• 제목/요약/키워드: Construction Techniques

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군의 전술적 자료기반 구축에 관한 연구 (A Study on the Tactical Databases of the Army)

  • 유복모;서정헌;조홍석
    • 대한공간정보학회지
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    • 제2권1호
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    • pp.107-119
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    • 1994
  • 현대전은 정보전쟁이라 일컫을 만큼 첨단무기를 운용하는 정보체계의 중요성이 부각되고 있다. 지형분석 기법은 전시에 매우 중요한 요소이기 때문에, 육군은 전산기에 기반을 둔 지형분석체계를 꾸준히 발달시켜 왔다. 본 논문에서는 여러 가지 지형자료를 중첩시켜 분석한 야지기동분석도를 제시하였고 이러한 분석을 통해서 평시 작계임무수행시 최적의 작전계획을 수립할 수 있는 지형정보의 자료기반구축 방법을 제시하였다

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모듈러 저층집합주거의 교차적층방식 설계 적용기술 연구 (A study on application techniques in design phase of applying a crossing stacking method of modular housing)

  • 전영훈;이영;김균태
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2014년도 추계 학술논문 발표대회
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    • pp.81-82
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    • 2014
  • Modular housing has many advantages such as economy, flexibility and reusability. The domestic modular housing of a continuous stacking method has been built in military facilities, and dormitories. However, there is a limit to present diversity of low-rise multi-family housing. A cross stacking method is a way to pursue diversity of that but there is a difficulty to apply it owe to lack of cases and related technologies. Therefore, the purpose of this study is to suggest application techniques in design phase of applying the crossing stacking method in advance.

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건설공사의 위험도분석을 위한 확률적 위험도 평가 (Probabilistic Risk Assessment Techniques for the Risk Analysis of Construction Projects)

  • 조효남;임종권;박영빈
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 1997년도 봄 학술발표회 논문집
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    • pp.27-34
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    • 1997
  • In this paper, systematic and comprehensive approaches are suggested for the application of quantitative PRA techniques especially for those risk events that cannot be easily evaluated quantitatively In addition, dominant risk events are identified based on their occurrence frequency assessed by both actual survey of construction site conditions and the statistical data related with the probable accidents. Practical FTA(Fault Tree Analysis) and ETA(Event Tree Analysis) models are used for the assessment of the identified risks. When the risk events are lack of statistical data, appropriate Bayesian models incorporating engineering judgement and test results are also introduced in this paper. Moreover, a fuzzy probability technique is used for the quantitative risk assessment of those risk components which are difficult to evaluate quantitatively.

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데이터 마이닝 기법을 이용한 특별고압 파급고장 발생가능 고객 예측모델 구축 및 신뢰도 향상방안에 관한 연구 (A study on Reliability Enhancement Method and the Prediction Model Construction of Medium-Voltage Customers Causing Distribution Line Fault Using Data Mining Techniques)

  • 배성환;김자희;홍정식;임한승
    • 전기학회논문지
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    • 제58권10호
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    • pp.1869-1880
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    • 2009
  • Distribution line fault has been reduced gradually by the efforts on improving the quality of electrical materials and distribution system maintenance. However faults caused by medium voltage customers have been increased gradually even though we have done many efforts. The problem is that we don't know which customer will cause the fault. This paper presents the concept to find these customers using data mining techniques, which is based on accumulated fault records of medium voltage customers in the past. It also suggests the prediction model construction of medium voltage customers causing distribution line fault and methods to enhance the reliability of distribution system. We expect that we can effectively reduce faults resulted from medium voltage customers, which is 30% of total faults.

Adaptive management of excavation-induced ground movements

  • Finno, Richard J.
    • 한국지반공학회:학술대회논문집
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    • 한국지반공학회 2009년도 세계 도시지반공학 심포지엄
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    • pp.27-50
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    • 2009
  • This paper describes an adaptive management approach for predicting, monitoring, and controlling ground movements associated with excavations in urban areas. Successful use of monitoring data to update performance predictions of supported excavations depends equally on reasonable numerical simulations of performance, the type of monitoring data used as observations, and the optimization techniques used to minimize the difference between predictions and observed performance. This paper summarizes each of these factors and emphasizes their inter-dependence. Numerical considerations are described, including the initial stress and boundary conditions, the importance of reasonable representation of the construction process, and factors affecting the selection of the constitutive model. Monitoring data that can be used in conjunction with current numerical capabilities are discussed, including laser scanning and webcams for developing an accurate record of construction activities, and automated and remote instrumentations to measure movements. Self-updating numerical models that have been successfully used to compute anticipated ground movements, update predictions of field observations and to learn from field observations are summarized. Applications of these techniques from case studies are presented to illustrate the capabilities of this approach.

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Image analysis를 통한 다공성 시멘트 모르타르 복합체 내 공극량 산출 (An Analysis of the Air Void Volume Image Analysis of Porous Cement Mortar Composites)

  • 손다솜;이종구
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2021년도 봄 학술논문 발표대회
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    • pp.211-212
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    • 2021
  • This study was conducted to derive quantitative air void volume calculation techniques in various complexes with porosity. Calculation of voids in a complex is an essential factor in improving mechanical properties, and quantitative measurement techniques are needed because the environment is not constant to apply the currently used ASTM criteria. Using the analysis technique obtained through 2D image analysis, it is believed that meaningful results can be derived through Micro CT analysis results and cross-check later.

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고주파수분센서(FDR)를 활용한 콘크리트 단위수량 평가에 관한 실험적 연구 (An Experimental Study on the Evaluation of Concrete Unit-Water Content Using High Frequency Moisture Sensor (FDR))

  • 이승엽;양현민;이한승
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2021년도 가을 학술논문 발표대회
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    • pp.59-60
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    • 2021
  • The unit-water content has a major problem in concrete structures which leads to micro cracks on the concrete during drying time. Thus, the compressive strength and durability of the concrete structures are significantly reduced. Several techniques have been developed to measure the unit-water content in concrete structures such as heating drying, unit volume mass, and capacitance measurements. However, these techniques have problems in during measurement such as longer time, expensive and difficult in analysis of data. Frequency Domain Reflectivity (FDR) is one of the sensors which used to measure the water content. This method has several advantages including easy to measure, inexpensive, and capable of measuring moisture in real time. In this study, an attempt has been made to evaluate the unit-water content in concrete using the FDR sensor and interpret the data with deep learning method.

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경주 분황사 모전석탑 축조기법 기원에 관한 연구 (A Study on the Origin of Stone Pagoda Construction Techniques at Stone Brick Pagoda of Bunhwangsa Temple in Gyeongju)

  • 김인수
    • 건축역사연구
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    • 제33권3호
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    • pp.7-17
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    • 2024
  • Bunhwangsa Stone Brick Pagoda, constructed in 634, is Korea's oldest stone pagoda. As a prototype of the Silla Stone Pagoda, the pagoda was constructed using flagstones. Since it was constructed with flagstones, it has been known to be a pagoda that replicates the brick pagoda until now. The latest research suggests that it copies the India Stupa or the Stacked Stone Pagoda more than the Brick Pagoda. However, the Bunhwangsa stone brick pagoda has a significant difference in terms of construction technique and shape compared to Brick Pagodas, India Stupas, and Stacked Stone Pagodas. Therefore, it is worth paying attention to the stone building technique used in Silla. Through this study, I would like to clarify that the Bunhwangsa stone brick pagoda is a stone pagoda that creatively reflects the existing Silla stone building techniques such as stone fortresses and stone chamber tombs.

Collision Hazards Detection for Construction Workers Safety Using Equipment Sound Data

  • Elelu, Kehinde;Le, Tuyen;Le, Chau
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.736-743
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    • 2022
  • Construction workers experience a high rate of fatal incidents from mobile equipment in the industry. One of the major causes is the decline in the acoustic condition of workers due to the constant exposure to construction noise. Previous studies have proposed various ways in which audio sensing and machine learning techniques can be used to track equipment's movement on the construction site but not on the audibility of safety signals. This study develops a novel framework to help automate safety surveillance in the construction site. This is done by detecting the audio sound at a different signal-to-noise ratio of -10db, -5db, 0db, 5db, and 10db to notify the worker of imminent dangers of mobile equipment. The scope of this study is focused on developing a signal processing model to help improve the audible sense of mobile equipment for workers. This study includes three-phase: (a) collect audio data of construction equipment, (b) develop a novel audio-based machine learning model for automated detection of collision hazards to be integrated into intelligent hearing protection devices, and (c) conduct field experiments to investigate the system' efficiency and latency. The outcomes showed that the proposed model detects equipment correctly and can timely notify the workers of hazardous situations.

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AUTOMATED HAZARD IDENTIFICATION FRAMEWORK FOR THE PROACTIVE CONSIDERATION OF CONSTRUCTION SAFETY

  • JunHyuk Kwon;Byungil Kim;SangHyun Lee;Hyoungkwan Kim
    • 국제학술발표논문집
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    • The 5th International Conference on Construction Engineering and Project Management
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    • pp.60-65
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    • 2013
  • Introducing the concept of construction safety in the design/engineering phase can improve the efficiency and effectiveness of safety management on construction sites. In this sense, further improvements for safety can be made in the design/engineering phase through the development of (1) an automated hazard identification process that is little dependent on user knowledge, (2) an automated construction schedule generation to accommodate varying hazard information over time, and (3) a visual representation of the results that is easy to understand. In this paper, we formulate an automated hazard identification framework for construction safety by extracting hazard information from related regulations to eliminate human interventions, and by utilizing a visualization technique in order to enhance users' understanding on hazard information. First, the hazard information is automatically extracted from textual safety and health regulations (i.e., Occupational Safety Health Administration (OSHA) Standards) by using natural language processing (NLP) techniques without users' interpretations. Next, scheduling and sequencing of the construction activities are automatically generated with regard to the 3D building model. Then, the extracted hazard information is integrated into the geometry data of construction elements in the industry foundation class (IFC) building model using a conformity-checking algorithm within the open source 3D computer graphics software. Preliminary results demonstrate that this approach is advantageous in that it can be used in the design/engineering phases of construction without the manual interpretation of safety experts, facilitating the designers' and engineers' proactive consideration for improving safety management.

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