• Title/Summary/Keyword: 공법선정 모델

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수학적 모델로 이용한 질소$\cdot$인 처리 공정 설계

  • 안세영
    • Environmental engineer
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    • v.18 s.193
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    • pp.28-32
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    • 2002
  • $\cdot$폐수처리시설의 설계에서 컴퓨터 모델링을 사용하는 목적은 처리공정을 최적화 하기 위함이다. 기존의 하$\cdot$폐수처리장을 생물학적 질소$\cdot$인 제거 (이하 BNR) 시설로 개조하거나 신설 BNR 공정을 설계하려면 계획 시설에 대한 타당성 조사를 수행해야 하는데, 여러가지 처리공법을 분석하여 처리공정을 선정하고 선정된 공정의 성능과 운영방법, 그리고 시설비용 및 운영비용을

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A Study on the Sub-elements of the Top-down Construction Method Selection Model using Weighting Factor in Downtown Area (가중치 분석을 통한 도심지 Top-Down 공사에서의 공법요소 선정 모델 개발에 관한 연구)

  • Park, Chang-Wook;Moon, Seung-Yun;Yun, Seok-Heon
    • Journal of the Korea Institute of Building Construction
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    • v.8 no.4
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    • pp.61-69
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    • 2008
  • The size of the construction projects become huge and complex, and the depth of excavation for the underground structures become deeper. Also the working area is not enough for loading materials and temporary facilities. This is the most case of recent construction projects in downtown area. Top-down is the most useful method for this kind of construction projects. Top-down construction method consists of supporting method, retaining wall type, foundation type and construction direction such as up-down or up-up. construction managers have to select sub-elements for top-down construction method in planning phase. This study is to suggest the sub-elements selection model for the top-down construction method, and the case study is conducted for evaluating this model.

Study for Analysis of Hydraulic Characteristic of Close-Natural revetment technique (자연형 호안공법의 수리학적 특성 분석을 위한 기초 연구)

  • Han, Man-Shin;Choi, Gye-Woon;Kim, Woo-Jin
    • Proceedings of the Korea Water Resources Association Conference
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    • 2010.05a
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    • pp.704-708
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    • 2010
  • 하천에 있어서 저수호안의 수충부는 수리학적 안정성이 요구되는 부분이나 이에 대한 신뢰성있는 자료와 적정 공법의 선정 방안이 마련되어 있지 않고 있으며, 국내 자연형하천 조성을 위하여 하천하안에 적용된 공법들은 대부분 콘크리트블록, 발파석, 강화석, 전석, 잡석 등 견고한 재료를 활용한 공법이었다. 최근 하천의 생태환경 조성으로 인하여 식생에 의한 공법 개발이 활발하게 진행되고 있으나 이의 치수적인 평가는 진행되고 있지 않으며, 이들 각종 공법의 적용여부는 주로 소류력의 평가에 의한 것으로 하천의 생태적 환경보다는 치수적인 관점에서 적용되고 있다. 국내 생태하천의 경우 호안의 경사가 1:2~1:5정도로 매우 완만한 것이 보통이며, 급강하 하천이 아니기 때문에 설계유속은 2~3m/s 정도이다. 본 연구에서는 경사에 따른 호안의 안정성을 검증하기 위하여 3차원 모델인 Flow-3D를 이용하여 길이 20m, 폭 2m, 높이 1m의 개수로 장치를 구성하였으며, 호안의 조도변화에 따른 유량별 2차원 유속분포 및 Froude수를 산정하여 분석하였다.

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Study on Decision-Making Model to Select Optimal Strengthening Method (최적 보강공법 선정을 위한 의사결정모델에 관한 연구)

  • Sun, Jong-Wan;Park, Kyong-Hoon;Oh, Hong-Sub;Cho, Hyo-Nam
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.14 no.1
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    • pp.117-124
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    • 2010
  • Different to other social infrastructures, bridge elements or bridges can be damaged or collapsed and this may cause death toll and severe social and economical damage, bridges should be managed to maintain a safety level. Diverse strengthening methods is developed to improve a deteriorated bridge performance up to original design level. But rational decision-making process and methodologies to select a optimum strengthening method are absence yet in Korea. This paper therefore derived items and proposed methodologies for quantity estimate considering uncertainty to select a optimum strengthening method among conceptually designed alternatives. And also, to demonstrate the applicability and verification of the proposed approach, it was applied to select the optimum strengthening method for the deteriorated T-shape concrete girder bridge. The model and the procedure can greatly contribute to the uncertainty-oriented alternative selection.

Development of Fire-resistant Concrete using Fibre Cocktail (섬유혼입공법을 적용한 고내화 콘크리트의 개발)

  • Youm, Kwang-Soo;Jeon, Hyun-Kyu;Won, Cheol;Kim, Heung-Youl
    • Proceedings of the Korea Concrete Institute Conference
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    • 2008.11a
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    • pp.949-952
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    • 2008
  • 화재안전 신뢰성이 확보된 고강도 콘크리트 구조물의 시장 공급을 위하여 GS건설에서는 2005년 부터 고강도 콘크리트 구조물의 강도 영역별 폭렬 저감 및 거동 안전성 평가와 수치해석 방법을 통한 경제적인 설계방법를 최종 연구목표로 하여 현재까지 콘크리트 재료의 열적 특성 확보와 구조부재 화재 특성 연구를 수행해 왔다. 강도발현, 시공성, 내화성능과 경제성에 대한 분석을 해외연구 기관에 의뢰하여 섬유혼입공법을 선정한 후 이에 대한 재료의 물리적 특성과 역학적 특성 실험결과를 바탕으로 고강도 콘크리트 구조부재의 내화성능을 예측 분석할 수 있도록 비열 모델, 열전도율모델, 압축강도 모델, 탄성계수 모델을 구축하였다. 또한 기둥과 보에 대한 내화실험을 실시하여 내화성능을 평가하였으며, 이에 대한 열적 해석을 병행하여 진행하였다.

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Suggestion of Flexural Strengthening Ratio of NSM Strengthened Concrete Railroad Bridge based on Probability and Reliability (확률.신뢰도에 기초한 표면매립보강(NSM) 콘크리트 철도교의 휨보강비 산정)

  • Oh, Hong-Seob;Sim, Jong-Sung;Ju, Min-Kwan;Lee, Ki-Hong;Park, Ji-Soo
    • Proceedings of the Korea Concrete Institute Conference
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    • 2008.11a
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    • pp.121-124
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    • 2008
  • The purpose of this study is to evaluate the critical strengthening ratio of concrete railroad bridge strengthened with NSM using CFRP plate. The railroad bridge is usually under vibration and impact in service state. Therefore, it is important that the effective strengthening performance must be exhibited under the service loading is acted. To widely apply the NSM method for the concrete railroad bridge in field, it needs that reasonable strengthening parameter such as strengthening ratio has to be investigated and evaluated when the strengthening design is conducted. In this study, to suggest more reasonable strengthening ratio, material and geometrical uncertainty was considered and applied by Monte Carlo Simulation (MSC) technique. Lastly, the critical strengthening ratio of concrete railroad bridge strengthened with NSM using CFRP plate was evaluated by using the limit state function with the target reliability index.

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Development of roadheader performance prediction model and review of machine specification (로드헤더 장비사양 검토 및 굴착효율 예측 모델 개발)

  • Jae Hoon Jung;Ju Hyi Yim;Jae Won Lee;Han Byul Kang;Do Hoon Kim;Young Jin Shin
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.25 no.3
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    • pp.221-243
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    • 2023
  • The use of roadheaders has been increasing to mitigate the problems of noise and vibration during tunneling operations in urban area. Since lack of experience of roadheader for hard rock, the selection of appropriate machines and the evaluation of cutting rates have been challenging. Currently, empirical models developed overseas are commonly used to evaluate cutting rates, but their effectiveness has not been verified for domestic rocks. In this paper, a comprehensive literature review was conducted to assess the rock cutting force, cutterhead capacity, and cutting rate to select the appropriate machine and evaluate its performance. The cutterhead capacity was reviewed based on the literature results for the site. Furthermore, a new empirical model and simplified method for predicting cutting rates were proposed through data analysis in relation to operation time and rock strength, and compared with those of the conventional model from the manufacturer. The results show good agreement for high strength range upper 80 MPa of uniaxial compressive strength.

Development of Improvement Effect Prediction System of C.G.S Method based on Artificial Neural Network (인공신경망을 기반으로 한 C.G.S 공법의 개량효과 예측시스템 개발)

  • Kim, Jeonghoon;Hong, Jongouk;Byun, Yoseph;Jung, Euiyoup;Seo, Seokhyun;Chun, Byungsik
    • Journal of the Korean GEO-environmental Society
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    • v.14 no.9
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    • pp.31-37
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    • 2013
  • In this study installation diameter, interval, area replacement ratio and ground hardness of applicable ground in C.G.S method should be mastered through surrounding ground by conducting modeling. Optimum artificial neural network was selected through the study of the parameter of artificial neural network and prediction model was developed by the relationship with numerical analysis and artificial neural network. As this result, C.G.S pile settlement and ground settlement were found to be equal in terms of diameter, interval, area replacement ratio and ground hardness, presented in a single curve, which means that the behavior pattern of applied ground in C.G.S method was presented as some form, and based on such a result, learning the artificial neural network for 3D behavior was found to be possible. As the study results of artificial neural network internal factor, when using the number of neural in hidden layer 10, momentum constant 0.2 and learning rate 0.2, relationship between input and output was expressed properly. As a result of evaluating the ground behavior of C.G.S method which was applied to using such optimum structure of artificial neural network model, is that determination coefficient in case of C.G.S pile settlement was 0.8737, in case of ground settlement was 0.7339 and in case of ground heaving was 0.7212, sufficient reliability was known.

Construction Performance Evaluation of Steel Staircase Systems based on Construction Simulation CYCLONE Techniques (건설시뮬레이션 사이클론 기법을 활용한 시스템 철골계단 공법의 현장적용성 평가)

  • Lee, Jeong-Hun;Lee, Kyung-Suk;Kim, Hyun-Mi;Kim, Young-Suk;Han, Seung-Woo
    • Journal of the Korea Institute of Building Construction
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    • v.10 no.6
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    • pp.19-26
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    • 2010
  • Advanced construction technologies have been rarely applied to practical construction operations on jobsites due to a lack of quantified evaluation data of the performance of such technologies. The basic objective of this study is to suggest a feasible way for the evaluation of the performance of new technologies based on construction simulation techniques, which have been frequently used in academic research for productivity estimation. Steel staircase systems were selected as the new technology to be investigated. The simulation was implemented in various ways, such as one staircase to six staircases on a floor. The simulation results provided in this study suggest that planners are able to make a fundamental decision on the use of targeted new technology with the estimated performance data (productivity and unit costs). These findings also indicate that a simulation technique could be one of the methods appropriate for use as a planner's decision-making tool.

Optimal Surfactant Screening by Model Application for Soil Washing Process (오염토양 세척공정에서 모델링을 통한 최적 계면활성제의 선별)

  • 우승한;박종문
    • Journal of Soil and Groundwater Environment
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    • v.8 no.3
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    • pp.61-73
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    • 2003
  • A model describing the distribution of contaminants in soil/water systems for the application of soil-washing technology using surfactant was developed. The model simulation was conducted for screening the best surfactant, evaluating the effect of water dose, and optimizing soil-washing methodology. Naphthalene, phenanthrene, and pyrene as target compounds and Triton X-l00, Tergitol NP-10, Igepal CA-720, and Brij 30 as surfactants were used in the model simulations. The washing efficiency was not greatly enhanced by increasing water dose with the same total surfactant dose. The approach of successive washings was more efficient than a single washing with the same amount of water and surfactant. Equal allotment of the amount of water and surfactant was the best condition for the successive washings. The model can be applied for the optimal design of the soil washing process without extra experimental efforts.