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A multiscale model for wood combustion

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

29 Downloads (CityUHK Scholars)

Abstract

Understanding wood combustion has become increasingly critical as fire safety engineering moves toward a performance-based approach to building design. Although different kinetic models have been developed for wood burning, chemical kinetics remains a significant challenge for accurate prediction. This work has developed a novel multiscale model by implementing kinetic parameters calculated from molecular dynamics simulations using reactive forcefield into a kinetic model of wood burning. The calculated kinetic parameters of the main components in wood, namely, cellulose, hemicellulose, and lignin, are first utilized to model microscale thermogravimetric experiments for validation. Subsequently, the mesoscale and full-scale fire tests have been simulated by the multiscale model. Furthermore, the fire properties of various wood species at different heat fluxes have been predicted and compared with results from the cone calorimeter test. Our multiscale model outperforms existing kinetic models in predicting wood combustion and can effectively discern the influence of chemical components on fire properties. © 2024 The Authors. Computer-Aided Civil and Infrastructure Engineering published by Wiley Periodicals LLC on behalf of Editor.
Original languageEnglish
Pages (from-to)2903-2916
JournalComputer-Aided Civil and Infrastructure Engineering
Volume39
Issue number19
Online published7 Mar 2024
DOIs
Publication statusPublished - Oct 2024

Funding

This work was supported by grants from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. CityU 11209418), the Natural Science Foundation of Hubei Province (Project No. 2021CFB137), and the Fundamental Research Funds for the Central Universities (Project No. 2042022kf1018). The numerical calculations in this paper have been done on the supercomputing system in the Supercomputing Center of Wuhan University.

Publisher's Copyright Statement

  • This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/

RGC Funding Information

  • RGC-funded

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