• 제목/요약/키워드: Physics model

검색결과 1,601건 처리시간 0.027초

The optimization study of core power control based on meta-heuristic algorithm for China initiative accelerator driven subcritical system

  • Jin-Yang Li;Jun-Liang Du;Long Gu;You-Peng Zhang;Cong Lin;Yong-Quan Wang;Xing-Chen Zhou;Huan Lin
    • Nuclear Engineering and Technology
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    • 제55권2호
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    • pp.452-459
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    • 2023
  • The core power control is an important issue for the study of dynamic characteristics in China initiative accelerator driven subcritical system (CiADS), which has direct impact on the control strategy and safety analysis process. The CiADS is an experimental facility that is only controlled by the proton beam intensity without considering the control rods in the current engineering design stage. In order to get the optimized operation scheme with the stable and reliable features, the variation of beam intensity using the continuous and periodic control approaches has been adopted, and the change of collimator and the adjusting of duty ratio have been proposed in the power control process. Considering the neutronics and the thermal-hydraulics characteristics in CiADS, the physical model for the core power control has been established by means of the point reactor kinetics method and the lumped parameter method. Moreover, the multi-inputs single-output (MISO) logical structure for the power control process has been constructed using proportional integral derivative (PID) controller, and the meta-heuristic algorithm has been employed to obtain the global optimized parameters for the stable running mode without producing large perturbations. Finally, the verification and validation of the control method have been tested based on the reference scenarios in considering the disturbances of spallation neutron source and inlet temperature respectively, where all the numerical results reveal that the optimization method has satisfactory performance in the CiADS core power control scenarios.

Study on an open fuel cycle of IVG.1M research reactor operating with LEU-fuel

  • Ruslan А. Irkimbekov ;Artur S. Surayev ;Galina А. Vityuk ;Olzhas M. Zhanbolatov ;Zamanbek B. Kozhabaev;Sergey V. Bedenko ;Nima Ghal-Eh ;Alexander D. Vurim
    • Nuclear Engineering and Technology
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    • 제55권4호
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    • pp.1439-1447
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    • 2023
  • The fuel cycle characteristics of the IVG.1M reactor were studied within the framework of the research reactor conversion program to modernize the IVG.1M reactor. Optimum use of the nuclear fuel and reactor was achieved through routine methods which included partial fuel reloading combined with scheduled maintenance operations. Since, the additional problem in planning the fuel cycle of the IVG.1M reactor was the poisoning of the beryllium parts of the core, reflector, and control system. An assessment of the residual power and composition of spent fuel is necessary for the selection and justification of the technology for its subsequent management. Computational studies were performed using the MCNP6.1 program and the neutronics model of the IVG.1M reactor. The proposed scheme of annual partial fuel reloading allows for maintaining a high reactor reactivity margin, stabilizing it within 2-4 βeff for 20 years, and achieving a burnup of 9.9-10.8 MW × day/kg U in the steady state mode of fuel reloading. Spent fuel immediately after unloading from the reactor can be placed in a transport packaging cask for shipping or safely stored in dry storage at the research reactor site.

Negative Turbulent Magnetic 𝛽 Diffusivity effect in a Magnetically Forced System

  • Park, Kiwan;Cheoun, Myung-Ki
    • 천문학회보
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    • 제46권2호
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    • pp.47.3-48
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    • 2021
  • We studied the large scale dynamo process in a system forced by helical magnetic field. The dynamo process is basically nonlinear, but can be linearized with 𝛼&𝛽 coefficients and large scale magnetic field $\bar{B}$. This is very useful to the investigation of solar (stellar) dynamo. A coupled semi-analytic equations based on statistical mechanics are used to investigate the exact evolution of 𝛼&𝛽. This equation set needs only magnetic helicity ${\bar{H}}_M({\equiv}{\langle}{\bar{A}}{\cdot}{\bar{B}}{\rangle},\;{\bar{B}}={\nabla}{\times}{\bar{A}})$ and magnetic energy ${\bar{E}}_M({\equiv}{\langle}{\bar{B}}^2{\rangle}/2)$. They are fundamental physics quantities that can be obtained from the dynamo simulation or observation without any artificial modification or assumption. 𝛼 effect is thought to be related to magnetic field amplification. However, in reality the averaged 𝛼 effect decreases very quickly without a significant contribution to ${\bar{B}}$ field amplification. Conversely, 𝛽 effect contributing to the magnetic diffusion maintains a negative value, which plays a key role in the amplification with Laplacian ∇2(= - k2) for the large scale regime. In addition, negative magnetic diffusion accounts for the attenuation of plasma kinetic energy EV(= 〈 U2 〉/2) (U: plasma velocity) when the system is saturated. The negative magnetic diffusion is from the interaction of advective term - U • ∇ B from magnetic induction equation and the helical velocity field. In more detail, when 'U' is divided into the poloidal component Upol and toroidal one Utor in the absence of reflection symmetry, they interact with - B • ∇ U and - U • ∇ B from ∇ × 〈 U × B 〉 leading to 𝛼 effect and (negative) 𝛽 effect, respectively. We discussed this process using the theoretical method and intuitive field structure model supported by the simulation result.

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Development and verification of a Monte Carlo two-step method for lead-based fast reactor neutronics analysis

  • Yiwei Wu;Qufei Song;Ruixiang Wang;Yao Xiao;Hanyang Gu;Hui Guo
    • Nuclear Engineering and Technology
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    • 제55권6호
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    • pp.2112-2124
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    • 2023
  • With the rise of economic and safety standards for nuclear reactors, new concepts of Gen-IV reactors and modular reactors showed more complex designs that challenge current tools for reactor physics analysis. A Monte Carlo (MC) two-step method was proposed in this work. This calculation scheme uses the continuous-energy MC method to generate multi-group cross-sections from heterogeneous models. The multi-group MC method, which can adapt locally-heterogeneous models, is used in the core calculation step. This calculation scheme is verified using a Gen-IV modular lead-based fast reactor (LFR) benchmark case. The influence of homogenized patterns, scatter approximations, flux separable approximation, and local heterogeneity in core calculation on simulation results are investigated. Results showed that the cross-sections generated using the 3D assembly model with a locally heterogeneous representation of control rods lead to an accurate estimation with less than 270 pcm bias in core reactivity, 0.5% bias in control rod worth, and 1.5% bias on power distribution. The study verified the applicability of multi-group cross-sections generated with the MC method for LFR analysis. The study also proved the feasibility of multi-group MC in core calculation with local heterogeneity, which saves 85% time compared to the continuous-energy MC.

AHP 기법을 이용한 4차 산업혁명 기술 트렌드 분석 (Technology Trend Analysis of the 4th Industrial Revolution Using AHP)

  • 남수태;신성윤;진찬용
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2021년도 춘계학술대회
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    • pp.330-331
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    • 2021
  • 최근 제4차 산업혁명은 21세기 초부터 정보통신기술 융합기반의 초지능, 초연결 산업혁명으로 디지털 기술과 물리적, 생물학적 기술 사이의 경계가 사라지면서 융합되어 나타나는 기술혁신으로 정의되다. 디지털 기술 분야에서는 인공지능, 사물인터넷 그리고 블록체인 기술을 포함하고 있다. 물리학 기술 분야에는 로봇공학, 무인운송수단과 3D 프린팅 기술을 언급하였다. 생물학 기술 분야에서는 생명공학 및 나노기술을 두각을 나타낼 것이라고 말했다. 2016년 1월 스위스 다보스에서 개최된 세계경제포럼에서 회장인 슈밥(Klaus Schwab) 교수가 처음으로 제4차 산업혁명을 제안하였다. AHP(analytic hierarchy process) 분석기법을 적용하기 위해 1단계 요인으로는 디지털기술, 물리학기술 그리고 생물학기술으로 설계하였다. 또한 2단계 요인으로는 개념모델에서 제시된 8개 세부 서비스로 조직하였다. 따라서 분석 결과를 바탕으로 연구의 한계와 이론적 실무적 시사점을 제시하고자 한다.

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Ensembles of neural network with stochastic optimization algorithms in predicting concrete tensile strength

  • Hu, Juan;Dong, Fenghui;Qiu, Yiqi;Xi, Lei;Majdi, Ali;Ali, H. Elhosiny
    • Steel and Composite Structures
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    • 제45권2호
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    • pp.205-218
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    • 2022
  • Proper calculation of splitting tensile strength (STS) of concrete has been a crucial task, due to the wide use of concrete in the construction sector. Following many recent studies that have proposed various predictive models for this aim, this study suggests and tests the functionality of three hybrid models in predicting the STS from the characteristics of the mixture components including cement compressive strength, cement tensile strength, curing age, the maximum size of the crushed stone, stone powder content, sand fine modulus, water to binder ratio, and the ratio of sand. A multi-layer perceptron (MLP) neural network incorporates invasive weed optimization (IWO), cuttlefish optimization algorithm (CFOA), and electrostatic discharge algorithm (ESDA) which are among the newest optimization techniques. A dataset from the earlier literature is used for exploring and extrapolating the STS behavior. The results acquired from several accuracy criteria demonstrated a nice learning capability for all three hybrid models viz. IWO-MLP, CFOA-MLP, and ESDA-MLP. Also in the prediction phase, the prediction products were in a promising agreement (above 88%) with experimental results. However, a comparative look revealed the ESDA-MLP as the most accurate predictor. Considering mean absolute percentage error (MAPE) index, the error of ESDA-MLP was 9.05%, while the corresponding value for IWO-MLP and CFOA-MLP was 9.17 and 13.97%, respectively. Since the combination of MLP and ESDA can be an effective tool for optimizing the concrete mixture toward a desirable STS, the last part of this study is dedicated to extracting a predictive formula from this model.

Numerical simulation of localization of a sub-assembly with failed fuel pins in the prototype fast breeder reactor

  • Abhitab Bachchan;Puspendu Hazra;Nimala Sundaram;Subhadip Kirtan;Nakul Chaudhary;A. Riyas;K. Devan
    • Nuclear Engineering and Technology
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    • 제55권10호
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    • pp.3648-3658
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    • 2023
  • The early localization of a fuel subassembly with a failed (wet rupture) fuel pin is very important in reactors to limit the associated radiological and operational consequences. This requires a fast and reliable system for failure detection and their localization in the core. In the Prototype Fast Breeder Reactor, the system specially designed for this purpose is Failed Fuel Location Modules (FFLM) housed in the control plug region. It identifies a failed sub-assembly by detecting the presence of delayed neutrons in the sodium from a failed sub-assembly. During the commissioning phase of PFBR, it is mandatory to demonstrate the FFLM effectiveness. The paper highlights the engineering and physics design aspects of FFLM and the integrated simulation towards its function demonstration with a source assembly containing a perforated metallic fuel pin. This test pin mimics a MOX pin of 1 cm2 of geometrical defect area. At 10% power and 20% sodium flow rate, the counts rate in the BCCs of FFLM system range from 75 cps to 145 cps depending upon the position of DN source assembly. The model developed for the counts simulation is applicable to both metal and MOX pins with proper values of k-factor and escape coefficient.

Representation of Curl Exaggeration, Cohesion, Adhesion and Stiffness in Wet Curly Hair

  • Jong-Hyun Kim
    • 한국컴퓨터정보학회논문지
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    • 제28권10호
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    • pp.77-84
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    • 2023
  • 물리 기반 시뮬레이션에서 젖은 머리카락이나 털의 응집력과 뻣뻣함을 시뮬레이션 하는 것은 어려운 문제 중 하나이다. 젖은 머리카락이나 털은 끝부분이 뭉치고 뻣뻣해지는 것이 특징이며, 이는 젖은 동물의 털이나 머리카락에서 볼 수 있는 현상이다. 또한 젖은 머리카락은 고체와 상호작용을 하면 접착력이 발생하지만, 이 문제는 곱슬머리에서 힘의 분산과 균형이 달라지기 때문에 해결하기 어려워진다. 기존 방법에서는 수작업을 통해 젖은 머리를 표현하거나 정적인 헤어스타일로 젖은 곱슬머리 및 털을 표현한다. 그러나 젖은 곱슬머리의 디테일을 묘사하는 방법에 대한 연구는 아직 활발히 연구되지 않았다. 따라서 본 논문에서는 젖은 곱슬머리의 컬 과장, 응집력, 접착력 그리고 강성을 효율적으로 모델링하는 새로운 알고리즘을 제안한다. 제안하는 방법은 응집력을 효율적으로 시뮬레이션하고 강성 제약 조건을 곱슬머리 역학과 통합하여 안정적으로 모발의 탄성을 제어한다.

천문 현상들을 설명하는 예비초등 교사들의 정신모형의 구조: 계절과 달의 위상변화 (Preservice Elementary Teacher Mental Models about Astronomical Phenomena: Seasons and Moon Phases)

  • 오준영;김유신
    • 한국과학교육학회지
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    • 제26권1호
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    • pp.68-87
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    • 2006
  • 본 연구에서는 예비 초등 교사들을 대상으로 천문현상(계절 변화와 달의 위상변화)에 대한 정신모형과 그 모형에 영향을 주는 요소들을 조사하였다. 본 연구에 참여한 예비교사는 교육대학교에 재학 중인 학생이다. 자료 수집은 지필 검사와 개별 면담을 통해 이루어졌다. 연구 결과, 예비 초등 교사들은 천문현상의 설명들이 과학적 모형과는 다른 합성 정신모형들을 가지고 있었으며, '거리 이론' 과 '가리기 이론'이 그들의 정신 모형에 가장 큰 영향을 미치는 것으로 나타났다. 또한 예비 초등 교사들이 갖는 천문현상의 합성 정신모형의 구조와 근원을 알아보기 위하여 그들의 정신 모형들을 형성하는 틀 이론과 특정 이론을 집중적으로 탐색하였다. 끝으로 연구 결과와 관련된 예비 교사교육에의 시사점을 논하였다.

Microwave Radiation-Assisted Chitin Deacetylation: Optimization by Response Surface Methodology (RSM)

  • Iqmal Tahir;Karna Wijaya;Mudasir;Dita Krismayanti;Aldino Javier Saviola;Roswanira Abdul Wahab;Amalia Kurnia Amin;Wahyu Dita Saputri;Remi Ayu Pratika
    • 한국재료학회지
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    • 제34권2호
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    • pp.85-94
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    • 2024
  • The optimization of deacetylation process parameters for producing chitosan from isolated chitin shrimp shell waste was investigated using response surface methodology with central composite design (RSM-CCD). Three independent variables viz, NaOH concentration (X1), radiation power (X2), and reaction time (X3) were examined to determine their respective effects on the degree of deacetylation (DD). The DD of chitosan was also calculated using the baseline approach of the Fourier Transform Infrared (FTIR) spectra of the yields. RSM-CCD analysis showed that the optimal chitosan DD value of 96.45 % was obtained at an optimized condition of 63.41 % (w/v) NaOH concentration, 227.28 W radiation power, and 3.34 min deacetylation reaction. The DD was strongly controlled by NaOH concentration, irradiation power, and reaction duration. The coefficients of correlation were 0.257, 0.680, and 0.390, respectively. Because the procedure used microwave radiation absorption, radiation power had a substantial correlation of 0.600~0.800 compared to the two low variables, which were 0.200~0.400. This independently predicted robust quadratic model interaction has been validated for predicting the DD of chitin.