CM 대가체계에 대한 기준(Framework)을 제시하였다.

• 화약ㆍ발파
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• 제37권2호
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• pp.22-30
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• 2019

화약을 이용하여 작업하는 현장에서는 발파에 의해 발생되는 소음과 진동의 영향으로 작업상 많은 제약을 받는다. 최근에 민원 발생 증가 및 보안물건에 대한 환경규제 기준이 대폭 강화되고 있는 추세이다. 때문에 보안물건이 근접해 있는 경우 일반적으로 기계식굴착에 의해 작업이 이루어지고 있다. 기계식굴착 공법은 발파공법에 비해 소음과 진동을 저감시키는 장점을 갖고 있으나 굴착하고자 하는 암반의 상태에 따라서 계획 보다 시공성이 떨어지는 경우가 발생되기도 한다. 일반적으로 굴착암이 극경암에 가까울수록 시공성이 낮아진다. 본고에서는 전자뇌관을 사용하여 보안물건이 초근접해 있는 공사구간을 시공한 사례에 대해 설명하고자 한다. 당 현장은 인근에 보안물건(철도)이 근접(9.9m)해 있어 암파쇄 굴착공법으로 설계가 되어 시공하던 중, 극경암 노출에 따른 시공성 저하 및 공사기간 단축을 위한 대안 공법으로 전자뇌관을 이용한 시공을 검토하게 되었다. 전자뇌관 이용한 발파작업으로 주변 보안물건에 미치는 영향을 최소화 하면서 시공성과 경제성을 극대화 할 수 있었다. 한화에서 생산하는 하이트로닉($HiTRONIC^{TM}$)은 혁신적인 안정성과 높은 기폭 신뢰성을 갖고 있어 초정밀발파가 가능하다. 전자뇌관은 철도 및 고속도로현장, 대형 석회석 광산을 비롯한 도심지 터파기 등에서 널리 사용되고 있다.

• Earthquakes and Structures
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• 제12권3호
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• pp.359-374
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• 2017

The seismic events in Northern Italy, May 2012, have revealed the seismic vulnerability of typical Italian precast industrial buildings. The aim of this paper is to present a seismic fragility model for Italian RC precast buildings, to be used in earthquake loss estimation and seismic risk assessment by comparing two building typologies and three different codes: D.M. 3-03-1975, D.M. 16-01-1996 and current Italian building code that has been released in 2008. Based on geometric characteristics and design procedure applied, ten different building classes were identified. A Monte Carlo simulation was performed for each building class in order to generate the building stock used for the development of fragility curves trough analytical method. The probabilistic distributions of geometry were mainly obtained from data collected from 650 field surveys, while the material properties were deduced from the code in place at the time of construction or from expert opinion. The structures were modelled in 2D frameworks; since the past seismic events have identified the beam-column connection as the weakest element of precast buildings, two different modelling solutions were adopted to develop fragility curves: a simple model with post processing required to detect connection collapse and an innovative modelling solution able to reproduce the real behaviour of the connection during the analysis. Fragility curves were derived using both nonlinear static and dynamic analysis.

• Structural Engineering and Mechanics
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• 제60권3호
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• pp.471-488
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• 2016

This study predicts the strength of rotary brace damper by analyzing a new set of probabilistic models using the usual method of multiple linear regressions (MLR) and advanced machine-learning methods of multivariate adaptive regression splines (MARS), Rotary brace damper can be easily assembled with high energy-dissipation capability. To investigate the behavior of this damper in structures, a steel frame is modeled with this device subjected to monotonic and cyclic loading. Several response parameters are considered, and the performance of damper in reducing each response is evaluated. MLR and MARS methods were used to predict the strength of this damper. Displacement was determined to be the most effective parameter of damper strength, whereas the thickness did not exhibit any effect. Adding thickness parameter as inputs to MARS and MLR models did not increase the accuracies of the models in predicting the strength of this damper. The MARS model with a root mean square error (RMSE) of 0.127 and mean absolute error (MAE) of 0.090 performed better than the MLR model with an RMSE of 0.221 and MAE of 0.181.

• 한국기계가공학회지
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• 제14권6호
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• pp.57-62
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• 2015

A large variety of pipe flanges are required in the marine and construction industry. Pipe flanges are usually welded or screwed to the pipe end and are connected with bolts. This approach is very simple and has been widely used for a long time; however, it results in high development costs and low productivity, and the products made through this approach usually have safety problems in the welding area. In this research, a new approach for forming pipe flanges based on cold forging and the floating die concept is presented. This innovative approach increases the effectiveness of the material usage and saves time and costs compared with the conventional welding method. To ensure the dimensional accuracy of the final product, finite element analysis (FEA) was carried out to simulate the process of cold forging, and orthogonal experiment methods were used to investigate the influence of four manufacturing factors (stroke of distance, pin die angle, forming of pipe diameter, and speed of the die) and predict the best combination of them. The manufacturing factors were obtained through numerical and experimental studies, which show that the approach is very useful and effective for the forming of pipe flanges and could be widely used in the future.

• 한국IT서비스학회지
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• 제17권1호
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• pp.17-32
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• 2018

The city image is considered one of important symbolic and important factors in selecting the travel destination. Many cities are trying to be an attractive and popular city to tourists through the construction of a good brand image by utilizing their representative characteristics. This study measures the city brand image by applying a big data analytic method. In addition, the big data measurement results were rearranged and analyzed to identify further detailed city images by utilizing several previous interpretation methods. Our study has chosen Dubai since this city has the diverse images due to its regional as well as economic characteristics. In particular, nowadays Dubai has been recognized as one of the most important touristic places in the Middle East region for its modern and innovative images in spite of the limitations of location, weather, religion, and even political issues of neighbor countries. Founded on a big data analysis rather than a questionnaire-based survey, the presented interpretation methods are evaluated to improve the understanding of Dubai's diverse city images. In addition, based on the results of this research, it is expected to have a practical impact on establishing the effective marketing strategies to build and implement the valuable city brand image.