• Title/Summary/Keyword: Simulation Result Prediction

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An Analysis of Location Management Cost by Predictive Location Update Policy in Mobile Cellular Networks (이동통신망에서 예측 위치 등록 정책을 통한 위치관리 비용 감소 효과 분석)

  • Go, Han-Seong;Jang, In-Gap;Hong, Jeong-Sik;Lee, Chang-Hun
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2007.11a
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    • pp.388-394
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    • 2007
  • In wireless network, we propose a predictive location update scheme which considers mobile user's(MU's) mobility patterns. MU's mobility patterns can be found from a movement history data. The prediction accuracy and model complexity depend on the degree of application of history data. The more data we use, the more accurate the prediction is. As a result, the location management cost is reduced, but complexity of the model increases. In this paper, we classify MU's mobility patterns into four types. For each type, we find the respective optimal number of application of history data, and predictive location area by using the simulation. The optimal numbers of four types are shown to be different. When we use more than three application of history data, the simulation time and data storage are shown to increase very steeply.

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A Prediction of the Flow Characteristics around Buildings with the Turbulent Models (난류모델에 따른 건물주위의 유동 예측)

  • Lee, Seung-Ho;Yeo, Jae-Hyun;Hur, Nahm-Keon;Choi, Chang-Koon
    • 한국전산유체공학회:학술대회논문집
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    • 2008.03b
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    • pp.168-171
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    • 2008
  • In the present study, turbulent flows around cubic and L-shape buildings were simulated numerically. Standard ${\kappa}$-$\varepsilon$, RNG ${\kappa}$-$\varepsilon$, LES turbulence models were adopted for the present simulation. The wind pressure coefficients from these results were compared with the available experimental data. The result of RNG ${\kappa}$-$\varepsilon$ and LES turbulent models gave better prediction than that of standard ${\kappa}$-$\varepsilon$ turbulent model which is widely used in the turbulent flow simulation.

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Numerical Simulation of High-Velocity Oblique Impacts of Yawed Long Rod Projectile Against Thin-Plate (Yaw 를 가진 긴 관통자와 경사판재의 고속충돌 수치해석)

  • Yoo, Yo-Han
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.26 no.7
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    • pp.1426-1437
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    • 2002
  • Using the Lagrangian explicit time-integration finite element code NET3D which can treat three-dimensional high-velocity impact problems, oblique penetration processes of long rod projectile with yaw against thin plate are simulated. Through the comparison of simulation result with experimental result and other code's computational result, the adaptability and accuracy of NET3D is evaluated under the complex situation in which yaw angle and oblique angle exist simultaneously. Main research contents to be handled in this paper include the followings. First, the accuracy and efficiency estimation of NET3D code result obtained from the oblique penetration simulations of long rod projectile with yaw against thin plate. Second, the effect of increasing impact velocity. Third, the effect of initial yaw for the spaced-plate target. Residual velocities, residual lengths, angular velocities, and final deformed configurations obtained from the NET3D computations are compared with the experimental results and other code's computational results such as Eulerian code MESA and Lagrangian code EPIC. As a result of comparisons, it has been found that NET3D code is superior to EPIC code and MESA code in the prediction capability of residual velocity and residual length of penetrator. The key features obtained from the experiment can be successfully reproduced through NET3D simulations. Throughout the study, the applicability and accuracy of NET3D as a metallic armor system design tool is verified.

Prediction of Springback after V-Bending of High-Strength Steel Sheets Using Artificial Neural Networks (인공 신경망을 이용한 고강도강판의 V형 굽힘에서 탄성회복의 예측)

  • Ma, S.C.;Kwon, E.P.;Moon, S.D.;Choi, Y.
    • Transactions of Materials Processing
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    • v.29 no.6
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    • pp.338-346
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    • 2020
  • A V-bending test was performed in order to predict springback of high-strength steel sheets under various conditions. The results of V-Bending test were analyzed with artificial neural networks and FE-simulation, respectively, for the tool design. The results of design are discussed. The bending test result using the tool designed with artificial neural networks was about 92˚. However, the bending test result using the tool designed FE-simulation was about 94.5˚. Artificial neural networks are a useful tool along with FE-simulation in predicting springback.

Development of Determination System for Optimal Combination of Earthwork Equipments (토공사를 위한 건설장비 투입 최적 조합 산정 시스템 개발)

  • Park, Jae-Woo;Yeom, Dong-Jun
    • Journal of the Korean Society of Industry Convergence
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    • v.23 no.6_2
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    • pp.957-969
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    • 2020
  • The primary objective of this study is to develop a determination system for an optimal combination of earthwork equipment that improves the traditional way in convenience, prediction accuracy, and productivity. For this, the following research works are conducted sequentially; 1)literature review, 2)technology development trend analysis, 3)develop a determination system for the optimal combination of earthwork equipment, 4)simulation of a developed system. As a result, core considerations are deducted for the development of a determination system. Furthermore, site simulation is performed using a developed system. Site simulation result, Cluster 1(R1200LC 7㎥, CAT 775G 65ton×2) was selected from 6 clusters because of its production cost (₩491/㎥). It is expected that the application range and impact on the construction industry will be enormous due to the availability of the developed system.

Investigation of aerosol resuspension model based on random contact with rough surface

  • Liwen He;Lili Tong;Xuewu Cao
    • Nuclear Engineering and Technology
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    • v.55 no.3
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    • pp.989-998
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    • 2023
  • Under nuclear reactor severe accidents, the resuspension of radioactive aerosol may occur in the containment due to the disturbing airflow generated by hydrogen combustion, hydrogen explosion and containment depressurization resulting in the increase of radioactive source term in the containment. In this paper, for containment conditions, by considering the contact between particle and rough deposition surface, the distribution of the distance between two contact points of particle and deposition surface, rolling and lifting separation mechanism, resuspension model based on random contact with rough surface (RRCR) is established. Subsequently, the detailed torque and force analysis is carried out, which indicates that particles are more easily resuspended by rolling under low disturbing airflow velocity. The simulation result is compared with the experimental result and the prediction of different simulation methods, the RRCR model shows equivalent and better predictive ability, which can be applicable for simulation of aerosol resuspension in containment during severe accident.

Prediction of Multi-Physical Analysis Using Machine Learning (기계학습을 이용한 다중물리해석 결과 예측)

  • Lee, Keun-Myoung;Kim, Kee-Young;Oh, Ung;Yoo, Sung-kyu;Song, Byeong-Suk
    • Journal of IKEEE
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    • v.20 no.1
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    • pp.94-102
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    • 2016
  • This paper proposes a new prediction method to reduce times and labor of repetitive multi-physics simulation. To achieve exact results from the whole simulation processes, complex modeling and huge amounts of time are required. Current multi-physics analysis focuses on the simulation method itself and the simulation environment to reduce times and labor. However this paper proposes an alternative way to reduce simulation times and labor by exploiting machine learning algorithm trained with data set from simulation results. Through comparing each machine learning algorithm, Gaussian Process Regression showed the best performance with under 100 training data and how similar results can be achieved through machine-learning without a complex simulation process. Given trained machine learning algorithm, it's possible to predict the result after changing some features of the simulation model just in a few second. This new method will be helpful to effectively reduce simulation times and labor because it can predict the results before more simulation.

A Research on the LYNX-ESM System Operating and Performance Prediction Simulation Based on DEVS (이산사건 모델링 및 시뮬레이션 기반 LYNX-ESM 체계 시뮬레이션에 관한 연구)

  • Shin, Dong-Cho;Yun, Ki-Cheonn
    • Journal of the Korea Institute of Military Science and Technology
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    • v.9 no.4
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    • pp.61-70
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    • 2006
  • This paper is to describe LYNX-ESM Simulation System to simulate for EW operating environment analysis and system performance verification of LYNX-ESM system using Discrete Event Simulation(DEVS) Methodology. This system consists of 3 PC with TCP/IP network. Each PC is loaded with Modeling & Simulation program based DEVS. Each connected program conducts EW simulation. As a result, we analyze the operating environment of the maritime EW threat, simulate the EW threat discrimination and geolocation capability, and estimate the LYNX-ESM system effectiveness before real LYNX-ESM system development.

Study on Improvement of Thermal Environment by using Wind-driven Natural Ventilation on the Atrium (풍력환기에 의한 아트리움의 열환경 개선에 관한 연구)

  • Roh, Ji-Woong
    • Journal of the Korean Solar Energy Society
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    • v.32 no.1
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    • pp.40-47
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    • 2012
  • According to the advancement of computer and simulation method, it becomes possible to predict indoor climate precisely by using CFD simulation coupled with heat conduction, convection, and radiation. However, predicting the indoor climate is generally conducted by using a simplified CFD coupled simulation method since it takes quite long time to use a general CFD simulation method. In this study, a simplified CFD coupled simulation was conducted in order to find out the effect of natural ventilation by wind-driven in atrium. As a result of calculation, it was clarified that the natural ventilation driven by temperature difference was not enough to remove the accumulated heat of upper zone and the natural ventilation by wind-driven was needed. Finally, it is required to decide the window direction and size based on correct indoor climate prediction method for the effective use of natural ventilation by wind-driven.

Numerical investigation of vortex shedding and vortex-induced vibration for flexible riser models

  • Chen, Zheng-Shou;Kim, Wu-Joan
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.2 no.2
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    • pp.112-118
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    • 2010
  • The numerical study about the vortex-induced vibration and vortex shedding in the wake has been presented. Prior to the numerical simulation of flexible riser systems concerning engineering conditions, efficiency validating of the proposed FSI solution method have been performed. The comparison between numerical simulation and published experimental data shows that the CFD method designed for FSI solution could give acceptable result for the VIV prediction of flexible riser/pipe system. As meaningful study on VIV and vortex shedding mode with the focus on flexible riser model systems, two kinds of typical simulation cases have been carried out. One was related to the simulation of vortex visualization in the wake for a riser model subject to forced oscillation, and another was related to the simulation of fluid-structure interaction between the pipes of coupled multi-assembled riser system. The result from forced oscillation simulation shows that the vortex-induced vibration with high response frequency but small instantaneous vibration amplitude contributes to vortex conformation as much as the forced oscillation with large normalized amplitude does, when the frequency of forced oscillation was relatively high. In the multi-assembled riser systems, it has been found that the external current velocity and the distance between two pipes are the critical factors to determine the vibration state and the steady vibration state emerging in quad-pipe system may be destroyed more easily than dual-pipe system.