• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2001년도 춘계학술대회 논문집
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• pp.667-670
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• 2001

For major structural components periodic inspections and integrity assessments are needed for the safety. However, many flaws are undetectable because sampling inspection is carried out during in-service inspection. Probabilistic integrity assessment is applied to take into consideration of uncertainty and variance of input parameters arise due to material properties and undetectable cracks. This paper describes a Probabilistic Fracture Mechanics(PEM) analysis based on the Monte Carlo(MC) algorithms. Taking a number of sampling data of probabilistic variables such as fracture toughness value, crack depth and aspect ratio of an initial surface crack, a MC simulation of failure judgement of samples is performed. For the verification of this analysis, a comparison study of th PFM analysis using a commercial code, mathematical method is carried out and a good agreement was observed between those results.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2001년도 춘계학술대회논문집A
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• pp.459-464
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• 2001

For major nuclear power plant components periodic inspections and integrity assessments are needed for the safety. But many flaws are undetectable due to sampling inspection. Probabilistic integrity assessment is applied to take into consideration of uncertainty and variance of input parameters arise due to material properties, applied load and undetectable flaws. This paper describes a Probabilistic Fracture Mechanics(PFM) analysis based on Monte Carlo(MC) algorithms. Taking important parameters as probabilistic variables such as fracture toughness, crack growth rate and flaw shape, failure probability of major nuclear power plant components is archived as a results of MC simulation. For the verification of these analysis, a comparison study of the PFM analysis using other commercial code, mathematical method is carried out and a good agreement was observed between those results.

• Nuclear Engineering and Technology
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• 제54권10호
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• pp.3803-3810
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• 2022

OpenMC is a community-driven open-source Monte Carlo neutron and photon transport simulation code. The Weight Window Mesh (WWM) function and an automatic Global Variance Reduction (GVR) method was recently developed and implemented in a developmental branch of OpenMC. This WWM function and GVR method broaden OpenMC's usage in general purposes deep penetration shielding calculations. However, the Local Variance Reduction (LVR) method, which suits the source-detector problem, is still missing in OpenMC. In this work, the Weight Window Generator (WWG) function has been developed and benchmarked for the same branch. This WWG function allows OpenMC to generate the WWM for the source-detector problem on its own. Single-material cases with varying shielding and sources were used to benchmark the WWG function and investigate how to set up the particle histories utilized in WWG-run and WWM-run. Results show that there is a maximum improvement of WWM generated by WWG. Based on the above results, instructions on determining the particle histories utilized in WWG-run and WWM-run for optimal computation efficiency are given and tested with a few multi-material cases. These benchmarks demonstrate the ability of the OpenMC WWG function and the above instructions for the source-detector problem. This developmental branch will be released and merged into the main distribution in the future.

• 한국분말재료학회지
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• 제5권4호
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• pp.324-328
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• 1998

This paper is aimed to study the computer simulation of sintering process for ceramics by Monte Carlo and molecular dynamics methods. Plural mechanisms of mass transfer were designed in the MC simulation of sintering process for micron size particles; the transfer of pore lattices for shrinkage and the transfer of solid lattices for grain growth ran in the calculation arrays. The MD simulation was performed in the case of nano size particles of ionic ceramics and showed the characteristic features in sintering process at atomic levels. The MC and MD simulations for sintering process are useful for microstructural design for ceramics.

• Journal of electromagnetic engineering and science
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• 제10권4호
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• pp.290-295
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• 2010

In this paper, an interference analysis method with a site-specific path loss model for a wireless personal area network (WPAN) is proposed. The site-specific path loss model is based on geometrical optics and geometric probability to consider both site-specific radio propagation characteristics and a closed-form expression to obtain the mean interference from which the uniformly distributed multiple interferers are derived. Therefore, the proposed interference analysis method can achieve more computational simplicity than the Monte-Carlo (MC) simulation, which uses the ray-tracing (RT) technique. In addition, better accuracy than the conventional interference analysis model that uses stochastic method can also be achieved. To evaluate the proposed method, a signal to the interference-noise ratio with a mean interference concept for uniformly distributed interferers is calculated and compared in two simulation scenarios. As a result, the proposed method produces not only better matched results with the MC simulation using the RT technique than the conventional interference analysis model, but also simpler and faster calculation, which is due to the site-specific path loss model and closed-form expression for interference calculation.

• 한국방사선학회논문지
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• 제14권4호
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• pp.367-373
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• 2020

물체와 X선의 상호작용로 발생하는 산란선으로 야기되는 공간 산란선량은 대부분이 저에너지 영역의 전자기파로 인체에 비교적 쉽게 흡수되어 방사선 피폭정도가 증가하게 된다. 이러한 공간 산란 선량은 방사선작업 종사자 및 환자의 방사선 피폭 정도 지표로도 사용되고 있으며 간접적으로 발생하는 공간 산란 선량을 줄여 피폭을 저감화하기 위한 방안의 필요성이 마련될 필요성이 있다. 이에 본 연구에서는 공간산란 선량을 저감화 방안으로 무납 방사선 차폐 시트를 제시하였고 가슴 X선 촬영검사를 기준으로 몬테카를로(MC; Monte Carlo) 시뮬레이션을 수행하여 거리 변화에 따른 갑상샘과 생식선 위치에서 흡수되는 산란선의 흡수선량을 산출하였고 실측치와 차폐율을 비교 평가하였다.

• International Journal of Naval Architecture and Ocean Engineering
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• 제13권1호
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• pp.115-125
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• 2021

Simulation-based hull form optimization is a typical HEB (high-dimensional, expensive computationally, black-box) problem. Conventional optimization algorithms easily fall into the "curse of dimensionality" when dealing with HEB problems. A recently proposed Cross-Entropy (CE) optimization algorithm is an advanced stochastic optimization algorithm based on a probability model, which has the potential to deal with high-dimensional optimization problems. Currently, the CE algorithm is still in the theoretical research stage and rarely applied to actual engineering optimization. One reason is that the Monte Carlo (MC) method is used to estimate the high-dimensional integrals in parameter update, leading to a large sample size. This paper proposes an improved CE algorithm based on quasi-Monte Carlo (QMC) estimation using high-dimensional truncated Sobol subsequence, referred to as the QMC-CE algorithm. The optimization performance of the proposed algorithm is better than that of the original CE algorithm. With a set of identical control parameters, the tests on six standard test functions and a hull form optimization problem show that the proposed algorithm not only has faster convergence but can also apply to complex simulation optimization problems.

• 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.

• 한국콘텐츠학회논문지
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• 제13권4호
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• pp.53-63
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• 2013

본 논문은 효율적인 몬테 칼로 시뮬레이션을 위하여 중요 샘플링(Importance sampling) 기법이 내장된 실험 틀을 제안한다. 제안하는 실험 틀은 중요 샘플링 기법을 적용하기 위해 기능적으로 세분화된 중요 표본기(Importance Sampler)와 편향 보상기(Bias Compensator)라는 두 개의 하위 모델을 내장(Embedded)한다. 이러한 하위 모델은 기존의 시스템 모델과 실험 틀의 경계에 플러그인 됨으로써 기존 모델들의 수정없이 재사용할 수 있는 장점이 있다. 그리고 제안하는 실험 틀은 기능적 측면에서 중요 사건에 대하여 동일한 수준의 결과를 얻는 데 있어 기존의 몬테 칼로 시뮬레이션보다 시뮬레이션 시간을 단축시킬 수 있다. 이러한 효용성을 입증하기 위해 두 가지 실험을 수행하였는데, 실험 결과, 본 실험에 대하여 기존의 몬테칼로 시뮬레이션보다 최대 400 배 가량의 시뮬레이션 시간 측면에서 성능 향상을 확인하였다. 본 논문에서 제안하는 실험 틀은 다양한 콘텐츠 분야에 적용되어 시뮬레이션 성능을 향상시킬 수 있는 도구로 활용할 수 있을 뿐 아니라, 교육적 측면에서 다양한 사회 현상을 이해하고 해석하는 도구로도 활용이 가능하다.

• 한국의학물리학회지:의학물리
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• 제18권3호
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• pp.126-133
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• 2007

세기조절방사선치료(Intensity modulated radiation therapy, IMRT) 선량의 정확도를 원격으로 점검할 수 있는 시스템 구축을 목적으로, 두경부용 팬텀을 제작하였다. 팬텀은 공기 및 뼈 구조물의 교체 장착을 통해, 균질 혹은 비균질 팬텀으로 이용할 수 있다. 일차적으로 단일 빔 및 세 빔의 조사에 대한 몬테칼로(Monte Carlo, MC) 전산모사를 시행하고, 이온 전리함 및 열형광선량계(thermoluminescent dosimeter, TLD)를 이용한 측정과 비교하였다. TLD의 판독은 독립된 두 기관에서 수행하였다. 단일 빔의 경우, 균질 및 비균질 팬텀에 대한 이온 전리함 측정 결과는 MC전산모사 결과와 대체로 2% 수준에서 일치하였으며, TLD 의 경우에는 기관에 따라 2% 혹은 7%수준의 차이를 보였다. 세 빔을 이용한 비교의 경우에는, 이온 전리함은 -5% 수준, TLD의 경우에는 $+2{\sim}+3%$ 수준의 차이를 보였다. 원격 선량 검증을 위해서는 TLD 판독의 신뢰도 향상이 필요한 것으로 판단되었다. MC 전산모사는 새로운 팬텀 개발 시에, 선량 측정값의 신뢰도 확보에 이용될 수 있다.