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  • ASTM
    E2232-02 Standard Guide for Selection and Use of Mathematical Methods for Calculating Absorbed Dose in Radiation Processing Applications
    Edition: 2002
    $113.57
    Unlimited Users per year

Description of ASTM-E2232 2002

ASTM E2232-02

Historical Standard: ASTM E2232-02 Standard Guide for Selection and Use of Mathematical Methods for Calculating Absorbed Dose in Radiation Processing Applications

SUPERSEDED (see Active link, below)




ASTM E2232

1. Scope

1.1 This guide describes different mathematical methods that may be used to calculate absorbed dose and criteria for their selection. Absorbed dose calculations determine the effectiveness of the radiation process, estimate the absorbed-dose distribution in product, or supplement and/or complement dosimetry measurements.

1.2 Radiation processing is an evolving field and annotated examples are provided in to illustrate the applications where mathematical methods have been successfully applied. While not limited by the applications cited in these examples, applications specific to neutron transport, radiation therapy and shielding design are not addressed in this document.

1.3 This guide covers the calculation of radiation transport of electrons and photons in the energy range of 0.1 to 25 MeV.

1.4 The mathematical methods described include Monte Carlo, point kernel, discrete ordinate, semi-empirical and empirical methods.

1.5 General purpose software packages are available for the calculation of the transport of charged and/or neutral particles and photons from various types of sources of ionizing radiation. This standard is limited to the use of these software packages or other mathematical methods for the determination of spatial dose distributions for photons emitted following the decay of 137 Cs or 60 Co, energetic electrons from particle accelerators, or bremsstrahlung generated by electron accelerators.

1.6 This guide assists the user in determining if mathematical methods are a useful tool. This guide may assist the user in selecting an appropriate method for calculating absorbed dose.

Note 1The user is urged to apply these predictive techniques while being aware of the need for experience and also the inherent limitations of both the method and the available software. Information pertaining to availability and updates to codes for modeling radiation transport, courses, workshops and meetings can be found in . For a basic understanding of radiation physics and a brief overview of method selection, refer to .

1.7 This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety and health practices and determine the applicability of regulatory requirements prior to use.


2. Referenced Documents (purchase separately) The documents listed below are referenced within the subject standard but are not provided as part of the standard.

ASTM Standards

E170 Terminology Relating to Radiation Measurements and Dosimetry

E482 Guide for Application of Neutron Transport Methods for Reactor Vessel Surveillance, E706 (IID)

International Commission on Radiation Units and Measurements Reports

ICRUReport80 Dosimetry Systems for Use in Radiation Processing

United States National Institute of Standards and Technology

NISTTechnicalNote129 Guidelines for Evaluating and Expressing the Uncertainty of NIST Measurement Results

Keywords

benchmarking; deterministic method; discrete ordinates; empirical method; mathematical models; modeling; modelling; Monte Carlo; point kernel; radiation processing; radiation transport; stochastic; validation; verification; Benchmark processing/testing; Discrete ordinates; Empirical knowledge; Mathematical models/modeling; Models/modeling--environmental; Monte Carlo method; Point kernel; Radiation exposure--nuclear materials/applications; Radiation processing; Stochastic modeling ;


ICS Code

ICS Number Code 07.020 (Mathematics); 17.240 (Radiation measurements)


DOI: 10.1520/E2232-02

ASTM International is a member of CrossRef.


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