• 제목/요약/키워드: Reduced-order-model

검색결과 1,126건 처리시간 0.034초

RBF-POD reduced-order modeling of DNA molecules under stretching and bending

  • Lee, Chung-Hao;Chen, Jiun-Shyan
    • Interaction and multiscale mechanics
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    • 제6권4호
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    • pp.395-409
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    • 2013
  • Molecular dynamics (MD) systems are highly nonlinear and nonlocal, and the conventional model order reduction methods are ineffective for MD systems. The RBF-POD method (Lee and Chen, 2013) employed a radial basis function (RBF) approximated potential energies and inter-atomic forces of MD systems under the framework of the proper orthogonal decomposition (POD) method for the reduced-order modeling of MD systems. In this work, we focus on the numerical procedures of the RBF-POD method and demonstrate how to apply this approach to the modeling of ds-DNA molecules under stretching and bending conditions.

이산시간 선형 시스템의 차수 감소에 있어서 대역통과 오차 감소 (The Reduction of Pass Band Error in the Order Reduction of the Discrete Time Linear Systems)

  • 김정화;정찬수
    • 한국통신학회논문지
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    • 제17권1호
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    • pp.11-19
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    • 1992
  • 본 논문은 선형 시불변 시스템의 가제어성 및 가관측성 graminan을 가중함수에 의해 변화시키므로써 통과대역의 오차를 감소시키는 저차수화 방법을 제안한다. 저역 통과 필터의 4차를 3차로 감소하는 경우에 제안된 방법에서 QEI는 평형 실현 방법에서 10.16464에 비하여 6.15724로 개선 되었고, 감도는 7.790568에 비하여 5.45692로 개선 되었다. 주파수 특성 곡선은 제안된 방법이 평형 실현 방법보다 우수함을 보인다.

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Reduced Model Design of Multilayer Ceramic Capacitor for Vibration Analysis

  • ;;박노철
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2014년도 춘계학술대회 논문집
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    • pp.392-393
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    • 2014
  • Multilayer ceramic capacitors (MLCCs) have become one kind of the most widely used electrical components in recent decades. And the technology of MLCCs is developing continuously towards a direction of high capacitance and miniaturization. While the tiny thickness and the large quantity of the layers often make it very troublesome to do analysis with the full model MLCCs. In order to solve this problem, reduced model with fewer layers of MLCC was designed and verified in this paper.

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Investigation on the nonintrusive multi-fidelity reduced-order modeling for PWR rod bundles

  • Kang, Huilun;Tian, Zhaofei;Chen, Guangliang;Li, Lei;Chu, Tianhui
    • Nuclear Engineering and Technology
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    • 제54권5호
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    • pp.1825-1834
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    • 2022
  • Performing high-fidelity computational fluid dynamics (HF-CFD) to predict the flow and heat transfer state of the coolant in the reactor core is expensive, especially in scenarios that require extensive parameter search, such as uncertainty analysis and design optimization. This work investigated the performance of utilizing a multi-fidelity reduced-order model (MF-ROM) in PWR rod bundles simulation. Firstly, basis vectors and basis vector coefficients of high-fidelity and low-fidelity CFD results are extracted separately by the proper orthogonal decomposition (POD) approach. Secondly, a surrogate model is trained to map the relationship between the extracted coefficients from different fidelity results. In the prediction stage, the coefficients of the low-fidelity data under the new operating conditions are extracted by using the obtained POD basis vectors. Then, the trained surrogate model uses the low-fidelity coefficients to regress the high-fidelity coefficients. The predicted high-fidelity data is reconstructed from the product of extracted basis vectors and the regression coefficients. The effectiveness of the MF-ROM is evaluated on a flow and heat transfer problem in PWR fuel rod bundles. Two data-driven algorithms, the Kriging and artificial neural network (ANN), are trained as surrogate models for the MF-ROM to reconstruct the complex flow and heat transfer field downstream of the mixing vanes. The results show good agreements between the data reconstructed with the trained MF-ROM and the high-fidelity CFD simulation result, while the former only requires to taken the computational burden of low-fidelity simulation. The results also show that the performance of the ANN model is slightly better than the Kriging model when using a high number of POD basis vectors for regression. Moreover, the result presented in this paper demonstrates the suitability of the proposed MF-ROM for high-fidelity fixed value initialization to accelerate complex simulation.

배연탈질 SCR 반응기내 유동균일 화를 위한 축소모형실험 및 전산해석 (Reduced Scale Model Experiments and Numerical Simulation for Flow Uniformity in de-NOx SCR Reactor)

  • 이인영;김동화;이정빈;류경옥
    • 한국대기환경학회지
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    • 제17권4호
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    • pp.347-354
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    • 2001
  • SCR (Selective Catalytic Reduction) process is presently considered as one of the most effective techniques for removing nitric oxides from exhaust gases. In this study, based on the conceptually designed SCR reactor of 500 MW coal fired power plant. a reduced scale (1/20) SCR reactor model was made to analyze the flow pattern in front of catalyst layer according to the guide vane's design factors such as the number, interval, and angle of vanes. The results of the test were compared to those numerical simulation in order to assure the reliability of two methods. On the basis of our study. the critical Reynolds number (2.0$\times$ 10$^{5}$ ) was proposed for ensuring the similarity between the reduced scale model and the prototype of SCR reactor. Optimum design parameters of guide vanes were determined as follows, 4 vanes, the first vane angle of 93$^{\circ}$, and the vane intervals of 0.85 S/n, 1.05 S/n, 1.1 S/n, 1.0S/n, 1.0S/n (S: the distance of duct, n: the number of guide vanes). The excellent agreement between the results of the numerical simulation and the reduced scale model provides the validation of two methods for prediction of flow through SCR reactor.

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능동형 제진 시스템의 설계 및 해석 (Design and Analysis of an Active Vibration Isolation System)

  • 문준희;박희재
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2004년도 추계학술대회논문집
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    • pp.647-650
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    • 2004
  • The modeling of an active vibration isolation system is accomplished by using the equivalent spring constant, mass and rotational Inertia of each component. The detailed model of the actuation module is successful for describing its frequency-domain performance but also too complicated to implement it to actual system for control so that the order of the model is reduced up to the degree that preserves its characteristic in the low frequency range. The reduced model is suitable for identifying the unknown system parameters such as damping constants of components. The overall isolation system is described by using the reduced model of the actuation module. The accurate model ing and system parameter identification that is essential for the control of the active vibration isolation system is attained successfully.

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시간지연에 의한 일차홀드 방식을 포함하는 가상벽 모델의 안정성 영향 분석 (Effects of the time delay on the stability of a virtual wall model with a first-order-hold method)

  • 이경노
    • 융복합기술연구소 논문집
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    • 제4권2호
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    • pp.17-21
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    • 2014
  • This paper presents the effects of the time delay on the stability of the haptic system that includes a virtual wall and a first-order-hold method. The model of a haptic system includes a haptic device model with a mass and a damper, a virtual wall model, a first-order-hold model and a time delay model. In this paper, the time delay is considered as the computational time delay that is assumed to be as much as the sampling time. As the time delay increases, the maximal available stiffness of a virtual wall model is reduced reversely. The relation among the time delay and the maximum available stiffness, the mass and the damper of the haptic device are analyzed using the MATLAB simulation.

동태안정도연구를 위한 반도체 속응여자방식 발전소의 간이전력계통 모형 (Simplified Power System Model of the Generator with the High Speed Solid State Exciter for Dynamic Stability Studies)

  • 한송엽;성세진
    • 전기의세계
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    • 제24권5호
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    • pp.67-71
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    • 1975
  • A dynamic stability analysis of a large interconnected power system takes much time even though the modern large computer is used because of the high order of the system dynamic equations. By the necessity of the low order power system models, a simplified power system model of the generator with the high speed solid state exciter is developed in this paper. The usefulness of the reduced model is confirmed by comparing its eigenvalues and the transient responses with those of the original model in the single machine to infinite bus power system.

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A MODEL-ORDER REDUCTION METHOD BASED ON KRYLOV SUBSPACES FOR MIMO BILINEAR DYNAMICAL SYSTEMS

  • Lin, Yiqin;Bao, Liang;Wei, Yimin
    • Journal of applied mathematics & informatics
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    • 제25권1_2호
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    • pp.293-304
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    • 2007
  • In this paper, we present a Krylov subspace based projection method for reduced-order modeling of large scale bilinear multi-input multi-output (MIMO) systems. The reduced-order bilinear system is constructed in such a way that it can match a desired number of moments of multi-variable transfer functions corresponding to the kernels of Volterra series representation of the original system. Numerical examples report the effectiveness of this method.