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Quantifying Fire Model Evaluation Using Functional Analysis

Published

Author(s)

Richard D. Peacock, Paul A. Reneke, William D. Davis, Walter W. Jones

Abstract

Comparisons of predictive fire models with each other or with experimental data have been largely qualitative. By treating these time series curves as infinite-dimensional vectors, a branch of mathematics called functional analysis defines geometrically meaningful operations on the curves. This allows lengths, angles, and distance between two arbitrary curves to be defined and quantified. An introduction to the theory and tools provided by functional analysis is presented. Examples of the application of these tools to fire model evaluation are presented.
Citation
Fire Safety Journal
Volume
33

Keywords

fire models, predictive models, evaluation, computer models, computer programs, data analysis, fire research, fire tests, validation, zone models

Citation

Peacock, R. , Reneke, P. , Davis, W. and Jones, W. (1999), Quantifying Fire Model Evaluation Using Functional Analysis, Fire Safety Journal, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=913096 (Accessed February 22, 2024)
Created January 1, 1999, Updated February 19, 2017