Zobrazeno 1 - 10
of 77
pro vyhledávání: '"John Gales"'
Publikováno v:
Natural Hazards Research, Vol 4, Iss 4, Pp 669-688 (2024)
This communication presents a short review of chatbot technology and preliminary findings from comparing two recent chatbots, OpenAI’s ChatGPT and Google’s Bard, in the context of fire engineering by evaluating their responses in handling fire sa
Externí odkaz:
https://doaj.org/article/2d715d91fdc04aa6b1b6d9947dbfc0d2
Publikováno v:
Fire and Materials. 47:386-399
Modelling Thermal Performance of Unloaded Spiral Strand and Locked Coil Cables Subject to Pool Fires
Publikováno v:
Structural Engineering International. :1-11
Publikováno v:
Canadian Journal of Civil Engineering. 49:1263-1271
In Part 1, a novel data collection exercise of a Canadian Stadium was conducted. Demographic distribution, pedestrian speed, exit and route choice, and areas of congestion were quantified using high resolution cameras. Herein, a numerical model space
Publikováno v:
Canadian Journal of Civil Engineering. 49:1254-1262
Large crowd sizes at stadia events require an in-depth consideration of human behaviour, since the reliability of egress models in design depends on the confidence of the input data. However, there is little contemporary public data surrounding crowd
Autor:
Ata M. Khan, Lauren Folk, Hannah Carton, Ariel Yerushalmi, Elizabeth Weckman Weckman, John Gales
Publikováno v:
Canadian Journal of Civil Engineering. 49:31-40
Wildland urban interface (WUI) communities are situated at the interface between human development and wildland fuel. In addition to their proximity to susceptible regions, routes of evacuation in WUIs are often limited, posing great risks to these c
Autor:
John Gales, Robert McNamee
Publikováno v:
Fire and Materials. 47:413-414
Publikováno v:
Al-Hamd, R, Alzabeebee, S, Cunningham, L & Gales, J 2022, ' Bond behaviour of rebar in concrete at elevated temperatures: A soft computing approach ', Fire and Materials, pp. 1-11 . https://doi.org/10.1002/fam.3123
This paper assesses the capability of using a new data-driven approach to predict the bond strength between steel rebar and concrete subjected to high temperatures. The analysis has been conducted using a novel evolutionary polynomial regression anal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c568f59f7637b310feca34093f441c99
https://pure.manchester.ac.uk/ws/files/246297035/Al_Hamd_et_al_Fire_and_Materials_Dec22.pdf
https://pure.manchester.ac.uk/ws/files/246297035/Al_Hamd_et_al_Fire_and_Materials_Dec22.pdf
Publikováno v:
Journal of Performance of Constructed Facilities. 36
Publikováno v:
Proceedings of the Canadian Engineering Education Association (CEEA).
Trends in engineering education have shifted over time, with teaching methods adapting to facilitate student learning [1], and the importance of equity, diversity and inclusivity (EDI) coming to the forefront [2]. It is important to understand the tr