• 제목/요약/키워드: Physics-based modeling

검색결과 174건 처리시간 0.026초

Enhanced mass balance Tafel slope model for computer based FEM computation of corrosion rate of steel reinforced concrete coupled with CO2 transport

  • Hussain, Raja Rizwan
    • Computers and Concrete
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    • 제8권2호
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    • pp.177-192
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    • 2011
  • This research paper aims at computer based modeling of carbonation induced corrosion under extreme conditions and its experimental verification by incorporating enhanced electrochemical and mass balance equations based on thermo-hygro physics with strong coupling of mass transport and equilibrium in micro-pore structure of carbonated concrete for which the previous research data is limited. In this paper the carbonation induced electrochemical corrosion model is developed and coupled with carbon dioxide transport computational model by the use of a concrete durability computer based model DuCOM developed by our research group at concrete laboratory in the University of Tokyo and its reliability is checked in the light of experiment results of carbonation induced corrosion mass loss obtained in this research. The comparison of model analysis and experiment results shows a fair agreement. The carbonation induced corrosion model computation reasonably predicts the quantitative behavior of corrosion rate for normal air dry relative humidity conditions. The computational model developed also shows fair qualitative corrosion rate simulation and analysis for various pH levels and coupled environmental actions of chloride and carbonation. Detailed verification of the model for the quantitative carbonation induced corrosion rate computation under varying relative conditions, different pH levels and combined effects of carbonation and chloride attack remain as scope for future research.

통합 교전 시뮬레이터 환경에서 다기능 레이다 탐지/추적 성능 모의를 위한 고해상도 레이다 모델 (High Resolution Radar Model to Simulate Detection/Tracking Performance of Multi-Function Radar in War Game Simulator)

  • 임재원;오수현;고일석
    • 한국전자파학회논문지
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    • 제30권1호
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    • pp.70-78
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    • 2019
  • 본 논문에서 통합 전장 시뮬레이터 환경인 AddSIM에서 레이다 동작을 모의하기 위한 고해상도 다기능 레이다의 모델링을 제안한다. 다기능 레이다 모델을 AddSIM에 연동하기 위해, 모델링은 물리부, 논리부, 정보부로 구성된 컴포넌트 기반의 구조를 가져야 한다. 이를 위해, 레이다의 RF 하드웨어부를 물리부로, 제어부를 논리부로, 레이다의 RF 제원을 정보부로 각각 분리한다. 레이다의 물리부/논리부에 대한 세부 모델링 방법을 기술하며, 공학급 레벨의 시뮬레이션을 위한 데이터 구조 또한 제시한다. 다중 표적이 교전하는 시나리오에서 다기능 레이다의 성능이 수치적으로 분석하며 제안된 모델에 대한 타당성을 검증한다.

Effects of the Sheath on Determination of the Plasma Density of Microwave Probe

  • Kim, Dae-Woong;You, Shin-Jae;Na, Byung-Keun;You, Kwang-Ho;Kim, Jung-Hyung;Chang, Hong-Young
    • 한국진공학회:학술대회논문집
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    • 한국진공학회 2012년도 제42회 동계 정기 학술대회 초록집
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    • pp.181-181
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    • 2012
  • The microwave probe for measuring plasma density is widely used for its advantages: First, it is not affected by the reactive gas. Second, it can measure local plasma parameters such as plasma density, plasma potential and plasma temperature. Third, it is simple and robust. A cut-off probe is the one of the most promising microwave probe. Recently, Kim et al. reveals the physics of the cut-off probe but the effect of the sheath on the determination of the plasma density is not explained. In this presentation, for taking account of sheath effects on determination of plasma density from the cut-off peak, a simplified circuit modeling and an E/M simulation are conducted. The results show that occupation ratio of sheath volume between two tips of the cut-off probe and subsequence pressure condition mainly change position of the cut-off peak with respect to plasma frequency. Magnitude of relative voltage taken on the impedance of sheath and the impedance of bulk plasma can explain this effect. Furthermore, effects of gap size, tip radius, and tip length ware revealed based on above analysis.

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가상현실을 이용한 구조설계 시스템의 학습효과에 관한 연구 - 구조 요소의 데이터베이스 구축방법에 관하여 - (A Study on the Effects of Virtural Learning in Structural Design - Constructing Databse of Structural Component based on the virtual Reality Engine -)

  • 김한중
    • 한국농공학회논문집
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    • 제54권3호
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    • pp.81-89
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    • 2012
  • This paper presents a set of controlled simulated statical and engineering mechanical experiments accessible via the virtual world environment (VWE) and virtual physics lab S/W. Online courses of the university offering courses and/or programs online are growing and the number of students want education in ways which fit their personal places, e-learning is becoming more important and ubiquitous each year. In this study, first of all, question is rather 'How do we execute the learning effectiveness of e-learning courses?' than 'Why does they need e-learnig or VW-learning?'. In particular, is it possible to effectively teach mechanical engineering courses online? The answer was 'No'. So, there is little research on many of these questions. And another important question is 'Is e-learning cost effective?'. For the answer, This research provided that an instructional design model is used to 'How to think and apply the Newtonian forces' in the virtual physics lab S/W. Collected data from student are administered in the spring semester when students studied 'Introduction to Bio-resources and Systems Engineering'. Results show that a cadre of students can take highly interactively physical properties of mechanical engineering in the virtual laboratory environment. Those show that VWE is greater than that of a similar real world presentation or experimental lab, since most of students are delighted to modify and retry modeling works in the VWE.

A comparative study on applicability and efficiency of machine learning algorithms for modeling gamma-ray shielding behaviors

  • Bilmez, Bayram;Toker, Ozan;Alp, Selcuk;Oz, Ersoy;Icelli, Orhan
    • Nuclear Engineering and Technology
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    • 제54권1호
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    • pp.310-317
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    • 2022
  • The mass attenuation coefficient is the primary physical parameter to model narrow beam gamma-ray attenuation. A new machine learning based approach is proposed to model gamma-ray shielding behavior of composites alternative to theoretical calculations. Two fuzzy logic algorithms and a neural network algorithm were trained and tested with different mixture ratios of vanadium slag/epoxy resin/antimony in the 0.05 MeV-2 MeV energy range. Two of the algorithms showed excellent agreement with testing data after optimizing adjustable parameters, with root mean squared error (RMSE) values down to 0.0001. Those results are remarkable because mass attenuation coefficients are often presented with four significant figures. Different training data sizes were tried to determine the least number of data points required to train sufficient models. Data set size more than 1000 is seen to be required to model in above 0.05 MeV energy. Below this energy, more data points with finer energy resolution might be required. Neuro-fuzzy models were three times faster to train than neural network models, while neural network models depicted low RMSE. Fuzzy logic algorithms are overlooked in complex function approximation, yet grid partitioned fuzzy algorithms showed excellent calculation efficiency and good convergence in predicting mass attenuation coefficient.

MIT PEBBLE BED REACTOR PROJECT

  • Kadak, Andrew C.
    • Nuclear Engineering and Technology
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    • 제39권2호
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    • pp.95-102
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    • 2007
  • The conceptual design of the MIT modular pebble bed reactor is described. This reactor plant is a 250 Mwth, 120 Mwe indirect cycle plant that is designed to be deployed in the near term using demonstrated helium system components. The primary system is a conventional pebble bed reactor with a dynamic central column with an outlet temperature of 900 C providing helium to an intermediate helium to helium heat exchanger (IHX). The outlet of the IHX is input to a three shaft horizontal Brayton Cycle power conversion system. The design constraint used in sizing the plant is based on a factory modularity principle which allows the plant to be assembled 'Lego' style instead of constructed piece by piece. This principle employs space frames which contain the power conversion system that permits the Lego-like modules to be shipped by truck or train to sites. This paper also describes the research that has been conducted at MIT since 1998 on fuel modeling, silver leakage from coated fuel particles, dynamic simulation, MCNP reactor physics modeling and air ingress analysis.

전기자동차 배터리 시스템 개발을 위한 전산설계기술 (Computational Design of Battery System for Automotive Applications)

  • 정승훈
    • 융복합기술연구소 논문집
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    • 제10권1호
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    • pp.37-40
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    • 2020
  • Automotive battery system consists of various components such as battery cells, mechanical structures, cooling system, and control system. Recently, various computational technologies are required to develop an automotive battery system. Physics-based cell modeling is used for designing a new battery cell by conducting optimization of material selection and composition in electrodes. Structural analysis plays an important role in designing a protective system of battery system from mechanical shock and vibration. Thermal modeling is used in development of thermal management system to maintain the temperature of battery cells in safe range. Finally, vehicle simulation is conducted to validate the performance of electric vehicle with the developed battery system.

Characteristics of HOMO and LUMO Potentials by Altering Substituents: Computational and Electrochemical Determination

  • Kim, Young-Sung;Kim, Sung-Hoon;Kim, Tae-Kyung;Son, Young-A
    • 한국염색가공학회지
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    • 제20권5호
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    • pp.41-46
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    • 2008
  • Recently, computational calculation of molecular energy potentials and electrochemical reduction/oxidation behaviors are of very importance in view point of prediction of dye's properties such as energy levels and bandgaps of absorption. This can be influenced by their different constituents or substituents in chromogen molecules. Structural conformations and properties with computational modeling calculation are numerically simulated, which are fully or partly based on fundamental laws of physics. In addition, cyclic voltammetric measurement was used to obtain the experimental redox potential values, which were compared to the computed simulation values.

이종접합 바이폴라 트랜지스터에 관한 소신호 등가회로의 정확한 모델링 (Accurate modeling of small-signal equivalent circuit for heterojunction bipolar transistors)

  • 이성현
    • 전자공학회논문지A
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    • 제33A권7호
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    • pp.156-161
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    • 1996
  • Accurate equivalent circuit modeling using multi-circuit optimization has been perfomred for detemining small-signal model of AlGaAs/GaAs HBTs. Three equivalent circuits for a cutoff biasing and two active biasing at different curretns are optimized simultaneously to fit gheir S parameters under the physics-based constrain that current-dependent elements for one of active circuits are connected to those for another circit multiplied by the ratio of two currents. The cutoff mode circuit and the physical constrain give the advantage of extracting physically acceptable parameters, because the number of unknown variables. After this optimization, three ses of optimized model S-parameters agree well with their measured S-parameters from 0.045 GHz to 26.5GHz.

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A New I-V Equation for Thin Film Transistors and Its Parameter Extraction Method

  • Jung, Keum-Dong;Kim, Yoo-Chul;Park, Byung-Gook;Shin, Hyung-Cheol;Lee, Jong-Duk
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2008년도 International Meeting on Information Display
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    • pp.201-204
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    • 2008
  • Based on the device physics, a new I-V equation for TFTs is derived and a simple parameter extraction method is suggested. The new method gives more physically meaningful threshold voltage and mobility, and the obtained values can be directly used for the TFT device modeling.

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