• Nuclear Engineering and Technology
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• 제55권9호
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• pp.3450-3463
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• 2023

In the two-step analysis of Pebble-Bed type High-Temperature Gas-Cooled Reactor (PB-HTGR), the lattice physics calculation for the generation of homogenized cross-sections is based on the fuel pebble. However, the randomly-dispersed fuel particles in the fuel pebble introduce double heterogeneity and randomness. Compared to the deterministic method, the Monte Carlo method which is flexible in geometry modeling provides a high-fidelity treatment. Therefore, the Monte Carlo code NECP-MCX is extended in this study to perform the lattice physics calculation of the PB-HTGR. Firstly, the capability for the simulation of randomly-dispersed media, using the explicit modeling approach, is developed in NECP-MCX. Secondly, the capability for the generation of the homogenized cross-section is also developed in NECP-MCX. Finally, simplified PB-HTGR problems are calculated by a two-step neutronics analysis tool based on Monte Carlo homogenization. For the pebble beds mixed by fuel pebble and graphite pebble, the bias is less than 100 pcm when compared to the high-fidelity model, and the bias is increased to 269 pcm for pebble bed mixed by depleted fuel pebble. Numerical results show that the Monte Carlo lattice physics calculation for the two-step analysis of PB-HTGR is feasible.

• 콘크리트학회논문집
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• 제19권2호
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• pp.241-250
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• 2007

폭발하중을 받는 콘크리트 구조물을 섬유 복합재 등의 보강 재료를 사용하여 보강하는 경우에는 강성 증가와 함께 적절한 연성을 확보할 수 있어야 한다. 그러나, 폭발하중을 받는 구조물의 설계 및 해석에 일반적으로 사용되는 기존의 근사적이며 단순화 모델은 보강 재료에 대한 효과를 정확히 반영할 수 없을 뿐 아니라 해석 결과의 정확성 및 신뢰성에 문제가 제기되어왔다. 또한, 동적 하중에 대한 콘크리트와 철근의 응답은 정적 하중에 대한 응답과 상이하기 때문에 기존의 정적, 준정적하에서 정의된 재료물성값들을 폭발하중에 대한 응답 계산에 사용하는 것은 부적절하다. 따라서, 본 연구에서는 명시적(explicit) 해석 프로그램인 LS-DYNA를 사용하여 매우 빠른 재하속도를 갖는 폭발하중에 대하여 강도 증진 및 변형률 속도 효과가 반영된 재료 모델을 포함하고 있는 정밀 HFPB(high fidelity physics based) 유한요소해석 기법을 제시하였다. 제시된 해석적 기법을 통하여 탄소섬유 복합재와 유리섬유 복합재를 사용하여 보강된 콘크리트 벽체의 폭발하중에 대한 거동을 해석하였으며, 이를 보강하지 않은 벽체의 해석 결과와 비교함으로써 보강 성능 분석을 실시하였다. 해석 결과 보강에 따른 최대 처짐이 약 $26{\sim}28%$ 감소하는 보강 성능을 확인하였으며, 제안된 해석 기법이 보강 재료와 보강 기법의 유효성을 평가하는데 효과적으로 적용할 수 있을 것으로 판단된다.

• 천문학회보
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• 제45권1호
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• pp.68.3-69
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• 2020

We develop a series of N-body data challenges, functional to the final analysis of the extended Baryon Oscillation Spectroscopic Survey (eBOSS) Data Release 16 (DR16) galaxy sample, primarily based on high-fidelity catalogs constructed from the Outer Rim simulation. We generate synthetic galaxy mocks by populating Outer Rim halos with a variety of halo occupation distribution (HOD) schemes of increasing complexity, spanning different redshift intervals. We then assess the performance of three complementary redshift space distortion (RSD) models in configuration and Fourier space, adopted for the analysis of the complete DR16 eBOSS sample of Luminous Red Galaxies (LRGs). We find that all the methods are mutually consistent, with comparable systematic errors on the Alcock-Paczynski parameters and the growth of structure, and robust to different HOD prescriptions - thus validating the robustness of the models and the pipelines used for the baryon acoustic oscillation (BAO) and full shape clustering analysis. Our study is relevant for the final eBOSS DR16 'consensus cosmology', as the systematic error budget is informed by testing the results of analyses against these high-resolution mocks. In addition, it is also useful for future large-volume surveys, since similar mock-making techniques and systematic corrections can be readily extended to model for instance the DESI galaxy sample.

• Journal of Astronomy and Space Sciences
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• 제39권4호
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• pp.159-167
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• 2022

Because of the small number of spacecraft available in the Earth's magnetosphere at any given time, it is not possible to obtain direct measurements of the fundamental quantities, such as the magnetic field and plasma density, with a spatial coverage necessary for studying, global magnetospheric phenomena. In such cases, empirical as well as physics-based models are proven to be extremely valuable. This requires not only having high fidelity and high accuracy models, but also knowing the weakness and strength of such models. In this study, we assess the accuracy of the widely used Tsyganenko magnetic field models, T96, T01, and T04, by comparing the calculated magnetic field with the ones measured in-situ by the GOES satellites during geomagnetically disturbed times. We first set the baseline accuracy of the models from a data-model comparison during the intervals of geomagnetically quiet times. During quiet times, we find that all three models exhibit a systematic error of about 10% in the magnetic field magnitude, while the error in the field vector direction is on average less than 1%. We then assess the model accuracy by a data-model comparison during twelve geomagnetic storm events. We find that the errors in both the magnitude and the direction are well maintained at the quiet-time level throughout the storm phase, except during the main phase of the storms in which the largest error can reach 15% on average, and exceed well over 70% in the worst case. Interestingly, the largest error occurs not at the Dst minimum but 2-3 hours before the minimum. Finally, the T96 model has consistently underperformed compared to the other models, likely due to the lack of computation for the effects of ring current. However, the T96 and T01 models are accurate enough for most of the time except for highly disturbed periods.