• 제목/요약/키워드: Monte-Carlo (MC)

검색결과 216건 처리시간 0.026초

Investigations on the Chain Conformation of Weakly Charged Polyelectrolyte in Solvents by Using Efficient Hybrid Molecular Simulations

  • Chun, Myung-Suk;Lee, Hyun-Su
    • Macromolecular Research
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    • 제10권6호
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    • pp.297-303
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    • 2002
  • We have investigated the microstructural properties of a weakly charged polyelectrolyte modeled with both Hookean spring and Debye-Huckel potential, by employing a novel hybrid scheme of molecular dynamics (MD) and Monte Carlo (MC) simulations. Although the off-lattice pivot step facilitates the earlier computations stage, it gives rise to oscillations and hinders the stable equilibrium state. In order to overcome this problem, we adopt the MC off-lattice pivot step in early stage only, and then switch the computation to a pure MD step. The result shows that the computational speed-up compared to the previous method is entirely above 10 to 50, without loss of the accuracy. We examined the conformations of polyelectrolyte in solvents in terms of the end-to-end distance, radius of gyration, and structure factor with variations of the screening effects of solvent and the monomer charges. The emphasis can favorably be given on the elongation behavior of a polyelectrolyte chain, with observing the simultaneous snapshots.

GEOUNED: A new conversion tool from CAD to Monte Carlo geometry

  • J.P. Catalan;P. Sauvan;J. Garcia;J. Alguacil;F. Ogando;J. Sanz
    • Nuclear Engineering and Technology
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    • 제56권6호
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    • pp.2404-2411
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    • 2024
  • The GEOUNED code is specifically designed to convert CAD models, defined using the B-rep approach, into MC radiation transport models, defined using the CSG approach, and vice versa from MC to CAD. This code incorporates standard features commonly found in conversion tools, including decomposition, conversion, and automatic void generation. Additionally, it introduces innovative features, mainly in the automatic void generation part, which are described in this article. GEOUNED has demonstrated successful application in highly detailed 3D models used in fusion neutronics, which are known for their complex geometries, particularly those utilized in ITER. The article includes examples showcasing GEOUNED's performance in these challenging models, as well as custom applications that highlight its flexibility in addressing non-standard problems. The code is open-source and utilizes Open CASCADE as the geometry engine, with FreeCAD serving as the Python API.

A cross-entropy algorithm based on Quasi-Monte Carlo estimation and its application in hull form optimization

  • Liu, Xin;Zhang, Heng;Liu, Qiang;Dong, Suzhen;Xiao, Changshi
    • 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.

Monte Carlo Based Planning System for a Beam Spoiler

  • 강세권;조병철;박희철;배훈식
    • 한국의학물리학회:학술대회논문집
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    • 한국의학물리학회 2003년도 제27회 추계학술대회
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    • pp.56-56
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    • 2003
  • For the treatment of superficial tumors like squamous cell carcinoma of the head and neck, 6 MV photon beam is not appropriate and a spoiler is widely used to increase dose in the buildup region, while preserving the skin sparing effect. However, commercially available treatment planning systems assume a normal unspoiled beam, thereby cannot predict the buildup dose with spoiler accurately. We aimed to implement a Monte Carlo (MC) based planning system to apply it to the radiation treatment of head and neck. Lucite with thickness of 10-mm was used for the beam spoiler with Siemens Primus 6 MV photon beam. BEAM/DOSXYZ MC system was employed to model the linac and the spoiler. To verify the calculation accuracy of MC simulations, the percent depth doses (PDDs) and profiles with and without spoiler were measured using a parallel-plate chamber. For the MC based planning, we adopted a hybrid interface system between Pinnacle (Philips, USA) and BEAM/DOSXYZ to support treatment parameters of Siemens linac and the spoiler. The measurements of PDDs and profiles agreed with the corresponding MC simulations within 2% (lSD), which demonstrate the reliability of our MC simulations. The spoiler generated electrons make a contribution to the absorbed dose up to depth of 2cm, which shows that the dominant source of increased dose from spoiler system is the contaminating electrons created by the spoiler. The whole procedures necessary for MC based treatment planning were performed seamlessly between Pinnacle and BEAM/DOSXYZ system. This ability helps to increase the clinical efficiency of the spoiler technique. In conclusion, we implemented a MC based treatment planning system for a 6 MV photon beam with a spoiler. We demonstrate sophisticated MC technique makes it possible to predict dose distributions around buildup region accurately.

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MCNPX 시뮬레이션을 이용한 무납 방사선 차폐 시트 기반의 공간산란 저감화 평가 (Evaluating the Reduction of Spatial Scattering based on Lead-free Radiation Shielding Sheet using MCNPX Simulation)

  • 양승우;박금별;허예지;박지군
    • 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.

Determination of Exposure during Handling of 125I Seed Using Thermoluminescent Dosimeter and Monte Carlo Method Based on Computational Phantom

  • Hosein Poorbaygi;Seyed Mostafa Salimi;Falamarz Torkzadeh;Saeid Hamidi;Shahab Sheibani
    • Journal of Radiation Protection and Research
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    • 제48권4호
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    • pp.197-203
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    • 2023
  • Background: The thermoluminescent dosimeter (TLD) and Monte Carlo (MC) dosimetry are carried out to determine the occupational dose for personnel in the handling of 125I seed sources. Materials and Methods: TLDs were placed in different layers of the Alderson-Rando phantom in the thyroid, lung and also eyes and skin surface. An 125I seed source was prepared and its activity was measured using a dose calibrator and was placed at two distances of 20 and 50 cm from the Alderson-Rando phantom. In addition, the Monte Carlo N-Particle Extended (MCNPX 2.6.0) code and a computational phantom with a lattice-based geometry were used for organ dose calculations. Results and Discussion: The comparison of TLD and MC results in the thyroid and lung is consistent. Although the relative difference of MC dosimetry to TLD for the eyes was between 4% and 13% and for the skin between 19% and 23%, because of the existence of a higher uncertainty regarding TLD positioning in the eye and skin, these inaccuracies can also be acceptable. The isodose distribution was calculated in the cross-section of the head phantom when the 125I seed was at two distances of 20 and 50 cm and it showed that the greatest dose reduction was observed for the eyes, skin, thyroid, and lungs, respectively. The results of MC dosimetry indicated that for near the head positions (distance of 20 cm) the absorbed dose rates for the eye lens, eye and skin were 78.1±2.3, 59.0±1.8, and 10.7±0.7 µGy/mCi/hr, respectively. Furthermore, we found that a 30 cm displacement for the 125I seed reduced the eye and skin doses by at least 3- and 2-fold, respectively. Conclusion: Using a computational phantom to monitor the dose to the sensitive organs (eye and skin) for personnel involved in the handling of 125I seed sources can be an accurate and inexpensive method.

An Interference Analysis Method with Site-Specific Path Loss Model for Wireless Personal Area Network

  • Moon, Hyun-Wook;Kwon, Se-Woong;Lee, Jong-Hyun;Yoon, Young-Joong
    • 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.

A new structural reliability analysis method based on PC-Kriging and adaptive sampling region

  • Yu, Zhenliang;Sun, Zhili;Guo, Fanyi;Cao, Runan;Wang, Jian
    • Structural Engineering and Mechanics
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    • 제82권3호
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    • pp.271-282
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    • 2022
  • The active learning surrogate model based on adaptive sampling strategy is increasingly popular in reliability analysis. However, most of the existing sampling strategies adopt the trial and error method to determine the size of the Monte Carlo (MC) candidate sample pool which satisfies the requirement of variation coefficient of failure probability. It will lead to a reduction in the calculation efficiency of reliability analysis. To avoid this defect, a new method for determining the optimal size of the MC candidate sample pool is proposed, and a new structural reliability analysis method combining polynomial chaos-based Kriging model (PC-Kriging) with adaptive sampling region is also proposed (PCK-ASR). Firstly, based on the lower limit of the confidence interval, a new method for estimating the optimal size of the MC candidate sample pool is proposed. Secondly, based on the upper limit of the confidence interval, an adaptive sampling region strategy similar to the radial centralized sampling method is developed. Then, the k-means++ clustering technique and the learning function LIF are used to complete the adaptive design of experiments (DoE). Finally, the effectiveness and accuracy of the PCK-ASR method are verified by three numerical examples and one practical engineering example.

Development and verification of a novel system for computed tomography scanner model construction in Monte Carlo simulations

  • Ying Liu;Ting Meng ;Haowei Zhang ;Qi Su;Hao Yan ;Heqing Lu
    • Nuclear Engineering and Technology
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    • 제54권11호
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    • pp.4244-4252
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    • 2022
  • The accuracy of Monte Carlo (MC) simulations in estimating the computed tomography radiation dose is highly dependent on the accuracy of CT scanner model. A system was developed to observe the 3D model intuitively and to calculate the X-ray energy spectrum and the bowtie (BT) filter model more accurately in Monte Carlo N-particle (MCNP). Labview's built-in Open Graphics Library (OpenGL) was used to display basic surfaces, and constructive solid geometry (CSG) method was used to realize Boolean operations. The energy spectrum was calculated by simulating the process of electronic shooting and the BT filter model was accurately modeled based on the calculated shape curve. Physical data from a study was used as an example to illustrate the accuracy of the constructed model. RMSE between the simulation and the measurement results were 0.97% and 0.74% for two filters of different shapes. It can be seen from the comparison results that to obtain an accurate CT scanner model, physical measurements should be taken as the standard. The energy spectrum library should be established based on Monte Carlo simulations with modifiable input files. It is necessary to use the three-segment splicing modeling method to construct the bowtie filter model.

Monte Carlo Simulation을 이용한 도시하천의 고수위 Rating Curve 개발 (Development of Rating Curve for High Water Level in an Urban Stream using Monte Carlo Simulation)

  • 김종석;윤선권;문영일
    • 대한토목학회논문집
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    • 제33권4호
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    • pp.1433-1446
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    • 2013
  • 본 연구에서는 도시하천을 대상으로 Monte Carlo Simulation (MCS)에 의한 모의발생 기법 적용으로 최적화된 강우-유출 모형과 홍수위 추적모형 연계를 통한 고수위 Rating Curve 작성법을 제안하였다. 대상유역의 관측 자료로부터 작성된 수위-유량곡선식은 유량측정의 오차와 더불어 고수위에 대한 불확실성을 내포하고 있음을 확인할 수 있었으며, 관측치와의 표준오차($S_e$)는 0.056으로, 무작위 불확실성($2S_{mr}$)은 평균 ${\pm}1.43%$, 최대 ${\pm}4.27%$로 분석되었다. 또한, 전대수지법과 Stevens방법에 의한 고수위 연장은 도시하천 유역 규모에 비하여 수위에 따른 홍수량이 과대 산정되는 문제점이 있는 것으로 분석되었다. 마지막으로, MCS에 의한 다량의 수문자료군 확보를 통한 수위-유량 관계곡선의 연장방법은 고수위에 대한 불확실성을 감소시켜며, 보다 신뢰성 있는 고수위 연장이 가능하였다. 향후 본 연구의 결과는 MCS에 의한 고수위 연장 시스템 구축을 통한 도시하천유역의 실시간 홍수 예 경보 활용에 적용이 가능할 것으로 사료된다.