Standard Guide for Evaluating the Predictive Capability of Deterministic Fire Models

SCOPE
1.1 This guide provides a methodology for evaluating the predictive capabilities of a fire model for a specific use. The intent is to cover the whole range of deterministic numerical models which might be used in evaluating the effects of fires in and on structures.
1.2 The methodology is presented in terms of four areas of evaluation:
1.2.1 Defining the model and scenarios for which the evaluation is to be conducted,
1.2.2 Verifying the appropriateness of the theoretical basis and assumptions used in the model,
1.2.3 Verifying the mathematical and numerical robustness of the model, and
1.2.4 Quantifying the uncertainty and accuracy of the model results in predicting of the course of events in similar fire scenarios.
1.3 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 limitations prior to use.
1.4 This guide assumes understanding of the use and limitations of the model under analysis as detailed in Guide E 1895.
1.5 This fire standard cannot be used to provide quantitative measures.

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Historical
Publication Date
31-Mar-2005
Technical Committee
Current Stage
Ref Project

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ASTM E1355-05a - Standard Guide for Evaluating the Predictive Capability of Deterministic Fire Models
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An American National Standard
Designation:E1355–05a
Standard Guide for
Evaluating the Predictive Capability of Deterministic Fire
1
Models
This standard is issued under the fixed designation E1355; the number immediately following the designation indicates the year of
original adoption or, in the case of revision, the year of last revision.Anumber in parentheses indicates the year of last reapproval.A
superscript epsilon (´) indicates an editorial change since the last revision or reapproval.
1. Scope E1591 Guide for Obtaining Data for Deterministic Fire
Models
1.1 This guide provides a methodology for evaluating the
E1895 Guide for Determining Uses and Limitations of
predictive capabilities of a fire model for a specific use. The
Deterministic Fire Models
intent is to cover the whole range of deterministic numerical
2.2 International Standards Organization Standards:
modelswhichmightbeusedinevaluatingtheeffectsoffiresin
3
Guide to the Expression of Uncertainty in Measurement
and on structures.
1.2 The methodology is presented in terms of four areas of
3. Terminology
evaluation:
3.1 Definitions: For definitions of terms used in this guide
1.2.1 Defining the model and scenarios for which the
and associated with fire issues, refer to terminology contained
evaluation is to be conducted,
in Terminology E176 and ISO 13943. In case of conflict, the
1.2.2 Verifying the appropriateness of the theoretical basis
definitions given in Terminology E176 shall prevail.
and assumptions used in the model,
3.2 Definitions of Terms Specific to This Standard:
1.2.3 Verifying the mathematical and numerical robustness
3.2.1 model evaluation—the process of quantifying the
of the model, and
accuracy of chosen results from a model when applied for a
1.2.4 Quantifyingtheuncertaintyandaccuracyofthemodel
specific use.
results in predicting of the course of events in similar fire
3.2.2 model validation—the process of determining the
scenarios.
degree to which a calculation method is an accurate represen-
1.3 This standard does not purport to address all of the
tation of the real world from the perspective of the intended
safety concerns, if any, associated with its use. It is the
uses of the calculation method.
responsibility of the user of this standard to establish appro-
3.2.2.1 Discussion—The fundamental strategy of validation
priate safety and health practices and determine the applica-
is the identification and quantification of error and uncertainty
bility of regulatory limitations prior to use.
in the conceptual and computational models with respect to
1.4 This guide assumes understanding of the use and limi-
intended uses.
tationsofthemodelunderanalysisasdetailedinGuideE1895.
3.2.3 model verification—the process of determining that
1.5 Thisfirestandardcannotbeusedtoprovidequantitative
the implementation of a calculation method accurately repre-
measures.
sents the developer’s conceptual description of the calculation
2. Referenced Documents method and the solution to the calculation method.
2
3.2.3.1 Discussion—The fundamental strategy of verifica-
2.1 ASTM Standards:
tion of computational models is the identification and quanti-
E176 Terminology of Fire Standards
fication of error in the computational model and its solution.
E603 Guide for Room Fire Experiments
3.2.4 The precision of a model refers to the deterministic
E1472 Guide for Documenting Computer Software for Fire
capability of a model and its repeatability.
Models
3.2.5 The accuracy refers to how well the model replicates
the evolution of an actual fire.
1
ThisguideisunderthejurisdictionofASTMCommitteeE05onFireStandards
andisthedirectresponsibilityofSubcommitteeE05.33onFireSafetyEngineering. 4. Summary of Guide
Current edition approved April 1, 2005. Published May 2005. Originally
4.1 A recommended process for evaluating the predictive
approved in 1990. Last previous edition approved in 2005 as E1355–05. DOI:
capability of fire models is described. This process includes a
10.1520/E1355-05A.
2
For referenced ASTM standards, visit the ASTM website, www.astm.org, or
contact ASTM Customer Service at service@astm.org. For Annual Book of ASTM
3
Standards volume information, refer to the standard’s Document Summary page on Available from American National Standards Institute, 11 West 42nd Street,
the ASTM website. 13th Floor, New York, NY 10036.
Copyright © ASTM International, 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959, United States.
1

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E1355–05a
brief description of the model and the scenarios for which 5.6.1 The precision of a model refers to the deterministic
evaluation is sought. Then, methodologies for conducting an capability of a model and its repeatability.
analysis to quantify the sensitivity of model predictions to
5.6.2 The accuracy of a mode
...

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