• 제목/요약/키워드: Building Component

검색결과 641건 처리시간 0.035초

Quantity Surveyors' Perception of Cost Impact Factors in Hong Kong Civil Engineering Projects

  • Chiu, Wai Yee Betty;Lau, Hat Lan Ellen
    • Journal of Construction Engineering and Project Management
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    • 제5권3호
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    • pp.1-9
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    • 2015
  • Project cost is an important concern in any construction project. Although there has been a lot of studies on factors affecting the cost of construction projects, there seems no consensus as what cost factors have direct influence on the cost of civil engineering projects. This study therefore aims to bridge the current knowledge gap by examining quantity surveyors' perception of the factor structure among nineteen costing attributes identified based on literature review. Questionnaire was used to elicit responses from quantity surveyors working in the Hong Kong construction industry. Principal component analysis is conducted to extract the factor structure of the cost attributes and the attributes are grouped into three factor components, namely the contract management factor, the project management factor and the monetary value factor. Understanding these cost impact factors could be crucial in managing civil engineering projects, since it allows the project stakeholders and quantity surveyors to take precautionary steps to identify the cost management problems and areas for improvement and could even help to avoid cost deviations in engineering projects.

고 선량율 감마선 조사에 따른 렌즈의 열화 (A CCD Camera Lens Degradation Caused by High Dose-Rate Gamma Irradiation)

  • 조재완;이준구;허섭;구인수;홍석붕
    • 전기학회논문지
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    • 제58권7호
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    • pp.1450-1455
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    • 2009
  • Assumed that an IPTV camera system is to be used as an ad-hoc sensor for the surveillance and diagnostics of safety-critical equipments installed in the in-containment building of the nuclear power plant, an major problem is the presence of high dose-rate gamma irradiation fields inside the one. In order to uses an IPTV camera in such intense gamma radiation environment of the in-containment building, the radiation-weakened devices including a CCD imaging sensor, FPGA, ASIC and microprocessors are to be properly shielded from high dose-rate gamma radiation using the high-density material, lead or tungsten. But the passive elements such as mirror, lens and window, which are placed in the optical path of the CCD imaging sensor, are exposed to a high dose-rate gamma ray source directly. So, the gamma-ray irradiation characteristics of the passive elements, is needed to test. A CCD camera lens, made of glass material, have been gamma irradiated at the dose rate of 4.2 kGy/h during an hour up to a total dose of 4 kGy. The radiation induced color-center in the glass lens is observed. The degradation performance of the gamma irradiated lens is explained using an color component analysis.

PCA-based neuro-fuzzy model for system identification of smart structures

  • Mohammadzadeh, Soroush;Kim, Yeesock;Ahn, Jaehun
    • Smart Structures and Systems
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    • 제15권4호
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    • pp.1139-1158
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    • 2015
  • This paper proposes an efficient system identification method for modeling nonlinear behavior of civil structures. This method is developed by integrating three different methodologies: principal component analysis (PCA), artificial neural networks, and fuzzy logic theory, hence named PANFIS (PCA-based adaptive neuro-fuzzy inference system). To evaluate this model, a 3-story building equipped with a magnetorheological (MR) damper subjected to a variety of earthquakes is investigated. To train the input-output function of the PANFIS model, an artificial earthquake is generated that contains a variety of characteristics of recorded earthquakes. The trained model is also validated using the1940 El-Centro, Kobe, Northridge, and Hachinohe earthquakes. The adaptive neuro-fuzzy inference system (ANFIS) is used as a baseline. It is demonstrated from the training and validation processes that the proposed PANFIS model is effective in modeling complex behavior of the smart building. It is also shown that the proposed PANFIS produces similar performance with the benchmark ANFIS model with significant reduction of computational loads.

Daylight Factor Method를 이용한 채광창의 설계와 주광율의 직접조도분에 의한 채광창의 평가 (Design of Daylighting Aperture Using Daylight Factor Method and its Evaluation by Distribution of Sky Component)

  • 지철근;권영혜
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1988년도 추계학술대회 논문집 학회본부
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    • pp.210-213
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    • 1988
  • A new and accurate expression to derive a window area is presented with a sequence for daylighting design using Daylight Factor Method process not in its classical point--by-point method but in lumen method as in artificial lighting design process to consider daylight in the early stage of a building design process. Accepting CIE Overcast Sky as the worst state with the lowest sky luminance, a user of a room can have more available daylight in his or her room. In the design process uniformity is checked to ensure reasonably even daylighting by comparing the depth of the room with the computed limiting depth. After these steps the shape and position of window is altered, of which the Sky Component of Daylight Factor under an Overcast Sky, SCo, is investigated and computed in Composite Simpson Multiple Integral so that a building designer or an analyst can choose the best shape and location that satisfies his/her taste and purpose of the room.

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외피 친환경 성능평가 II: 광선반, RetroLux (Performance Assessment of Building Envelopes II: LightShlef, RetroLux)

  • 김덕우;박철수
    • 한국태양에너지학회:학술대회논문집
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    • 한국태양에너지학회 2009년도 춘계학술발표대회 논문집
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    • pp.83-90
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    • 2009
  • As a series of 'Performance Assessment of Building Envelopes I: Double Skin Facade', three types (interior, exterior, mixed (int.&ext.)) of lightshelves and RetroLux were examined in terms of $CO_2$ emissions. It is shown that the exterior lightshelf could achieve the most energy savings (9.6-38.7%) in general office buildings due to blocking solar radiation before entering the indoor space. However, the interior lightshelf is the worst (1.4-5.2%) among three of them. The RetroLux has two components: (1) sun-reflector (first louver component), (2) light shelf for improving daylight induction (second louver component). Due to these two components, solar radiation from windows is filtered depending on seasonal variation (solar altitude). Therefore, the RetroLux can reduce 18.0-27.9% of annual energy consumption (both cooling and heating), and $552-3,290Won/m^2{\cdot}yr$ of operation cost is saved.

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내부발열의 확률적 성상을 고려한 슬래브축냉의 최적제어 (A Study on Optimal Control of Slab Cooling Storage Considering Stochastic Properties of Internal Heat Generation)

  • 정재훈
    • 설비공학논문집
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    • 제27권6호
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    • pp.313-320
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    • 2015
  • In this paper, a method to obtain the probability distribution of room temperature and cooling load is presented, when the internal heat generation is applied to the system as a disturbance in the air conditioning system with slab cooling storage. The probability distribution of room temperature and the cooling load due to the disturbance were examined in one room of an office building. When considering only the electric power consumption as a probability component, it was found that the effect on room temperature and cooling load is small, because the probability component of the measured electric power consumption in the building is small. On the other hand, when considering the stochastic fluctuations of electric power consumption together with the heat generated by human bodies, the mean value of the cooling load was about 2,300 W and the ratio of the standard deviations was 19% (10 o'clock in second day). It was revealed that the stochastic effects of internal heat generation acting on the air conditioning system with slab cooling storage are not small.

QFD를 이용한 철골 조립 자동화 시스템의 부재 디자인 개발 프로세스 연구 (A Study on Component Design Process using QFD for Automated Steel Fabrication System)

  • 진일권;신윤석;이웅균;유위성;조훈희;강경인
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2008년도 추계 학술논문 발표대회
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    • pp.213-218
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    • 2008
  • Recently automatic construction system is attended in construction domains because of the increase of aged workers and the shortage of the experienced. The research level of automatic construction system in Korea will soon attain to the stage of full automation like Japan, which is the highest level in the world. However, in the fully automated level, it is difficult for the automatic system to operate flexibly like the human in various work condition. In the result, the higher the level of automation in the system is, the less efficient the automatic system work in the site. So, it's necessary the development material design to compensate for the flexibility shortage of the system. Therefore, this study proposes the development process to material design suitable for automatic construction system using QFD technique.

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콘크리트 내구성 증진을 위한 3성분계 결합재 및 수축저감제의 배합특성 (Mixing Characters for enhancing of durability of the concrete by utilizing 3 component gel contained binder and shrinkage reducing agent)

  • 김대건;최상환;문경식;조만기;한민철;한천구
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2014년도 춘계 학술논문 발표대회
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    • pp.142-143
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    • 2014
  • In this study, as to enhance the efficiency and workability, binder contained 3 types of gels have been used to replacement the OPC. Fundamental properties and length change of the concrete have been tested to evaluate the effect of different binders. The following results could be made as the conclusion. When the binder contained 3 types of gels used, the flowability increased, whereas the air content decreased. There showed some different air content when the component of binder changed but the difference was consider as limit. For the strength properties, with the using of binder contained 3 types of gels increased the strength. Specimen of FA20SF5 showed the better strength and lower length change of drying shrinkage than other specimens.

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건설자재의 적정 리드타임 산정에 관한 연구 (A Study on Optimal Lead Time Selection Measures of the Construction Materials)

  • 이상범
    • 한국건축시공학회지
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    • 제4권1호
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    • pp.105-110
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    • 2004
  • Resource procurement is an important management area because cost of resource covers 40% of total construction project cost and resource delivery has direct relationship with project performance. Integration of cost provides various potentials for effective and efficient project control. This study investigates the usefulness of time in resource procurement management focused on materials. These days, construction projects have characterized manufacture because of industrialization and component. Therefore, application of systematic resource planning has been requested in the construction. There are many companies conducting procurement of resource on the web by applying MRP, ERP etc. in the construction. However, in applying them in the construction yet, there is obstruction. MRP has the character doing its function under accurate cost prediction of resource. But prediction of resource is difficult in industry mechanism of the construction. If accurate cost prediction of resource is possible in the construction, it will be expected to reduce cost of procurement of resource substantially by applying successful resource planning model in the manufacture. On the basis of recent current, the purpose of study is to present procurement of resource system that period observance of construction and minimization of stock is possible by reflecting accurate lead-time to apply proactive thought to be able to cope with alteration of construction schedule efficiently in analyzing resource planning of the construction site.

Automatic assessment of post-earthquake buildings based on multi-task deep learning with auxiliary tasks

  • Zhihang Li;Huamei Zhu;Mengqi Huang;Pengxuan Ji;Hongyu Huang;Qianbing Zhang
    • Smart Structures and Systems
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    • 제31권4호
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    • pp.383-392
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    • 2023
  • Post-earthquake building condition assessment is crucial for subsequent rescue and remediation and can be automated by emerging computer vision and deep learning technologies. This study is based on an endeavour for the 2nd International Competition of Structural Health Monitoring (IC-SHM 2021). The task package includes five image segmentation objectives - defects (crack/spall/rebar exposure), structural component, and damage state. The structural component and damage state tasks are identified as the priority that can form actionable decisions. A multi-task Convolutional Neural Network (CNN) is proposed to conduct the two major tasks simultaneously. The rest 3 sub-tasks (spall/crack/rebar exposure) were incorporated as auxiliary tasks. By synchronously learning defect information (spall/crack/rebar exposure), the multi-task CNN model outperforms the counterpart single-task models in recognizing structural components and estimating damage states. Particularly, the pixel-level damage state estimation witnesses a mIoU (mean intersection over union) improvement from 0.5855 to 0.6374. For the defect detection tasks, rebar exposure is omitted due to the extremely biased sample distribution. The segmentations of crack and spall are automated by single-task U-Net but with extra efforts to resample the provided data. The segmentation of small objects (spall and crack) benefits from the resampling method, with a substantial IoU increment of nearly 10%.