• 제목/요약/키워드: model averaging

검색결과 300건 처리시간 0.028초

꼰 섬유 복합재료의 열전도도 예측모델 (Thermal Conductivity Model of Twisted Yarn Composites)

  • 변준형;이상관;김병선;박종규;이재열
    • 한국복합재료학회:학술대회논문집
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    • 한국복합재료학회 2003년도 추계학술발표대회 논문집
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    • pp.95-98
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    • 2003
  • In woven or knitted preforms for composites, the yams are often twisted for avoiding damage due to the contact with the textile machine elements. When the preforms of twisted yams are used in carbon/carbon composites, the thermal conductivity of the composites varies depending upon the degree of the yarn twist. This paper presents a thermal conductivity model of spun yarn composites. The thermal-electrical analogy and the averaging technique have been adopted in this analysis. The model prediction has been correlated with experimental results in order to confirm the model predictability. Parametric study has also been conducted to examine the effect of the yam twist on the thermal conductivity of spun yarn composites.

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Texas Climatological Model에 의한 短期 大氣汚染濃度 發生頻度의 推定 (Estimation of Occurrence Frequency of Short Term Air Pollution Concentration Using Texas Climatological Model)

  • 이종범
    • 한국대기환경학회지
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    • 제4권2호
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    • pp.67-71
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    • 1988
  • To estimate the probability of short term concentration of air pollution using long term arithmetic average concentration, the procedure was developed and added to Texas Climatological Model version 2. In the procedure, such statistical characteristics that frequency distribution of short term concentration may be approximated by a lognormal distribution, were applied. This procedure is capable of estimating not only highest concentration for a variety of averaging times but also concentrations for arbitrary occurrence frequency. Evaluation of the procedure with the results of short term concentrations calculated by Texas Episodic Model version 8 using the meteorological data and emission data in Seoul shows that the procedure estimates concentrations fairly well for wide range of percentiles.

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A Wavepacket Study on Translational Energy Distributions of the Photo-stimulated Desorbed Xe from an Oxidized Si(001) Surface

  • Abe, Atsutoshi;Yamashita, Koichi
    • Bulletin of the Korean Chemical Society
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    • 제24권6호
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    • pp.691-694
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    • 2003
  • We report a quantum wavepacket study on the characteristic bimodal translational energy distribution of photostimulated desorbed Xe from an oxidized silicon (001) surface observed by Watanabe and Matsumoto, Faraday Discuss. 117 (2000) 203. We have simulated the theoretical translational energy distributions based on wavepacket calculations with a sudden transition and averaging model to reproduce the experiment. We discuss the desorption mechanism and suggest a very strong position dependence of the deexcitation processes for Xe/oxidized Si(001).

2:1 내부공진을 갖는 케이블의 비선형 진동의 분기해석 (Bifurcation Analysis of Nonlinear Oscillations of Suspended Cables with 2-to-1 Internal Resonance)

  • 장서일
    • 소음진동
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    • 제8권6호
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    • pp.1144-1149
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    • 1998
  • A two degree-of-freedom model of suspended cables is studied for forced resonant response. The method of averaging is used to obtain first-order approximations to the response of the system. A bifurcation analysis of the averaged system is performed in the case of 2-to-1 internal resonance. Nonlinear coupled-mode motions are found to bifurcate from single-mode responses and further bifurcate to limit cycle motions via Hopf bifurcations. The limit cycle solutions undergo period doubling bifurcations to chaos.

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신경회로망을 이용한 밀링 공정의 진동 예측 (Vibration Prediction in Mill Process by Using Neural Network)

  • 이신영
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2003년도 춘계학술대회 논문집
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    • pp.272-277
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    • 2003
  • In order to predict vibration during end-milling process, the cutting dynamics was modelled by using neural network and combined with structural dynamics by considering dynamic cutting states. Specific cutting constants of the cutting dynamics model were obtained by averaging cutting forces and tool diameter, cutting speed, feed, axial depth radial depth were considered as machining factors. Cutting farces by test and by neural network simulation were compared and the vibration during end-milling was simulated.

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절연형 Inverse-SEPIC의 동적모델 및 제어특성 (Control Characteristics of Isolated Inverse-SEPIC)

  • 박한얼;김은석;김수석;송중호
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2007년도 하계학술대회 논문집
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    • pp.26-28
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    • 2007
  • Design equations of II-SEPIC (Isolated Inverse-SEPIC) are derived and its dynamic model is also made using state-space averaging method in this paper. II-SEPIC is comprehensively investigated through the frequency response analysis, compared with those of I-SEPIC (Isolated SEPIC).

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다축경편 복합재료 물성의 스티칭 효과 (Predictions of elastic properties of stitched multi-warped knitted composites)

  • 김형우;전흥재;변준형
    • 한국복합재료학회:학술대회논문집
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    • 한국복합재료학회 2005년도 춘계학술발표대회 논문집
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    • pp.125-129
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    • 2005
  • A micromechanical model for predicting the elastic constants of stitched multi-axial warp knitted (MWK) composite is developed. The averaging method is used to obtain effective properties of stitched MWK fabric composites. In the analysis, a representative volume of the MWK fabric composite is identified. The geometric limitations, effects of stitching yarns and design parameters of MWK fabric composites are considered in the model. Then, the elastic properties of stitched MWK fabric composites are predicted. Finally, the predicted elastic constants are validated by comparison with experimental data. The predicted results are in fair agreement with the experimental results.

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Specific Cutting Force Coefficients Modeling of End Milling by Neural Network

  • Lee, Sin-Young;Lee, Jang-Moo
    • Journal of Mechanical Science and Technology
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    • 제14권6호
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    • pp.622-632
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    • 2000
  • In a high precision vertical machining center, the estimation of cutting forces is important for many reasons such as prediction of chatter vibration, surface roughness and so on. The cutting forces are difficult to predict because they are very complex and time variant. In order to predict the cutting forces of end-milling processes for various cutting conditions, their mathematical model is important and the model is based on chip load, cutting geometry, and the relationship between cutting forces and chip loads. Specific cutting force coefficients of the model have been obtained as interpolation function types by averaging forces of cutting tests. In this paper the coefficients are obtained by neural network and the results of the conventional method and those of the proposed method are compared. The results show that the neural network method gives more correct values than the function type and that in the learning stage as the omitted number of experimental data increase the average errors increase as well.

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Numerical analysis of Brazilian split test on concrete cylinder

  • Wosatko, Adam;Winnicki, Andrzej;Pamin, Jerzy
    • Computers and Concrete
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    • 제8권3호
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    • pp.243-278
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    • 2011
  • The paper presents simulations of the Brazilian test using two numerical models. Both models are regularized in order to obtain results independent of discretization. The first one, called gradient damage, is refined by additional averaging equation which contains gradient terms and an internal length scale as localization limiter. In the second one, called viscoplastic consistency model, the yield function depends on the viscoplastic strain rate. In this model regularization properties are governed by the assumed strain rate. The two models are implemented in the FEAP finite element package and compared in this paper. Parameter studies of the split test are performed in order to point out the features of each model.