Using machine learning in physics-based simulation of fire-Reference-Cited by-同舟云学术

Using machine learning in physics-based simulation of fire

Published:2020-06 Issue: Volume:114 Page:102991
ISSN:0379-7112
Container-title:Fire Safety Journal
language:en
Short-container-title:Fire Safety Journal

Author:

Lattimer B.Y.,Hodges J.L.,Lattimer A.M.

Funder

NIOSH

Department of Mining&Minerals Engineering

Publisher

Elsevier BV

Subject

General Physics and Astronomy,Safety, Risk, Reliability and Quality,General Materials Science,General Chemistry

Reference46 articles.

1. Large eddy simulation of fire plumes;Wang;Proc. Combust. Inst.,2011

2. R.D. Peacock, P.A. Reneke, G.P. Forney, NIST Technical Note 1889v2 CFAST – Consolidated Model of Fire Growth and Smoke Transport ( Version 7 ) Volume 2 : User ’ s Guide, vol. 2 ((n.d.)).

3. Validation of numerical simulations of compartment fires with forced or natural ventilation using the fire and Smoke simulator ( FSSIM ), CFAST and FDS;Williamson;IAFSS,2011

4. Multiscale modeling of transient flows from fire and ventilation in long tunnels;Colella;Comput. Fluids,2011

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