• 제목/요약/키워드: support method

검색결과 9,015건 처리시간 0.037초

Approximate Optimization Using Moving Least Squares Response Surface Methods: Application to FPSO Riser Support Design

  • Song, Chang-Yong;Lee, Jong-Soo;Choung, Joon-Mo
    • 한국해양공학회지
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    • 제24권1호
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    • pp.20-33
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    • 2010
  • The paper deals with strength design of a riser support installed on floating production storage and offloading (FPSO) vessel under various loading conditions - operation, extreme, damaged, one line failure case (OLFC) and installation. The design problem is formulated such that thickness sizing variables are determined by minimizing the weight of a riser support structure subject to stresses constraints. The initial design model is generated based on an actual FPSO riser support specification. The finite element analysis (FEA) is conducted using MSC/NASTRAN, and optimal solutions are obtained via moving least squares method (MLSM) in the context of response surface based approximate optimization. For the meta-modeling of inequality constraint functions of stresses, a constraint-feasible moving least squares method (CF-MLSM) is used in the present study. The method of CF-MLSM, compared to a conventional MLSM, has been shown to ensure the constraint feasibility in a case where the approximate optimization process is employed. The optimization results present improved design performances under various riser operating conditions.

Non-deformable support system application at tunnel-34 of Ankara-Istanbul high speed railway project

  • Aksoy, C.O.;Uyar, G.G.;Posluk, E.;Ogul, K.;Topal, I.;Kucuk, K.
    • Structural Engineering and Mechanics
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    • 제58권5호
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    • pp.869-886
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    • 2016
  • Non-Deformable Support System (NDSS) is one of the support system analysis methods. It is likely seen as numerical analysis. Obviously, numerical modeling is the key tool for this system but not unique. Although the name of the system makes you feel that there is no deformation on the support system, it is not true. The system contains some deformation but in certain tolerance determined by the numerical analyses. The important question is what is the deformation tolerance? Zero deformation in the excavation environment is not the case, actually. However, deformation occurred after supporting is important. This deformation amount will determine the performance of the applied support. NDSS is a stronghold analysis method applied in full to make this work. While doing this, NDSS uses the properties of rock mass and material, various rock mass failure criteria, various material models, different excavation geometries, like other methods. The thing that differ NDSS method from the others is that NDSS makes analysis using the time dependent deformation properties of rock mass and engineering judgement. During the evaluation process, NDSS gives the permission of questioning the field observations, measurements and timedependent support performance. These transactions are carried out with 3-dimensional numeric modeling analysis. The goal of NDSS is to design a support system which does not allow greater deformation of the support system than that calculated by numerical modeling. In this paper, NDSS applied to the problems of Tunnel 34 of the same Project (excavated with NATM method, has a length of 2218 meters), which is driven in graphite schist, was illustrated. Results of the system analysis and insitu measurements successfully coincide with each other.

Quadratic Loss Support Vector Interval Regression Machine for Crisp Input-Output Data

  • Hwang, Chang-Ha
    • Journal of the Korean Data and Information Science Society
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    • 제15권2호
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    • pp.449-455
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    • 2004
  • Support vector machine (SVM) has been very successful in pattern recognition and function estimation problems for crisp data. This paper proposes a new method to evaluate interval regression models for crisp input-output data. The proposed method is based on quadratic loss SVM, which implements quadratic programming approach giving more diverse spread coefficients than a linear programming one. The proposed algorithm here is model-free method in the sense that we do not have to assume the underlying model function. Experimental result is then presented which indicate the performance of this algorithm.

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Power System Voltage Stability Classification Using Interior Point Method Based Support Vector Machine(IPMSVM)

  • Song, Hwa-Chang;Dosano, Rodel D.;Lee, Byong-Jun
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제9권3호
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    • pp.238-243
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    • 2009
  • This paper present same thodology for the classification of power system voltage stability, the trajectory of which to instability is monotonic, using an interior point method based support vector machine(IPMSVM). The SVM based voltage stability classifier canp rovide real-time stability identification only using the local measurement data, without the topological information conventionally used.

통신방송위성 탑재체 정합시험 방법에 관한연구 (Interface Test Method for Communications and Broadcasting Satellite Payload)

  • 김신홍;김인준;최완식;이성팔
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 하계종합학술대회 논문집(1)
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    • pp.291-294
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    • 2002
  • This paper proposed interface test method for performance verification of communication and broadcasting satellite between communication and broadcasting satellite payload and EGSE(Electrical Ground Support Equipment). We need ground support equipment for test them to performance verification and conform interface function of payload. This paper define tile telemetry transfer method for control payload using GSE(Ground Support Equipment) and receive telemetry data collected from GSE through bus simulator

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A Support Vector Method for the Deconvolution Problem

  • Lee, Sung-Ho
    • Communications for Statistical Applications and Methods
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    • 제17권3호
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    • pp.451-457
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    • 2010
  • This paper considers the problem of nonparametric deconvolution density estimation when sample observa-tions are contaminated by double exponentially distributed errors. Three different deconvolution density estima-tors are introduced: a weighted kernel density estimator, a kernel density estimator based on the support vector regression method in a RKHS, and a classical kernel density estimator. The performance of these deconvolution density estimators is compared by means of a simulation study.

확률론적 기법을 이용한 터널 지보시스템의 신뢰성 평가 (Reliability Assessment of Tunnel Support Systems Using a Probability-Based Method)

  • 박도현;박의섭;송원경;류동우
    • 터널과지하공간
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    • 제20권1호
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    • pp.39-48
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    • 2010
  • 본 연구에서는 확률론적 기법을 토대로 터널 지보시스템의 신뢰성을 평가할 수 있는 프로그램을 개발하였다. 개발된 프로그램은 솔버로서 FLAC2D를 사용하며 수치해석과 확률론적 해석의 전 과정을 자동적으로 처리할 수 있다. 지반을 모델링한 수치해석시 상당한 계산시간이 소요되므로 시뮬레이션 기법을 적용하여 터널 지보시스템의 신뢰성을 확률론적으로 평가하는 것은 현실적으로 불가능하다. 따라서 본 연구에서는 샘플의 수를 시뮬레이션 기법에 비해 상당히 줄일 수 있어 확률론적 해석을 하는 데 효율적인 점추정법을 사용하였다. 본 연구에서 개발한 프로그램을 터널 프로젝트에 적용하여 결정론적 접근법에 의한 결과와 비교 분석하였다. 이로부터 확률론적 접근법은 파괴확률을 토대로 터널 지보시스템의 신뢰성을 정량적으로 평가할 수 있고 터널 지보설계시 의사결정의 도구로서 활용될 수 있다는 것을 확인하였다.

Buckling of rectangular plates with mixed edge supports

  • Xiang, Y.;Su, G.H.
    • Structural Engineering and Mechanics
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    • 제14권4호
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    • pp.401-416
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    • 2002
  • This paper presents a domain decomposition method for buckling analysis of rectangular Kirchhoff plates subjected to uniaxial inplane load and with mixed edge support conditions. A plate is decomposed into two rectangular subdomains along the change of the discontinuous support conditions. The automated Ritz method is employed to derive the governing eigenvalue equation for the plate system. Compatibility conditions are imposed for transverse displacement and slope along the interface of the two subdomains by modifying the Ritz trial functions. The resulting Ritz function ensures that the transverse displacement and slope are continuous along the entire interface of the two subdomains. The validity and accuracy of the proposed method are verified with convergence and comparison studies. Buckling results are presented for several selected rectangular plates with various combination of mixed edge support conditions.

Support Vector Machines를 이용한 효율적인 차량 인식 알고리즘 (The Efficient Vehicle Recognition Algorithm using Support Vector Machines)

  • 황원준;송명철;고한석
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 제13회 신호처리 합동 학술대회 논문집
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    • pp.327-330
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    • 2000
  • In this paper, we describe an intelligent method to detect types of vehicles using Support Vector Machines focused to the Intelligent Transportation System (ITS) applications such as in the CCD based Electronic Toll Collection System (ETCS). This algorithm can be used the various fields of ITS applications. Support Vector Machines employed in this paper has been recently proposed as a very effective method for 3D image recognition. And our proposed feature extraction method using the singluar values that directly come from pixels at input images. Consequently, The low calculation load and the high recognition rate in spite of image rotation and various noises are one of merits of proposed method.

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고속 표면실장기의 지지부 개선 방법에 관한 연구 (A Study on the Support Toning Method of High-Speed Chip-Mounter)

  • 오창균;박흥근;박진무
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2006년도 추계학술대회논문집
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    • pp.597-602
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    • 2006
  • In this paper, a proper support tuning method is established by identifying the dynamic characteristics of the machine, the floor. and the inertia force. Also, the limitation of a passive isolation is presented. To simplify the dynamic analysis and to establish a proper design method for supporting system, each of the machine and the floor is modeled as a single degree of freedom spring-mass-damper system under careful investigation of the dynamic characteristics of each system and appropriate assumptions. Then, the dynamic behavior of a 2DOF system and the effect of the mass and the damping are investigated. Also, the characteristics of motion profiles are investigated. In addition, a quasi-static analysis on the transmitted force through support is performed and related tests are performed.

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