• 제목/요약/키워드: Total Design

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Algorithm-Aided BIM 기반 원전 3차원 설계기준 관리시스템 개발 (Development of AAB (Algorithm-Aided BIM) Based 3D Design Bases Management System in Nuclear Power Plant)

  • 신재섭
    • 한국건설관리학회논문집
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    • 제20권2호
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    • pp.28-36
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    • 2019
  • 국내 신형원전 APR1400 (Advanced Power Reactor 1400MW)은 총 사업비 8조 6천억원, 사업기간 10년 이상이 소요되는 대형 국가기반시설이며, 60년 이상 운영되어 국가경제 및 국민의 안전에 밀접한 영향을 끼친다. 또한 총 사업부지 217만$m^2$내 20개 이상의건물 및 구조물로 구성되어 있으며, 건설에 필요한 전체도면은 약 6만5천장에 이른다. 이러한 대형시설의 설계를 위해서는 설계의도를 명확히 규정하여 일관성 있게 설계가 진행될 수 있는 일종의 가이드라인 역할을 하는 설계기준이 필수적이다. 이를 위해 설계기준(Design Bases)을 반영한 설계기준문서(Design Bases Document 또는 Drawing, DBD)를 작성하여, 설계 일관성 및 도면간의 일치성을 유지하고 있다. 하지만 설계기준은 원전 전체 설계에 큰 틀이 되는 중요한 개념임에도 불구하고 각 분야 전문가들에 의해 문서기반(2차원) 및 파편적으로 관리되다보니 후속설계에 정확히 반영되는데 한계가 있었다. 따라서 본 연구에서 시설정보 활용성을 높이기 위해 3차원 정보모델인 BIM (Building Information Model)과 Algorithm-aided BIM을 활용하여, 원전의 최소단위 공간인 실(Room)을 기반으로 한 3차원 설계기준 관리하는 시스템을 개발하였다. 이를 위해 설계기준정보층(DBIL)개념을 도입하였으며, 시뮬레이션을 통해 각 DBIL별 설계기준 속성 및 설계요소 데이터가 연동됨을 확인하였으며, DBIL에 연계되는 벽, 바닥, 문, 관통부 등을 정상적으로 추출하였다.

밀싹으로부터 플라보노이드성분의 초음파 추출 : 중심합성계획모델을 이용한 최적화 (Ultrasound-assisted Extraction of Total Flavonoids from Wheat Sprout: Optimization Using Central Composite Design Method)

  • 이승범;왕효정;홍인권
    • 공업화학
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    • 제29권6호
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    • pp.663-669
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    • 2018
  • 초음파 추출공정을 이용하여 밀싹으로부터 유효성분을 추출하고, 중심합성계획모델을 이용하여 추출공정을 최적화하였다. 중심합성계획모델의 반응치로는 추출수율과 플라보노이드성분 함량을 설정하고, 독립변수인 추출시간, 주정/초순수 부피비, 초음파 조사세기에 따른 주효과도와 교호효과도를 해석하였다. 추출수율의 경우 주정/초순수의 부피비와 초음파 조사세기가 상대적으로 큰 영향을 미쳤으며, 플라보노이드성분 함량의 경우에는 추출시간의 영향이 가장 크게 나타났다. 추출수율과 플라보노이드성분 함량을 모두 고려한 결과 최적조건은 추출시간(17.00 min), 주정/초순수의 부피비(50.25 vol%), 초음파 조사세기(551.70 W)이며, 이때 예측 추출수율은 28.43 wt%, 예측 플라보노이드성분 함량은 $29.99{\mu}g\;QE/mL\;dw$을 얻을 수 있었다. 실험을 통해 유효성분 추출수율(28.73 wt%), 플라보노이드성분 함량 ($29.65{\mu}g\;QE/mL\;dw$)의 실험값을 얻을 수 있었으며, 이를 예측값과 비교했을 때 오차율은 각각 1.05, 1.13%이다.

감초폴리페놀 추출효율에 있어 열처리, 에탄올 농도, 추출시간 및 용매비율이 미치는 영향 탐색 (Effect of Heat Treatment, Ethanol Content, Extraction Time and Ratio of Solvent on the Efficiency of Polyphenol Extraction from Licorice Root (Glycyrrhizauralensis))

  • 채정일;류경선;서강석;김경훈;오영균;장선식;최창원;최낙진
    • 한국유기농업학회지
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    • 제20권3호
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    • pp.399-409
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    • 2012
  • Effects of pretreatment and extraction conditions on total polyphenol yield from licorice root were investigated using statistical method. For pretreatment, heat treatment at $121^{\circ}C$ for 10 min was applied. Licorice root content in solvent (10, 20, and 30%) ethanol concentration (20, 40, and 60%) and reaction time (1, 2, and 3 h) were used as variables for extraction conditions. Two experiments, with heat treated and no treated licorice, were prepared with same experimental design. Box behnken design was employed and produced a total of 15 trials. Total polyphenol yield from licorice root was not affected by heat treatment. Among variables, licorice content in solvent showed most significant effect regardless of other variables (p<0.05). Finally, optimum conditions for the extraction of total polyphenol from licorice root was detected as following: 10% of licorice in solvent, 52% ethanol as solvent, 2 h of reaction time and non-heat treatment and the extraction yield from optimized condition was 17.6 mg/g licorice root.

승용차 전용 조립식 고가도로의 최적설계 (Optimal Design of Prefabricated Passenger Car-overpass Structures)

  • 조성배;김영우;신영석
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 2004년도 가을 학술발표회 논문집
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    • pp.163-170
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    • 2004
  • The main objective of this research is to determine the optimal sections of infrastructure (the pier and foundation) for orthotropic steel decks which is a part of prefabricated passenger car overpasses. Since the bridge to be designed allows only passenger cars, design loads are determined according to this condition. The total volume of the infrastructure is formulated as the objective function and the design constraints are based on the 'Korean Bridge Design Code' and 'Design Manual of Steel Framed Pier'. The programs used in this research are MATLAB 6.5 and MIDAS CIVIL.

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Isolated Musculocutaneous Nerve Palsy after the Reverse Total Shoulder Arthroplasty

  • Kim, Sung-Guk;Choi, Chang-Hyuk
    • Clinics in Shoulder and Elbow
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    • 제19권2호
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    • pp.101-104
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    • 2016
  • Reverse total shoulder arthroplasty has been performed with promising results in rotator cuff tear arthropathy. However, the global complication of the reverse total shoulder arthroplasty is relatively higher than that of the conventional total shoulder arthroplasty. Neurologic complications after reverse total shoulder arthroplasty are rare but there are sometimes remaining sequelae. The cause of the neurologic complication is multifactorial, including arm traction, position and the design of the implant. Most cases of neurologic palsy following reverse total shoulder arthroplasty occur in the axillary nerve and the radial nerve. The authors report on a case of a 71-year-old man with isolated musculocutaneous nerve palsy after reveres total shoulder arthroplasty with related literature.

인더스트리얼 디자인에 있어서의 생산성 개념과 측정방법 (Productivity Concept and Measuaring Mathod of Industrial Design)

  • 이수봉
    • 디자인학연구
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    • 제14권
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    • pp.181-191
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    • 1996
  • $\ulcorner$ID생산성$\lrcorner$이란 $\ulcorner$인더스트리얼 디자인$\lrcorner$(Industrial Design; 이하 ID로 약칭)과 $\ulcorner$생산성$\lrcorner$(Productivity)을 결합한 용어로서 그 개념은 상품의 디자인개발에 투입된 모든 디자인자원 및 요소의 효율적인 이용도를 나타내는 지표로 설명될 수 있다. $\ulcorner$ID생산성$\lrcorner$은객관 적인 방법과 주관적인 방법 두 가지 측면에서 측정 할 수 있다. 전자는 투입과 산출의 관계를 가능한 객관적, 정량적으로 분석한다는 방식이며, 후자는 ID의 방법 자체가 극히 주관적이라는 특성을 전제로 하여 $\ulcorner$ID생산성$\lrcorner$을 가능한 한 정상적으로 분석하는 방법이다. 전자는 디자인 시간, 디자이너 수 , 경비를 공통의 투입요소로 사용하여 개인별.요소별.디자인문문 전체의 디자인 생산성 측정 그 자체가 불가능하며 신뢰성이 없는 단점이 있다. 후자는 Good Design을 산출요소로 사용하여 개인 및 디자인 부문 전체의 합리적 디자인 생산성 측정이 가능한 반면, 주관적 평가를 위한 설문조사나 분석방법 절차 등이 번거러운 단점이 있다. 그러나 이 방법은 전자보다는 매우 합리적이며 신뢰도가 높다는 이점이 있다.

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Application of Big Data and Machine-learning (ML) Technology to Mitigate Contractor's Design Risks for Engineering, Procurement, and Construction (EPC) Projects

  • Choi, Seong-Jun;Choi, So-Won;Park, Min-Ji;Lee, Eul-Bum
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.823-830
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    • 2022
  • The risk of project execution increases due to the enlargement and complexity of Engineering, Procurement, and Construction (EPC) plant projects. In the fourth industrial revolution era, there is an increasing need to utilize a large amount of data generated during project execution. The design is a key element for the success of the EPC plant project. Although the design cost is about 5% of the total EPC project cost, it is a critical process that affects the entire subsequent process, such as construction, installation, and operation & maintenance (O&M). This study aims to develop a system using machine-learning (ML) techniques to predict risks and support decision-making based on big data generated in an EPC project's design and construction stages. As a result, three main modules were developed: (M1) the design cost estimation module, (M2) the design error check module, and (M3) the change order forecasting module. M1 estimated design cost based on project data such as contract amount, construction period, total design cost, and man-hour (M/H). M2 and M3 are applications for predicting the severity of schedule delay and cost over-run due to design errors and change orders through unstructured text data extracted from engineering documents. A validation test was performed through a case study to verify the model applied to each module. It is expected to improve the risk response capability of EPC contractors in the design and construction stage through this study.

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수질오염총량관리 계획수립의 개선방안에 관한 연구 (A Study on the Improvement Scheme of the Total Water Pollution Load Management Plan)

  • 김영일;이상진
    • 한국물환경학회지
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    • 제22권6호
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    • pp.977-981
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    • 2006
  • In order to improve water quality in drinking water sources, Ministry of Environment (MOE) was implemented total water pollution load management (TWPLM) in all the major river basins. From the experience of the application of TWPLM, we could find some problems relating the target watershed, standard operating procedure (SOP) of establishment and implementation plan, water quality and flow rate, design flow, water quality model, margin of safety (MOS), and estimation of wasteload were found. The authors were reviewed ongoing TWPLM and presented the improvement schemes for a successful TWPLM. For the application of these suggestions, further detailed studies should be done to implement TWPLM in the future.

열화가 Wiener process를 따르는 경우의 비용을 고려한 가속열화시험 계획 (Optimal Design of Accelerated Degradation Tests under the Constraint of Total Experimental Cost in the Case that the Degradation Characteristic Follows a Wiener Process)

  • 임헌상
    • 품질경영학회지
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    • 제40권2호
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    • pp.117-125
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    • 2012
  • For the highly reliable products, an accelerated degradation test (ADT) is a useful tool which has been employed in industry to obtain reliability-related information within an affordable amount of time and cost. In an ADT, as all other reliability tests, it is important to carefully design the ADT beforehand to obtain estimates of the quantities of interest as precisely as possible. In this paper, optimal ADTs are developed assuming that the constant-stress loading method is employed and the degradation characteristic follows a Wiener process. Under the constraint that the total cost does not exceed a pre-specified budget, the stress levels, the number of test units allocated to each stress level and the number of measurement (termination time) are determined such that the asymptotic variance of the maximum likelihood estimator of the q-th quantile of the lifetime distribution at the use condition is minimized.

NC 선반가공에서 공구 조정주기의 경제적 설계 (Economic Design of Tool Resetting Period in NC Machining)

  • 배문택;윤원영;목학수
    • 한국정밀공학회지
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    • 제15권6호
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    • pp.33-39
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    • 1998
  • This paper is related to economic design of tool-resetting period in NC machining. In NC lathe machining, the mean and variance of components dimension fluctuate in slow time and we should reset tool program to compensate the variation from the fluctuation. In this paper. we propose the procedure determining the optimal resetting period based on the total expected operating cost which consists of resetting cost and the quality cost related to dimension variation. As a case study, using experimental data about dimension changes of a lathe machining, we obtain the regression equations of mean and variance of the dimension fluctuation, total expected operating cost, and optimal resetting period.

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