Monte Carlo simulation tool with CAD interface

被引:0
作者
Zhukovsky, M [1 ]
Podoliako, S
Jaenisch, GR
Bellon, C
Samadurau, U
机构
[1] Keldysh Inst Appl Math, Miusskaya Sq 4, Moscow 125047, Russia
[2] Fed Inst Mat Res & Testing, D-12200 Berlin, Germany
来源
REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION, VOLS 25A AND 25B | 2006年 / 820卷
关键词
Monte Carlo simulation; radiography; CAD;
D O I
暂无
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
In radiography, irradiating the object and recording the transmitted radiation gives information about the inner structure of an object. The transmitted radiation consists of a primary and a scattered component. The Monte Carlo method allows the detailed description of the physics of radiation transport. On the other hand, it is necessary to handle complex object geometries to be able to simulate realistic inspection scenarios. Standard Monte Carlo programs like the Monte Carlo n-particle transport code MCNP (Los Alamos National Laboratories) use mainly simple geometrical forms such as parallelepipeds, ellipsoids, or planes to construct complex geometries in a proprietary way. Here a model is presented that combines the Monte Carlo method with the world of CAD. Components are described as closed triangulated surfaces using STL as exchange format, which is supported by all CAD systems. The opportunities of the presented Monte Carlo simulation tool are discussed in terms of various examples and compared to MCNP.
引用
收藏
页码:574 / 581
页数:8
相关论文
共 50 条
[41]   Monte-Carlo Simulation for Mahjong [J].
Chen, Jr-Chang ;
Tang, Shih-Chieh ;
Wu, I-Chen .
JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, 2022, 38 (04) :775-790
[42]   MONTE CARLO SIMULATION FOR SOOT DYNAMICS [J].
Zhou, Kun .
THERMAL SCIENCE, 2012, 16 (05) :1391-1394
[43]   Monte Carlo Simulation and Critical Chains [J].
Tysiak, Wolfgang .
PROCEEDINGS OF THE 2017 9TH IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT DATA ACQUISITION AND ADVANCED COMPUTING SYSTEMS: TECHNOLOGY AND APPLICATIONS (IDAACS), VOL 1, 2017, :471-474
[44]   A Brief Introduction to Monte Carlo Simulation [J].
Peter L. Bonate .
Clinical Pharmacokinetics, 2001, 40 :15-22
[45]   Monte Carlo simulation of the exposure factor [J].
Zhang Tao ;
Liu Yi-Bao ;
Yang Bo ;
Wu He-Xi ;
Gu Jin-Hu .
CHINESE PHYSICS B, 2009, 18 (06) :2217-2222
[46]   Monte Carlo simulation of the enantioseparation process [J].
Bustos, V. A. ;
Acosta, G. ;
Gomez, M. R. ;
Pereyra, V. D. .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2012, 391 (18) :4389-4396
[47]   Monte Carlo simulation of quantum noise [J].
Oriols, X .
Noise and Fluctuations, 2005, 780 :763-768
[48]   Monte Carlo simulation of microwave devices [J].
Ravaioli, U ;
Lee, CH ;
Patil, MB .
MATHEMATICAL AND COMPUTER MODELLING, 1996, 23 (8-9) :167-179
[49]   Monte Carlo simulation of polarising cavities [J].
Zsigmond, G ;
Krist, T ;
Mezei, F .
PHYSICA B-CONDENSED MATTER, 2003, 335 (1-4) :266-269
[50]   Deformation of polyethylene:: Monte Carlo simulation [J].
Ospina, SA ;
Restrepo, J ;
López, BL .
MATERIALS RESEARCH INNOVATIONS, 2003, 7 (01) :27-30