Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Tyler Buffington"'
Publikováno v:
Chemical Engineering Research and Design. 187:584-597
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96a09be6ef4d8dfda3ca3643f071403a
https://doi.org/10.1016/j.cherd.2022.09.025
https://doi.org/10.1016/j.cherd.2022.09.025
Publikováno v:
Fire Technology. 57:2859-2885
This work describes a deep learning methodology for “emulating” temperature outputs produced by the Fire Dynamics Simulator (FDS), a CFD software. An array of artificial neural networks (ANNs) is trained to predict transient temperatures at speci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2db2b5f227eee7acff174219a91689af
https://doi.org/10.1007/s10694-020-01037-2
https://doi.org/10.1007/s10694-020-01037-2
Autor:
Tyler Buffington, Ofodike A. Ezekoye
Publikováno v:
Fire Technology. 55:2369-2393
Understanding the relationship between fire department response times and fire outcomes is critical for understanding the impact of a fire department in a community . This paper outlines a statistical analysis of United States fire department respons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a6acc537cc35ff2d955bd8584e11fab
https://doi.org/10.1007/s10694-019-00870-4
https://doi.org/10.1007/s10694-019-00870-4
Publikováno v:
Fire Safety Journal. 129:103559
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62af2409dc64fb72120bfbbc07bdc187
https://doi.org/10.1016/j.firesaf.2022.103559
https://doi.org/10.1016/j.firesaf.2022.103559
Publikováno v:
Fire Safety Journal. 126:103446
In this paper, smoke transport in high-rise buildings through elevator shafts and stairwells is investigated for various fire location and stack effect conditions. For this purpose, a transient network model, Fire-STORM, is upgraded and used. The res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8bb068acd9074d704ef5cd85bf7dea6
https://doi.org/10.1016/j.firesaf.2021.103446
https://doi.org/10.1016/j.firesaf.2021.103446
Publikováno v:
Fire Safety Journal. 125:103443
This paper presents a deep learning model for quickly predicting the temporal evolution of smoke, temperature, and pressure during a high-rise fire scenario. The deep learning model, titled Brain-STORM, serves as a fast and accurate surrogate model o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a932eff753ff16a8868407d30522c91a
https://doi.org/10.1016/j.firesaf.2021.103443
https://doi.org/10.1016/j.firesaf.2021.103443
Publikováno v:
Computers, Environment and Urban Systems. 88:101633
This work examines different spatial and sociodemographic models for predicting residential fire counts at the census tract level for 118 U.S. fire departments across 25 states. The models give five-year forecasts of residential fire counts for 3392
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4debc1f0a8abd9d1fd1a17784115ba7e
https://doi.org/10.1016/j.compenvurbsys.2021.101633
https://doi.org/10.1016/j.compenvurbsys.2021.101633
Autor:
Ofodike A. Ezekoye, Tyler Buffington
Publikováno v:
Proceeding of 4th Thermal and Fluids Engineering Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cab1b0e0caae41c5e72ad0dbd694a1e
https://doi.org/10.1615/tfec2019.cmd.027614
https://doi.org/10.1615/tfec2019.cmd.027614
Publikováno v:
Journal of Applied Physics. 123:185101
Despite promising proofs of concept, system-level implementation of magnetic refrigeration has been critically limited by history-dependent refrigerant losses that interact with governing thermodynamic cycles to adversely impact refrigeration perform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8282a9c8e7bb6f4fc154b1bd452750af
https://doi.org/10.1063/1.5022467
https://doi.org/10.1063/1.5022467