• 제목/요약/키워드: secondary model

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지반-라이닝 상호작용 모델을 이용한 터널 2차라이닝 설계에 관한 연구 (A Study on Secondary Lining Design of Tunnels Using Ground-Lining Interaction Model)

  • 장석부;허도학;문현구
    • 한국터널지하공간학회 논문집
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    • 제8권4호
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    • pp.365-375
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    • 2006
  • 일반적으로 터널2차라이닝의 구조해석에는 골조해석모델이 적용되고 있다. 본 모델은 경험적 방법에 의한 지반 이완하중을 고려하고 있으나 주관적이고 과대평가되는 경향이 있다. 2차라이닝에 작용하는 지반하중은 숏크리트 및 록볼트와 같은1차지보재의 지지력 상실에 기인한다. 그러므로 2차라이닝에 작용하는 지반하중 산정에는 1차지보재와 지반의 평형상태가 고려되어야 한다. 지반-라이닝 상호작용(Ground-Lining Interaction, GLI)모델은1차지보재의 지지력 상실에 의해 야기된 지반의 변형을2차라이닝이 지지하는 개념을 토대로 수립되었다. 따라서 GLI모델은 복잡한 지반조건과 1차 지보재의 설치조건을 합리적으로 반영한 지반하중을 고려할 수 있다. 2차라이닝에 작용하는 하중은 지반하중 외에 지하수압, 지진하중 등이 있다. 극한강도 설계법을 이용한 라이닝 구조보강을 위해서는 계수하중 및 다양한 하중조합이 고려되어야 한다. GLI모델은 계수하중을 고려하기 곤란하기 때문에 개별 하중에 대해 산정된2차라이닝 단면력에 하중계수를 곱하는 중첩의 원리를 적용하였다. 끝으로, 본 연구에서 제시된 GLI모델을 이용한 2차라이닝 설계방법을 저심도 지하철 터널에 적용하였다.

조(粗)·세립상(細粒床)의 연속구조를 갖는 개수로 흐름에서 오염물질 수송에 대한 이차흐름 영향 분석 (Impact of Secondary Currents on Solute Transport in Open-Channel Flows over Smooth-Rough Bed Strips)

  • 강형식;최성욱;김규호
    • 대한토목학회논문집
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    • 제29권1B호
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    • pp.73-81
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    • 2009
  • 본 연구에서는 개수로 흐름에서 오염물질 이동 현상에 대한 이차흐름의 영향을 분석하였다. 운동량 방정식과 스칼라 수송 방정식에서의 난류 폐합을 위해 레이놀즈응력 모형 및 GGDH 모형을 사용하였다. 개발된 모형을 이용하여 조 세립상의 횡방향 연속구조를 갖는 개수로 흐름에서의 오염물질 이동에 대한 이차흐름의 영향을 분석하였다. 그 결과, 이차흐름의 영향으로 인해 최대 농도 값의 발생 위치가 이동하는 것으로 나타났으며, 농도 분포 역시 정규 분포에서 거리에 따라 점차 왜곡 되는 것으로 확인되었다. 또한, 이차흐름의 영향으로 자유수면 근처에서는 매끄러운 하상에 비해 거친 하상에서의 오염물질 농도가 더 크게 발생되었으며, 스칼라-흐름률을 계산한 결과, 오염물질의 수직방향 확산은 매끄러운 하상에 비해 거친 하상에서 더 빨리 진행되는 것으로 확인되었다. 한편, 농도 분포 변화에 대한 이차흐름 및 스칼라-흐름률의 영향을 살펴보기 위하여 스칼라 수송률 분석을 수행하였다.

Molecular Biology of Secondary Growth

  • Han, Kyung-Hwan
    • Journal of Plant Biotechnology
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    • 제3권2호
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    • pp.45-57
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    • 2001
  • Trees have the ability to undergo secondary growth and produce a woody body. This tree-specific growth is affected by the secondary vascular system and the developmental continuum of secondary phloem and xylem. Secondary growth is one of the most important biological processes on earth. Considering its economic and environmental significance, our knowledge of tree growth and development is surprisingly limited. Trees have received little attention as model species in plant science, as most Plant biology questions can be best addressed by using herbaceous model species, such as Arabidopsis. Furthermore, tree biology is difficult to study mainly due to the inherent problems of tree species, including large size, long generation time, large genome size, and recalcitrance to biotechnological manipulations. Despite all of this, one must rely on trees as models to study tree-specific questions, such as secondary growth, which cannot be studied effectively in non-woody model species. Recent advances in genomics technology provide a unique opportunity to overcome these inherent tree-related problems. Several groups, including our own, have been successful in studying the biology of wood formation with a variety of hardwood and softwood species. In this article, 1 first review the current understanding of tree growth and then discuss the recent attempts to fully explore and realize the potential of molecular biology as a tool for enhanced understanding of secondary growth.

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Consolidation settlement of soil foundations containing organic matters subjected to embankment load

  • Feng, Ruiling;Wang, Liyang;Wei, Kang;Zhao, Jiacheng
    • Geomechanics and Engineering
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    • 제24권1호
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    • pp.43-55
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    • 2021
  • Peatland is distributed in China widely, and organic matters in soil frequently induce problems in the construction and maintenance of highway engineering due to the high permeability and compressibility. In this paper, a selected site of Dali-Lijiang expressway was surveyed in China. A numerical model was built to predict the settlement of the foundation of the selected section employing the soft soil creep (SSC) model in PLAXIS 8.2. The model was subsequently verified by the result of field observance. Consequently, the parameters of 17 types of soils from different regions in China with organic contents varying from 1.1-74.9% were assigned to the numerical model to study the settlement characteristics. The calculated results showed that the duration of primary consolidation and proportion of primary settlement in the total settlement decreased with increasing organic content. Two empirical equations, for total consolidation settlement and secondary settlement, were proposed using multiple linear regression based on the calculated results from the numerical models. The analysis results of the significances of certain soil parameters demonstrated that the natural compression index, secondary compression index, cohesion and friction angle have significant linear relevance with both the total settlement and secondary settlement, while the initial coefficient of permeability exerts significant influence on the secondary settlement only.

고급강 제조 반응 모델의 검토 : Part. 2. 종합 모델 및 단일 반응 모델 (A Review of Kinetic Model for Production of Highgrade Steel : Part. 2. Complex Reaction Model and Single Reaction Model)

  • 김정인;김선중
    • 자원리싸이클링
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    • 제30권1호
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    • pp.14-25
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    • 2021
  • 고품질 철강의 수요가 증가함에 따라 2차 정련 공정의 중요성이 높아지고 있다. 하지만 공정 시간에 따라 변화하는 용강, 슬래그 및 비금속 개재물의 조성은 정련 공정이 평형 상태가 아님을 의미하며, 정련 공정에서는 용강, 슬래그, 비금속 개재물, 내화물 및 합금 원소 간의 동시 다발적 반응이 일어난다. 다양한 상들의 비평형 상태에서 복잡한 반응을 고려하기 위해, 이전 연구자들은 실험을 통해 도출된 반응 속도 수식들을 기반으로 kinetic 기반의 고급강 제조 정련 시뮬레이션 모델을 발표하였다. 정밀한 시뮬레이션 모델의 개발을 위해 보고된 2차 정련 모델들의 분석 및 검토가 필요하다. 본 연구에서는 국내외로 발표된 정련 공정 관련 종합 모델들 및 단일 반응 모델들에 대하여 검토하고 소개하였다.

DNN과 2차 데이터를 이용한 PM10 예보 성능 개선 (Improvement of PM10 Forecasting Performance using DNN and Secondary Data)

  • 유숙현;전영태
    • 한국멀티미디어학회논문지
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    • 제22권10호
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    • pp.1187-1198
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    • 2019
  • In this study, we propose a new $PM_{10}$ forecasting model for Seoul region using DNN(Deep Neural Network) and secondary data. The previous numerical and Julian forecast model have been developed using primary data such as weather and air quality measurements. These models give excellent results for accuracy and false alarms, but POD is not good for the daily life usage. To solve this problem, we develop four secondary factors composed with primary data, which reflect the correlations between primary factors and high $PM_{10}$ concentrations. The proposed 4 models are A(Anomaly), BT(Back trajectory), CB(Contribution), CS(Cosine similarity), and ALL(model using all 4 secondary data). Among them, model ALL shows the best performance in all indicators, especially the PODs are improved.

Multi-Secondary Transformer: A Modeling Technique for Simulation - II

  • Patel, A.;Singh, N.P.;Gupta, L.N.;Raval, B.;Oza, K.;Thakar, A.;Parmar, D.;Dhola, H.;Dave, R.;Gupta, V.;Gajjar, S.;Patel, P.J.;Baruah, U.K.
    • Journal of international Conference on Electrical Machines and Systems
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    • 제3권1호
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    • pp.78-82
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    • 2014
  • Power Transformers with more than one secondary winding are not uncommon in industrial applications. But new classes of applications where very large number of independent secondaries are used are becoming popular in controlled converters for medium and high voltage applications. Cascade H-bridge medium voltage drives and Pulse Step Modulation (PSM) based high voltage power supplies are such applications. Regulated high voltage power supplies (Fig. 1) with 35-100 kV, 5-10 MW output range with very fast dynamics (${\mu}S$ order) uses such transformers. Such power supplies are widely used in fusion research. Here series connection of isolated voltage sources with conventional switching semiconductor devices is achieved by large number of separate transformers or by single unit of multi-secondary transformer. Naturally, a transformer having numbers of secondary windings (~40) on single core is the preferred solution due to space and cost considerations. For design and simulation analysis of such a power supply, the model of a multi-secondary transformer poses special problem to any circuit analysis software as many simulation softwares provide transformer models with limited number (3-6) of secondary windings. Multi-Secondary transformer models with 3 different schemes are available. A comparison of test results from a practical Multi-secondary transformer with a simulation model using magnetic component is found to describe the behavior closer to observed test results. Earlier models assumed magnetising inductance in a linear loss less core model although in actual it is saturable core made-up of CRGO steel laminations. This article discusses a more detailed representation of flux coupled magnetic model with saturable core properties to simulate actual transformers very close to its observed parameters in test and actual usage.

PERFORMANCE ANALYSIS OF COGNITIVE NETWORK WITH PRIMARY AND SECONDARY CHANNELS

  • Lee, Yutae
    • East Asian mathematical journal
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    • 제29권1호
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    • pp.101-107
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    • 2013
  • We consider a cognitive network with a primary and a secondary channel. Primary users have higher priority on the usage of the primary channel, and secondary users are allowed to opportunistically access the primary channel at times when the channel is not occupied by primary users. The secondary channel is dedicated only to secondary users. An analytical model is presented to obtain the performance of an opportunistic spectrum access using both the primary and secondary channels, and is validated by simulations.

수정점도 모델을 이용한 직사각형 덕트에서의 부력을 고려한 점탄성 유체의 열전달 특성 (Heat Transfer Behavior of Viscoelastic Fluid including buoyancy effect with Modified Temperature Dependent Viscosity Model in a Rectangular Duct)

  • 손창현;장재환
    • 한국전산유체공학회:학술대회논문집
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    • 한국전산유체공학회 1999년도 춘계 학술대회논문집
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    • pp.192-198
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    • 1999
  • The present study proposes modified temperature-dependent non-Newtonian viscosity model and investigates flow characters and heat transfer enhancement of the viscoelastic non-Newtonian fluid in a 2:1 rectangular duct. The proposed modified temperature dependent viscosity model has non-zero value near the high temperature and high shear rate region while on the existing viscosity models have zero value. Two versions of thermal boundary conditions involving difference combination of heated walls and adiabatic walls are analyzed in this study. The combined effect of temperature dependent viscosity, buoyancy, and secondary flow caused by second normal stress difference are ail considered. The Reiner-Rivlin model is adopted as a viscoelastic fluid model to simulate the secondary flow caused by second normal stress difference. Calculated Nusselt numbers by the modified temperature-dependent viscosity model gives under prediction than the existing temperature-dependent viscosity model in the regions of thermally developed with same secondary normal stress difference coefficients with experimental results in the regions of thermally developed. The heat transfer enhancement of the viscoelastic fluid in a 2:1 rectangular duct is highly dependent on the secondary flow caused by the magnitude of second normal stress difference.

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Interference and Throughput in Spectrum Sensing Cognitive Radio Networks using Point Processes

  • Busson, Anthony;Jabbari, Bijan;Babaei, Alireza;Veque, Veronique
    • Journal of Communications and Networks
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    • 제16권1호
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    • pp.67-80
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    • 2014
  • Spectrum sensing is vital for secondary unlicensed nodes to coexist and avoid interference with the primary licensed users in cognitive wireless networks. In this paper, we develop models for bounding interference levels from secondary network to the primary nodes within a spectrum sensing framework. Instead of classical stochastic approaches where Poisson point processes are used to model transmitters, we consider a more practical model which takes into account the medium access control regulations and where the secondary Poisson process is judiciously thinned in two phases to avoid interference with the secondary as well as the primary nodes. The resulting process will be a modified version of the Mat$\acute{e}$rn point process. For this model, we obtain bounds for the complementary cumulative distribution function of interference and present simulation results which show the developed analytical bounds are quite tight. Moreover, we use these bounds to find the operation regions of the secondary network such that the interference constraint is satisfied on receiving primary nodes. We then obtain theoretical results on the primary and secondary throughputs and find the throughput limits under the interference constraint.