The application of a genetic algorithm to estimate fuel bed properties from bench-scale testing

Carlos Walker-Ravena; Zakary Campbell-Lochrie; Michael r. Gallagher; Nicholas s. Skowronski; Eric v. Mueller; Rory m. Hadden

doi:10.14195/978-989-26-2298-9_234

The application of a genetic algorithm to estimate fuel bed properties from bench-scale testing

Carlos Walker-Ravena, Zakary Campbell-Lochrie, Michael r. Gallagher, Nicholas s. Skowronski, Eric v. Mueller, Rory m. Hadden

School of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

A methodology based on an automated optimisation technique is applied to interrogate the relationship between fuel bed structure and effective heat transfer properties. The methodology uses optimisation of the heat equation coupled with thermogravimetric data to reproduce mass data. The mass data is provided from Fire Propagation Apparatus ignition tests conducted on pinus rigida fuel beds with solid fractions ranging from 0.03 to 0.51. The fuel bed structure is represented by the solid fraction and the effective fuel bed properties are posed as a function of the fuel bed structure. This relationship between the two is optimised using the a genetic algorithm. In this way a methodology for interrogating the relationship between the fuel bed structure and the effective properties is presented.

Original language	English
Title of host publication	Advances in Forest Fire Research 2022
Publisher	Imprensa da Universidade de Coimbra
Pages	1531-1538
ISBN (Electronic)	9789892622989
ISBN (Print)	9789892622972
DOIs	https://doi.org/10.14195/978-989-26-2298-9_234
Publication status	Published - 2022

Keywords / Materials (for Non-textual outputs)

ignition
FLAMMABILITY
porous fuels
genetic algorithm

Access to Document

10.14195/978-989-26-2298-9_234Licence: Creative Commons: Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND)

2 Chapter

Flame spread and combustion dynamics in pine litter under unsteady wind conditions
Mueller, E. V., Campbell-Lochrie, Z., Walker-Ravena, C., Patterson, M., Cole, J., Gallagher, M. R., Clark, K. L., Skowronski, N. S. & Hadden, R. M., Jan 2022, Advances in Forest Fire Research 2022. Imprensa da Universidade de Coimbra, p. 1469-1474
Research output: Chapter in Book/Report/Conference proceeding › Chapter

Open Access
The effects of fuel moisture on fire spread in shrub vegetation typical of upland heath systems in northern latitudes
Hadden, R. M., Campbell-Lochrie, Z., Koutsomarkos, V., Walker-Ravena, C., Mueller, E. V., Taylor, A. F. S. & Owen, I. J., 2022, Advances in Forest Fire Research 2022. Imprensa da Universidade de Coimbra, p. 1323-1329
Research output: Chapter in Book/Report/Conference proceeding › Chapter

Open Access

Cite this

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title = "The application of a genetic algorithm to estimate fuel bed properties from bench-scale testing",

abstract = "A methodology based on an automated optimisation technique is applied to interrogate the relationship between fuel bed structure and effective heat transfer properties. The methodology uses optimisation of the heat equation coupled with thermogravimetric data to reproduce mass data. The mass data is provided from Fire Propagation Apparatus ignition tests conducted on pinus rigida fuel beds with solid fractions ranging from 0.03 to 0.51. The fuel bed structure is represented by the solid fraction and the effective fuel bed properties are posed as a function of the fuel bed structure. This relationship between the two is optimised using the a genetic algorithm. In this way a methodology for interrogating the relationship between the fuel bed structure and the effective properties is presented.",

keywords = "ignition, FLAMMABILITY, porous fuels, genetic algorithm",

author = "Carlos Walker-Ravena and Zakary Campbell-Lochrie and Gallagher, \{Michael r.\} and Skowronski, \{Nicholas s.\} and Mueller, \{Eric v.\} and Hadden, \{Rory m.\}",

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doi = "10.14195/978-989-26-2298-9\_234",

language = "English",

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AU - Walker-Ravena, Carlos

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AU - Mueller, Eric v.

AU - Hadden, Rory m.

PY - 2022

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N2 - A methodology based on an automated optimisation technique is applied to interrogate the relationship between fuel bed structure and effective heat transfer properties. The methodology uses optimisation of the heat equation coupled with thermogravimetric data to reproduce mass data. The mass data is provided from Fire Propagation Apparatus ignition tests conducted on pinus rigida fuel beds with solid fractions ranging from 0.03 to 0.51. The fuel bed structure is represented by the solid fraction and the effective fuel bed properties are posed as a function of the fuel bed structure. This relationship between the two is optimised using the a genetic algorithm. In this way a methodology for interrogating the relationship between the fuel bed structure and the effective properties is presented.

AB - A methodology based on an automated optimisation technique is applied to interrogate the relationship between fuel bed structure and effective heat transfer properties. The methodology uses optimisation of the heat equation coupled with thermogravimetric data to reproduce mass data. The mass data is provided from Fire Propagation Apparatus ignition tests conducted on pinus rigida fuel beds with solid fractions ranging from 0.03 to 0.51. The fuel bed structure is represented by the solid fraction and the effective fuel bed properties are posed as a function of the fuel bed structure. This relationship between the two is optimised using the a genetic algorithm. In this way a methodology for interrogating the relationship between the fuel bed structure and the effective properties is presented.

KW - ignition

KW - FLAMMABILITY

KW - porous fuels

KW - genetic algorithm

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BT - Advances in Forest Fire Research 2022

PB - Imprensa da Universidade de Coimbra

ER -

The application of a genetic algorithm to estimate fuel bed properties from bench-scale testing

Abstract

Keywords / Materials (for Non-textual outputs)

Access to Document

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Research output

Flame spread and combustion dynamics in pine litter under unsteady wind conditions

The effects of fuel moisture on fire spread in shrub vegetation typical of upland heath systems in northern latitudes

Cite this