MCDET: A probabilistic dynamics method combining Monte Carlo simulation with the discrete dynamic event tree approach

Kloos M; Peschke J

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MCDET: A probabilistic dynamics method combining Monte Carlo simulation with the discrete dynamic event tree approach

机译：MCDET：一种概率动力学方法，将蒙特卡洛模拟与离散动态事件树方法相结合

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摘要

The MCDET method for probabilistic dynamics is a combination of Monte Carlo (MC) simulation and the Discrete Dynamic Event Tree (DDET) approach. The implementation of MCDET works in tandem with any appropriate deterministic dynamics code.

机译：用于概率动力学的MCDET方法是蒙特卡罗（MC）模拟和离散动态事件树（DDET）方法的组合。 MCDET的实现与任何适当的确定性动力学代码协同工作。

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来源
《Nuclear science and engineering》 |2006年第2期|p. 137-156|共20页
作者
Kloos M; Peschke J;
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作者单位

Gesell Anlagen & Reaktorsicherheit mbH, D-85748 Garching, Germany;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
原文格式 PDF
正文语种 eng
中图分类原子能技术;
关键词
RISK-ASSESSMENT; RELIABILITY-ANALYSIS; SYSTEMS;

机译：风险评估;可靠性分析;系统;
入库时间 2022-08-18 00:44:45

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1. Consideration of human actions in combination with the probabilistic dynamics method Monte Carlo dynamic event tree [J] . M Kloos, J Peschke Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability . 2008,第3期

机译：结合概率动力学方法蒙特卡洛动态事件树考虑人类行为
2. Consideration of human actions in combination with the probabilistic dynamics method Monte Carlo dynamic event tree [J] . M. Kloos, J. Peschke Proceedings of the Institution of Mechanical Engineers, Part O. Journal of Risk and Reliability . 2008,第o3期

机译：结合概率动力学方法蒙特卡洛动态事件树考虑人类行为
3. Quantitative Analysis of Dynamic Fault Trees by means of Monte Carlo Simulations: Event-Driven Simulation Approach [J] . Gascard Eric, Simeu-Abazi Zineb Reliability Engineering & System Safety . 2018,第DECa期

机译：动态故障树的蒙特卡洛仿真定量分析：事件驱动仿真方法
4. A COMPARISON OF PROBABILISTIC-MONTE CARLO AND FUZZY-MONTE CARLO SIMULATION APPROACHES FOR DYNAMIC FAULT TREE: CASE OF RENEWABLE POWER SYSTEMS [C] . Jafar Asghari, Mohammad Pourgol Mohammad International Mechanical Engineering Congress and Exposition . 2020

机译：动态故障树的概率蒙特卡罗和模糊蒙特卡罗模拟方法的比较：可再生电力系统的情况
5. Multiple-scale methods in Monte Carlo and Langevin dynamics simulations for sampling the conformational space of condensed-phase systems. [D] . Bernacki, Katarzyna. 2002

机译：蒙特卡洛和朗格文动力学模拟中的多尺度方法，用于对凝聚相系统的构象空间进行采样。
6. Impact of Ribosomal Modification on the Binding of the Antibiotic Telithromycin Using a Combined Grand Canonical Monte Carlo/Molecular Dynamics Simulation Approach [O] . Meagan C. Small, Pedro Lopes, Rodrigo B. Andrade, 2013

机译：核糖体修饰对抗生素Telithromycin结合的影响使用大正则蒙特卡罗/分子动力学模拟方法相结合
7. The thermodynamic changes that occur upon mixing five models of formamide and three models of water, including the miscibility of these model combinations itself, is studied by performing Monte Carlo computer simulations using an appropriately chosen thermodynamic cycle and the method of thermodynamic integration. The results show that the mixing of these two components is close to the ideal mixing, as both the energy and entropy of mixing turn out to be rather close to the ideal term in the entire composition range. Concerning the energy of mixing, the OPLS/AA-mod model of formamide behaves in a qualitatively different way than the other models considered. Thus, this model results in negative, while the other ones in positive energy of mixing values in combination with all three water models considered. Experimental data supports this latter behavior. Although the Helmholtz free energy of mixing always turns out to be negative in the entire composition range, the majority of the model combinations tested either show limited miscibility, or, at least, approach the miscibility limit very closely in certain compositions. Concerning both the miscibility and the energy of mixing of these model combinations, we recommend the use of the combination of the CHARMM formamide and TIP4P water models in simulations of water-formamide mixtures. [O] . Kiss, Bálint, Fábián, Balázs, Idrissi, Abdenacer, 2017

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8. Epitaxial growth simulation employing a combined molecular dynamics and Monte Carlo approach [R] . Grein, C. H. , Benedek, R. , Rubia, T. 1995

机译：采用组合分子动力学和蒙特卡罗方法的外延生长模拟

MCDET: A probabilistic dynamics method combining Monte Carlo simulation with the discrete dynamic event tree approach

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