• Title/Summary/Keyword: architectural engineering

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IMPROVING DECISION SUPPORT PROCESS IN COOPERATIVE DESIGN FOR BUILDING PROJECT

  • Su-Kyung Cho;Chang-Hyun Shin;Jae-Youl Chun;Yoon-Ki Choi;Dong-Woo Shin
    • International conference on construction engineering and project management
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    • 2005.10a
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    • pp.1144-1149
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    • 2005
  • This paper presents how to establish the decision support model for the cooperative design in order to improve design coordination and optimize the building system. With this view, the paper presents the method that analyzes decision making participants of each building system on drawings. It also presents the combination evaluation method from the viewpoint of performance, cost and constructability to improve the decision making process in cooperative design.

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Construction performance assessment framework by means of construction simulation for earthwork operations

  • Kim, Yujin;Noh, Jaeyun;Ko, Yongho;Lee, Jaewoo;Han, Seungwoo
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.1194-1201
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    • 2022
  • The existing literature has witnessed the importance of productivity assessment and deducing factors affecting it. However, yet many models have shown limitations in practical applications in actual construction sites for process planning due to uncertainty and lack of data. This research presents a productivity assessment and database generation framework using simulation and compares the results with RSMeans to derive appropriate equipment combinations alternatives for earthwork operations. Data of 15 different conditions was collected from 5 different construction sites. Prediction accuracy above 90% were achieved for the simulation models with average error rate of 7.4%. The construction productivity assessment framework presented in this study is expected to be highly applicable to operation planning for earthwork operations.

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Human Pose-based Labor Productivity Measurement Model

  • Lee, Byoungmin;Yoon, Sebeen;Jo, Soun;Kim, Taehoon;Ock, Jongho
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.839-846
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    • 2022
  • Traditionally, the construction industry has shown low labor productivity and productivity growth. To improve labor productivity, it must first be accurately measured. The existing method uses work-sampling techniques through observation of workers' activities at certain time intervals on site. However, a disadvantage of this method is that the results may differ depending on the observer's judgment and may be inaccurate in the case of a large number of missed scenarios. Therefore, this study proposes a model to automate labor productivity measurement by monitoring workers' actions using a deep learning-based pose estimation method. The results are expected to contribute to productivity improvement on construction sites.

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A comparison of three multi-objective evolutionary algorithms for optimal building design

  • Hong, Taehoon;Lee, Myeonghwi;Kim, Jimin;Koo, Choongwan;Jeong, Jaemin
    • International conference on construction engineering and project management
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    • 2015.10a
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    • pp.656-657
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    • 2015
  • Recently, Multi-Objective Optimization of design elements is an important issue in building design. Design variables that considering the specificities of the different environments should use the appropriate algorithm on optimization process. The purpose of this study is to compare and analyze the optimal solution using three evolutionary algorithms and energy modeling simulation. This paper consists of three steps: i)Developing three evolutionary algorithm model for optimization of design elements ; ii) Conducting Multi-Objective Optimization based on the developed model ; iii) Conducting comparative analysis of the optimal solution from each of the algorithms. Including Non-dominated Sorted Genetic Algorithm (NSGA-II), Multi-Objective Particle Swarm Optimization (MOPSO) and Random Search were used for optimization. Each algorithm showed similar range of result data. However, the execution speed of the optimization using the algorithm was shown a difference. NSGA-II showed the fastest execution speed. Moreover, the most optimal solution distribution is derived from NSGA-II.

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A PROFIRABILITY MODEL BASED ON PRIMARY FACTOR ANALYSIS IN THE EARLY PHASE OF HOUSING REDEVELOPMENT PROJECTS

  • Kyeong-Hwan Ahn;U-Yeong Gim;Jong-Sik Lee;Won Kwon;Jae-Youl Chun
    • International conference on construction engineering and project management
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    • 2013.01a
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    • pp.497-501
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    • 2013
  • An important decision-making element for the success of housing redevelopment projects is a prediction of the profitability of redevelopment. Risk factors influencing profitability were deduced through a review of the literature about profitability and a risk analysis developed by a survey of maintenance projects. In addition, a profitability prediction depending on the analysis of risk factors is necessary to judge the business feasibility of a project in the planning stages. A profitability prediction model of management and disposal method, which is calculated by proportional rate and which helps estimate contributions to profitability, is proposed to prevent difficulties in business development. The proposed model has the potential to prevent interruptions, reduce the length of projects, generate cost savings, and enable rational decision-making during the project period by allowing a judgment of profitability at the planning stage.

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DEVELOPMENT OF KNOWLEDGE BASED SELECTION PROCESS FOR FINISHING MATERIALS AT BUILDING DESIGN PHASE

  • Su-Ho Yun;Hyun-Soo Park;Gyu-Tae Noh;Hye-Rin Lee;Kyo-Jin Koo
    • International conference on construction engineering and project management
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    • 2011.02a
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    • pp.209-212
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    • 2011
  • Selection of finishing materials in the design stage is an important management factor in terms of use safety and satisfaction, and work cost and process. However, selection of materials in the design stage is usually conducted without related guidelines or a set process, but depends on the experience of the architect or advice of materials company employees. Therefore, the aim of this study was to develop a finishing materials selection process that can be used by a architect. Materials selection related rules collected through interview with experts and five office building cases were used as knowledge. In addition, another aim of the study was to propose a prototype system interface for use in the field.

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Validity Evaluation of Scale Model Experiments in Architectural Daylighting Performance (자연채광 성능평가에 있어서 축소모형실험 방법론의 유용성 검증에 관한 연구)

  • Kim, J.T.;Chung, Y.G.;Jeong, I.Y.;Hwang, M.K.
    • Journal of the Korean Solar Energy Society
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    • v.22 no.2
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    • pp.61-69
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    • 2002
  • Daylighting is a powerful vehicle of architectural expression and provides buildings a living quality due to constantly changing properties in intensity and color. As an environmental system, daylighting should be subjected to the same level of rigorous analysis and review that any environmental system receives. For example, increasing cooling loads and causing visual displeasure are easily occurred owing to the excessive sunlight through windows. Therefore, daylighting performance attributes and physical characteristics must be described qualitatively and quantitatively in early design process. In various architectural daylighting performance evaluation methods, the scale model experiment can be applied due to it's simplicity and usefulness. So, this study aims to evaluate the validation of scale model experiments in architectural daylighting performance. For the purpose, two scale model experiments under clear sky are conducted. And, the validation of the experiments are evaluated by computer simulations.

Static finite element analysis of architectural glass curtain walls under in-plane loads and corresponding full-scale test

  • Memari, A.M.;Shirazi, A.;Kremer, P.A.
    • Structural Engineering and Mechanics
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    • v.25 no.4
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    • pp.365-382
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    • 2007
  • A pilot study has been conducted to guide the development of a finite element modeling formulation for the analysis of architectural glass curtain walls under in-plane lateral load simulating earthquake effects. This pilot study is one aspect of ongoing efforts to develop a general prediction model for glass cracking and glass fallout for architectural glass storefront and curtain wall systems during seismic loading. For this study, the ANSYS finite element analysis program was used to develop a model and obtain the stress distribution within an architectural glass panel after presumed seismic movements cause glass-to-frame contact. The analysis was limited to static loading of a dry-glazed glass curtain wall panel. A mock-up of the glass curtain wall considered in the analysis with strain gages mounted at select locations on the glass and the aluminum framing was subjected to static loading. A comparison is made between the finite element analysis predicted strain and the experimentally measured strain at each strain gage location.

Estimation of Compressive Strength of Reinforced Concrete Structure Using Impact Testing Method and Rebound Hardness Method

  • Hong, Seonguk;Kim, Seunghun;Lee, Yongtaeg;Jeong, Jaewon;Lee, Changyong;Park, Chanwoo
    • Architectural research
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    • v.20 no.4
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    • pp.137-145
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    • 2018
  • The nondestructive test is widely used in the field of diagnosis and maintenance to evaluate the degree of damaging of structures caused by aging, and the demand for this test method is expected to continue increasing. However, there is a lack of standards related to the nondestructive test, and South Korea is relying heavily on developed nations for original technologies related to diagnosis. It is an urgent task to establish a nondestructive test method appropriate for the circumstance of South Korea. The purpose of this study is to compare and analyze estimated error of compressive strength in single-story structures comprised of vertical and horizontal reinforced concrete members using the impact testing method and rebound hardness method, which are nondestructive test methods, and to review on-site applicability of these methods. Based on compressive strength of the structures estimated, overall mean error was 21.2% for the impact testing method and 15.6% for the rebound hardness method. The necessity of a reliable diagnostic method based on compound nondestructive test methods to increase accuracy of estimation was confirmed.

Study on the Analysis of Domestic Construction Management Orders

  • Park, Jongsoon;Lee, Keunwon;Ann, Kyunghwan;Shin, Changhyun;Cho, Jaeho;Chun, Jaeyoul
    • International conference on construction engineering and project management
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    • 2015.10a
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    • pp.387-391
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    • 2015
  • Currently, there is insufficient research on the construction management performance since the CM system was introduced in Korea. For successful completion of construction projects, active use of construction mangers on projects is necessary by introducing construction management to the projects. In view of this, this study analyzed the annual CM performance from 1996 to 2013 but for the past 5 years from 2009 to 2013, a detailed analysis was carried out. For different sectors, CM performances were divided into public and private sectors, for project types, construction, civil and others, for project phases, pre-design, design, construction and post-construction phases, for contract types, sole and joint contract types, for project scale, the amount of the projects was taken into consideration and they were divided into large, medium and small scales and for the types of projects, they were divided into, shops, department stores, shopping centers, hospitals, government buildings, hotels, accommodation facilities, factories, buildings for workshops, office buildings, stadiums, playgrounds, schools and other construction types and all the data divided into such categories was analyzed. The results in this study can be used as a basic reference for studies in analysing construction management performances.

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