• Title/Summary/Keyword: 몬테카를로해석

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Weibull Statistical Analysis of Micro-Vickers Hardness using Monte-Carlo Simulation (몬테카를로 시뮬레이션에 의한 미소 비커스 경도의 Weibull 통계 해석)

  • Kim, Seon-Jin;Kong, Yu-Sik;Lee, Sang-Yeal
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.33 no.4
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    • pp.346-352
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    • 2009
  • In the present study, the Weibull statistical analysis using the Monte-Carlo simulation has been performed to investigate the micro-Vickers hardness measurement reliability considering the variability. Experimental indentation test were performed with a micro-Vickers hardness tester for as-received and quenching and tempering specimens in SCM440 steels. The distribution of micro-Vickers hardness is found to be 2-parameter Weibull distribution function. The mean values and coefficients of variation (COV) for both data set are compared with results based on Weibull statistical analysis. Finally, Monte-Carlo simulation was performed in order to evaluate the effect of sample size on the micro-Vickers hardness measurement reliability. For the parent distribution with shape parameter 30.0 and scale parameter 200.0 (COV=0.040), the number of sample data required to obtain the true Weibull parameters was founded by 20. For the parent distribution with shape parameter 10.0 and scale parameter 200.0 (COV=0.1240), the number of sample data required to obtain the true Weibull parameters was founded by 30.

Analysis of Flow Resistance in Microchannels at Slip-Flow Regime by Direct Simulation Monte Carlo Method (DSMC를 이용한 미끄럼흐름영역에서 미소채널의 유동저항 해석)

  • Sung Jaeyong;Ahn Youngkyoo;Lee Sukjong;Lee Myeong Ho
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.30 no.1 s.244
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    • pp.1-7
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    • 2006
  • The characteristics of micro gaseous flows in microchannels have been analyzed in view of flow resistance using the direct simulation Monte Carlo (DSMC) method which is a molecule-based numerical modeling technique. For this purpose, a DSMC code where the pressure boundary condition was specified at the inlet and outlet, has been developed and the results of simulations showed satisfactory agreements with the analytic solution in the slip flow regime. (0.01 < Kn < 0.1) By varying the height and length of the microchannel, the effect of pressure difference between the inlet and outlet was examined. The present computation indicates that the curvature in pressure distribution along the channel increases due to the effect of compressibility when the pressure difference increases. To obtain the flow resistance regardless of the channel dimensions, a standard curve is devised in the present study by introducing the concept of unit mass flowrate and unit driving pressure force. From this curve, it is shown that in micro flows, a significant deviation from the laminar incompressible flow occurs by reducing the flow resistance.

A numerical study of the performance of a turbomolecular pump (터보분자펌프의 성능해석에 관한 수치해석적 연구)

  • Hwang, Yeong-Gyu;Heo, Jung-Sik
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.20 no.11
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    • pp.3620-3629
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    • 1996
  • In the free molecular flow range, the pumping performance of a turbomolecular pump has been predicted by calculation of the transmission probability which employs the integral method and the test particle Monte-Carlo method. Also, new approximate method combining the double stage solutions, so called double-approximation, is presented here. The calculated values of transmission probability for the single stage agree quantitatively with the previous known numerical results. For a six-stage pump, the Monte-Carlo method is employed to calculate the overall transmission probability for the entire set of blade rows. When the results of the approximate method combining the single stage solutions are compared with those of the Monte-Carlo method at dimensionless blade velocity ratio C=0.4, the previous known approximate method overestimates as much as 34% than does the Monte-Carlo method. But, the new approximate method gives more accurate results, whose relative error is 10% compared to the Monte-Carlo method, than does the previous approximate method.

Error Quantification of Photogrammetric 6DOF Pose Estimation (사진계측기반 6자유도 포즈 예측의 오차 정량화)

  • Kim, Sang-Jin;You, Heung-Cheol;Reu, Taekyu
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.41 no.5
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    • pp.350-356
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    • 2013
  • Photogrammetry has been widely used for measuring the important physical quantities in aerospace areas because it is a remote and non-contact measurement method. In this study, we analyzed photogrammetric error which can be occur in six degrees of freedom(6DOF) analysis among coordinates systems with single camera. Error analysis program were developed, and validated using geometric problem converted from imaging process. We analogized that the statistic from estimated camera pose which is need to 6DOF analysis is normally distributed, and quantified the photogrammetric error using estimated population standard deviation.

Radiation Streaming in KNU-1 Reactor Cavity (고리 1호기 원자로 공동에서의 방사선 흐름 현상 해석)

  • Kun-Woo Cho;Chang-Soon Kang
    • Nuclear Engineering and Technology
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    • v.18 no.1
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    • pp.27-37
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    • 1986
  • The neutron fluxes and dose rates due to radiation streaming from reactor cavities were evaluated at the KNU-1 reactor pressure vessel (RPY) head flange elevation. To find a suitable cross section data set for the evaluation, a benchmark test was performed for three data sets; DLC-23/CASK, DLC-31/FEWG, and DLC-47/BUGLE. The leakage fluxes from the KNU-1 RPV outer surface were calculated with two different methods: 1-D calculation with ANISN, and 2-D calculation with DOT3.5. The Monte Carlo procedures as embodied in the MORSE-CG code combined with the albedo option were applied to predict the radiation distributions in the cavity region. Finally, the activation analysis of the stud bolts was performed to identify the major activation products.

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Computer aided simulation of spark plasma sintering process (Part 2 : analysis) (스파크 플라스마 소결공정의 전산모사(2부 : 해석))

  • Keum Y.T.;Jung S.C.;Jean J.H.
    • Journal of the Korean Crystal Growth and Crystal Technology
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    • v.16 no.1
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    • pp.43-48
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    • 2006
  • In this Part 2, the grain growth processes of $Al_2O_3$ ceramics is numerically simulated using Monte Carlo method (MCM) and finite element method (FEM) and the pore sizes are analyzed. As the green ceramics whose thermal conductivities in high temperatures are generally low are sintered by the plasma heat and are rapidly cooled, the grain growth of the sintered body in the center is different from that in the outer. Also, even in the same sintering temperature, the pore size differs according to the pressing pressure. In order to prove the difference, the temperature distribution of the sintered body was analyzed using the finite element method and then the grain growth process associated with pressing pressures and relative densities was simulated using Monte Carlo method.

Evaluation of Near-future Drought Risk Assessment using Weather Generation (일기생성기를 통한 미래 가뭄위험도 산정)

  • Sur, Chanyang;Kim, Dongkyun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2016.05a
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    • pp.89-89
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    • 2016
  • 전 세계적으로 발생하는 기후변화로 인해 홍수, 가뭄 등과 같은 자연재해의 빈도가 높아지고 있다. 이러한 자연재해는 사회 경제적으로도 많은 피해를 유발하고 있으며, 특히 물과 관련한 자연재해는 인류의 생존과 직결되는 문제가 된다. 이중에서도 가뭄과 관련한 연구는 진행 속도가 느리고, 가뭄의 진원지나 그 경로를 파악하기 어려운 문제로 인하여 다른 연구와 비교하였을 때 상대적으로 미흡하게 진행되어 왔다. 이러한 문제점 때문에 여타의 다른 자연재해에 비해 가뭄에 대한 예측 및 대책 마련 또한 쉽지 않은 실정이다. 이에 몬테카를로 모의를 통해 미래에 발생할 수 있는 다양한 시나리오를 도출하는 확률론적 접근을 통해 좀 더 효율적이고 현실적인 대책 안을 마련할 수 있다. 본 연구의 목표는 기존 강우생성기와 증발산생성기를 결합한 일기생성기를 개발하고 이를 기후변화 시나리오에 적용하여 미래의 가뭄위험지수를 산출하는 것이다. 산출된 결과를 토대로 우리나라 전역에 대하여 준 실시간으로 갱신되는 미래가뭄위험도의 지도를 제작할 수 있다. 본 연구의 차별성은 첫 번째로 추계론적 접근을 통해 현재의 가뭄상태에 근거한 미래 가뭄에 대한 위험도를 예측할 수 있음을 들 수 있으며, 두 번째로는 지표해석모형을 활용하여 가뭄을 해석하기 때문에 유역 전반에 걸친 토양수분 뿐 만 아니라 국내 주요 댐 상류의 저수지 유입량의 불확실성을 정량화 할 수 있으며, 이는 기후변화에 따른 수자원 장기계획의 수립 및 의사결정에 있어 실용적인 정보를 제공할 수 있다.

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Development of an Analysis Program for Pedestrian Flow based on the Discrete Element Method (이산요소법을 이용한 보행류 해석 프로그램 개발)

  • Nam, Seong-Won;Kwon, Hyeok-Bin
    • Proceedings of the KSME Conference
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    • 2007.05b
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    • pp.3197-3202
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    • 2007
  • An analysis program for pedestrian flow has been developed to investigate the flow patterns of passenger in railway stations. Analysis algorithms for pedestrian flow based on DEM(Discrete Element Method) are newly developed. There are lots of similarity between particle-laden two phase flow and passenger flow. The velocity component of 1st phase corresponds to the unit vector of calculation cell, each particle to passenger, volume fraction to population density and the particle velocity to the walking velocity, etc. And, the walking velocity of passenger is also represented by the function of population density. Key algorithms are developed to determine the position of passenger, population density and numbering to each passenger. By using the developed program, we compared the simulation results of the effects of the location and size of exit and elapsed time.

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A Monte Carlo Simulation of excitation.ionization profiles of Nitrogen Gas in 1 atm. Corona discharge (몬테카를로법을 이용한 대기압 코로나방전에 의한 $N_2$의 여기.전리 분포 해석)

  • Kim, Kyung-Ho;Ko, Kwang-Cheol;Kang, Hyung-Boo
    • Proceedings of the KIEE Conference
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    • 1995.07c
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    • pp.1385-1387
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    • 1995
  • The Monte Carlo method for studying the steady-state behavior of electrons under the influence of a electric field is described. In this simulation used a Free Flight Time technique based on determination of the increase in kinetic energy between two collisions. The electron behavior in the cathode region of a corona discharge has been analysed using this method; spatial variations of the energy and excitation, ionization, and the multiplication of electrons were discussed.

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Reliability Analysis of a System with Redundancy Management Based on Monte-Carlo Probability Model (다중구조관리자 특성이 반영된 확률모델 기반의 몬테카를로 신뢰도 해석 기법 연구)

  • Kim, Sung-Su;Park, Sang-Hyuk;Kim, Sung-Hwan;Choi, Kee-Young;Park, Choon-Bae;Ha, Cheol-Keun
    • Journal of Institute of Control, Robotics and Systems
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    • v.17 no.11
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    • pp.1132-1137
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    • 2011
  • Critical systems with high reliability feature fault tolerant redundancy. Conventional analytical reliability analysis methods that use the Reliability Block Diagram do not adequately reflect characteristics of the redundancy management system and are not suitable for this applications. This paper uses Monte-Carlo method to calculate the reliability of complicated redundant systems. The method was first validated for cases with analytical solutions. Then, the tool was successfully applied to analyze reliability of the flight control systems with a voter as redundancy management system.