Development of a Multiple Perturbation Monte Carlo Methods for Criticality Problems and Implementation on Parallel Processors

نویسندگان

  • Amitava Majumdar
  • William R. Martin
چکیده

Monte Carlo correlated sampling technique has been combined with the ssion matrix method to calculate reactivity perturbations due to small changes in cross-sections. The actual Monte Carlo simulation is done in a reference system diierent from both the unper-turbed and perturbed systems. This approach allows to correlated the unperturbed system and multiple perturbed systems to the reference system. Hence it is possible to determine multiple reactivities due to multiple cross-section perturbations from a single Monte Carlo simulation. This method has been tested for one energy group isotropic scattering problems. We have also implemented the ssion matrix algorithm for eigenvalue calculation and the multiple reactivity calculation algorithm on the IBM-SP2 parallel processor. Speedup performances from the IBM-SP2 parallel computer are presented and a theoretical model is used to predict the speedup curves.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Parallel Fission Bank Algorithms in Monte Carlo Criticality Calculations

In this work, we describe a new method for parallelizing the source iterations in a Monte Carlo criticality calculation. Instead of having one global fission bank that needs to be synchronized as is traditionally done, our method has each processor keep track of a local fission bank while still preserving reproducibility. In doing so, it is required to send only a limited set of fission bank si...

متن کامل

Hybrid and Parallel Domain-Decomposition Methods Development to Enable Monte Carlo for Reactor Analyses

This paper describes code and methods development at the Oak Ridge National Laboratory focused on enabling high-fidelity, large-scale reactor analyses with Monte Carlo (MC). Current state-of-the-art tools and methods used to perform “real” commercial reactor analyses have several undesirable features, the most significant of which is the non-rigorous spatial decomposition scheme. Monte Carlo me...

متن کامل

Monte Carlo Simulation to Compare Markovian and Neural Network Models for Reliability Assessment in Multiple AGV Manufacturing System

We compare two approaches for a Markovian model in flexible manufacturing systems (FMSs) using Monte Carlo simulation. The model which is a development of Fazlollahtabar and Saidi-Mehrabad (2013), considers two features of automated flexible manufacturing systems equipped with automated guided vehicle (AGV) namely, the reliability of machines and the reliability of AGVs in a multiple AGV jobsho...

متن کامل

Development and implementation of a Monte Carlo frame work for evaluation of patient specific out- of - field organ equivalent dose

Background: The aim of this study was to develop and implement a Monte Carlo framework for evaluation of patient specific out-of-field organ equivalent dose (OED). Materials and Methods: Dose calculations were performed using a Monte Carlo-based model of Oncor linac and tomographic phantoms. Monte Carlo simulations were performed using EGSnrc user codes. Dose measurements were performed using r...

متن کامل

Massively Parallel Monte Carlo Tree Search

Monte Carlo Tree Search is a method of finding near-optimal solutions for large state-space problems. Currently, is it very important to develop algorithms being able to take advantage of great number of processors in such areas. In this paper MCTS parallel implementations for thousand of cores are presented and discussed. The MCTS parallelization method used is the root parallelization. Implem...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1996