• 제목/요약/키워드: Architectural Engineering

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Korean Engineering Firms' Competitiveness Change for the Last Decade

  • Jung, Mincheol;Kim, Handon;Choi, Seeun;Cho, Hyunsang;Oh, Donggeun;Kim, Jimin;Jang, Hyounseung
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.599-607
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    • 2022
  • Recently, there has been a steady decrease in the proportion of the construction sector among Korean engineering firms. Thus it is essential for Korean engineering firms in the construction sector, which lack experience in overseas ventures, to identify and improve their competitiveness for successful overseas expansion. Therefore, in this study, changes in Korean engineering firms' capabilities for the last decade were analyzed to promote entry into overseas road and water resource engineering markets. Competency factors that require urgent improvement were derived based on Importance-Performance Analysis (IPA) as a tool for quantitative measurement. As a result, the factor that shows low performance compared to the importance is an overall understanding of the target country in the road and water resource areas. Knowledge of regulatory issues on design, the ability of time management software, and knowledge of the regulatory problems on construction safety are also insufficient. This study can be used as a research methodology to identify competitiveness that Korean engineering firms have to strengthen when they advance into overseas markets in roads, water resources, and other areas.

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A Case Study on Architectural Engineering Design Using Action Learning

  • Jang, Myung-Houn;Choi, Hee-Bok
    • 한국건축시공학회지
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    • 제13권1호
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    • pp.10-19
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    • 2013
  • Companies want universities to produce graduates with creativity and problem-solving skills, and for this reason universities have extended engineering design education, including in the field of architectural engineering. This paper investigates an engineering design class in the Department of Architectural Engineering, J University. The class was taught in 2010 and 2011using an Action Learning (AL) teaching-learning strategy. The students responded that the level of participation and satisfaction was high in the Action Learning classes, and role allocation or responsibility and communication of the project teams were very effective. But it was also found that as Action Learning is such a new method for students of engineering design, an orientation session that describes what to do and what to prepare should be given before the class starts.

Design of an actuator for simulating wind-induced response of a building structure

  • Park, Eun Churn;Lee, Sang-Hyun;Min, Kyung-Won;Chung, Lan;Lee, Sung-Kyung;Cho, Seung-Ho;Yu, Eunjong;Kang, Kyung-Soo
    • Smart Structures and Systems
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    • 제4권1호
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    • pp.85-98
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    • 2008
  • In this paper, excitation systems using a linear mass shaker (LMS) and an active tuned mass damper (ATMD) are presented to simulate the wind induced responses of a building structure. The actuator force for the excitation systems is calculated by using the inverse transfer function of a target structural response to the actuator. Filter and envelop functions are used to prevent the actuator from exciting unexpected modal responses and an initial transient response and thus, to minimize the error between the wind and actuator induced responses. The analyses results from a 76-story benchmark building problem for which the wind load obtained by a wind tunnel test is given, indicate that the excitation system installed at a specific floor can approximately reproduce the structural responses induced by the wind load applied to each floor of the structure. The excitation system designed by the proposed method can be effectively used for evaluating the wind response characteristics of a practical building structure and for obtaining an accurate analytical model of the building under wind load.

Development Strength of Headed Reinforcing Bars for Steel Fiber Reinforced Concrete by Pullout Test

  • Kim, Seunghun;Paek, Sungchol;Lee, Changyong;Yuk, Hyunwoong;Lee, Yongtaeg
    • Architectural research
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    • 제20권4호
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    • pp.129-135
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    • 2018
  • In order to compare the development performance of headed reinforcing bar and straight reinforcing bar in tension for steel fiber reinforced concrete (SFRC), pullout test of specimens with reinforcing bar which was anchored on simple beam perpendicularly was conducted. The experimental variables were steel fiber volume ratio ($V_{Rsf}$), concrete compressive strength, and existence of head. As the result of test, splitting failure of concrete in the development direction of reinforcing bar in most specimens was observed. For development detail of headed reinforcing deformation bar, specimens with 1% $V_{Rsf}$ showed approximately 63%~119% increase in pullout strength compare to specimens with 0% $V_{Rsf}$. Test result shows that SFRC is more effective in increasing pullout strength for headed reinforcing bars than increasing pullout strength of straight bars.

TOPSIS-Based Decision-Making Model for Demolition Method Selection

  • Lee, Hyung Yong;Cho, Jae Ho;Son, Bo Sik;Chae, Myung Jin;Lim, Nam Gi;Chun, Jae Youl
    • Architectural research
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    • 제23권4호
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    • pp.67-73
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    • 2021
  • An efficient demolition process requires the optimum method selection considering stability, economic feasibility, environment, and workability. In reality the construction cost and period are priority concerns, and safe construction methods are neglected. In addition, the choosing demolition method is often determined subjectively by experienced field engineers. This research paper presents a multi-criteria decision-making method using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to select the optimum demolition method. Three experienced demolition engineers' opinions were used to develop the TOPSIS model. The case study showed that the preferences of ten attribute measurements for demolition method selection. Authors suggested the most preferable demolition method for the case study project.

A FUNDAMENTAL STUDY ON IMPROVING PROCESS BY APPLYING CONSTRUCTION MANAGEMENT(CM) METHODS TO HOUSING RECONSTRUCTION PROJECTS

  • Kyunghwan Ahn;Keunwon Lee;Myungun Kim;Byungjoo Kang;Won Kwon;Jaeyoul Chun
    • 국제학술발표논문집
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    • The 3th International Conference on Construction Engineering and Project Management
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    • pp.1497-1502
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    • 2009
  • Due to the construction union's inefficient manner of carrying out their construction projects, lot's of conflicts and arguments among the union members are happening, so the proper model of reconstruction and process at each level of projects are also being recognized as an important part of the industry. So I would like to present an ideal process model of home reconstruction industry. Here below I'm presenting the benefits of this model when its applied properly. Through the study of information gained from the survey of residents, benefits such as AHP, analysis of SPSS, reduced construction time, budget cut, etc. will be produced

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Skeleton Model-Based Unsafe Behaviors Detection at a Construction Site Scaffold

  • Nguyen, Truong Linh;Tran, Si Van-Tien;Bao, Quy Lan;Lee, Doyeob;Oh, Myoungho;Park, Chansik
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.361-369
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    • 2022
  • Unsafe actions and behaviors of workers cause most accidents at construction sites. Nowadays, occupational safety is a top priority at construction sites. However, this problem often requires money and effort from investors or construction owners. Therefore, decreasing the accidents rates of workers and saving monitoring costs for contractors is necessary at construction sites. This study proposes an unsafe behavior detection method based on a skeleton model to classify three common unsafe behaviors on the scaffold: climbing, jumping, and running. First, the OpenPose method is used to obtain the workers' key points. Second, all skeleton datasets are aggregated from the temporary size. Third, the key point dataset becomes the input of the action classification model. The method is effective, with an accuracy rate of 89.6% precision and 90.5% recall of unsafe actions correctly detected in the experiment.

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