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A data-driven approach towards evacuation from buildings in fire conditions

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Abstract
Nowadays complex building designs, new construction materials and everchanging layout of the buildings all stress the difficulty to properly address evacuation in modern buildings. There has been a shift away from the legislation-based set of rules (prescriptive approach) towards a performance-based approach to fire safety engineering. One of the challenges is determining the attained level of fire and life safety. The project will realise coupling between the BIM model and fire engineering practice allowing for an iterative data-based fire and life safety strategy to be put into place, which can be adapted during the lifetime of the building, considering data from evacuation exercises and CFD simulations.

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MLA
Bigdeli, Soheila, et al. “A Data-Driven Approach towards Evacuation from Buildings in Fire Conditions.” Faculty of Engineering and Architecture Research Symposium 2022 (FEARS 2022), Abstracts, 2022, doi:10.5281/zenodo.7437859.
APA
Bigdeli, S., Merci, B., Verstockt, S., Van de Weghe, N., Pauwels, P., & Schepers, M. (2022). A data-driven approach towards evacuation from buildings in fire conditions. Faculty of Engineering and Architecture Research Symposium 2022 (FEARS 2022), Abstracts. Presented at the Faculty of Engineering and Architecture Research Symposium 2022 (FEARS 2022), Ghent, Belgium. https://doi.org/10.5281/zenodo.7437859
Chicago author-date
Bigdeli, Soheila, Bart Merci, Steven Verstockt, Nico Van de Weghe, Pieter Pauwels, and Melchior Schepers. 2022. “A Data-Driven Approach towards Evacuation from Buildings in Fire Conditions.” In Faculty of Engineering and Architecture Research Symposium 2022 (FEARS 2022), Abstracts. https://doi.org/10.5281/zenodo.7437859.
Chicago author-date (all authors)
Bigdeli, Soheila, Bart Merci, Steven Verstockt, Nico Van de Weghe, Pieter Pauwels, and Melchior Schepers. 2022. “A Data-Driven Approach towards Evacuation from Buildings in Fire Conditions.” In Faculty of Engineering and Architecture Research Symposium 2022 (FEARS 2022), Abstracts. doi:10.5281/zenodo.7437859.
Vancouver
1.
Bigdeli S, Merci B, Verstockt S, Van de Weghe N, Pauwels P, Schepers M. A data-driven approach towards evacuation from buildings in fire conditions. In: Faculty of Engineering and Architecture Research Symposium 2022 (FEARS 2022), Abstracts. 2022.
IEEE
[1]
S. Bigdeli, B. Merci, S. Verstockt, N. Van de Weghe, P. Pauwels, and M. Schepers, “A data-driven approach towards evacuation from buildings in fire conditions,” in Faculty of Engineering and Architecture Research Symposium 2022 (FEARS 2022), Abstracts, Ghent, Belgium, 2022.
@inproceedings{01GMVAZ17ZFESQDTMDP7A0GDH6,
  abstract     = {{Nowadays complex building designs, new construction materials and everchanging layout of the buildings all stress the difficulty to properly address evacuation in modern buildings. There has been a shift away from the legislation-based set of rules (prescriptive approach) towards a performance-based approach to fire safety engineering. One of the challenges is determining the attained level of fire and life safety. The project will realise coupling between the BIM model and fire engineering practice allowing for an iterative data-based fire and life safety strategy to be put into place, which can be adapted during the lifetime of the building, considering data from evacuation exercises and CFD simulations.}},
  author       = {{Bigdeli, Soheila and Merci, Bart and Verstockt, Steven and Van de Weghe, Nico and Pauwels, Pieter and Schepers, Melchior}},
  booktitle    = {{Faculty of Engineering and Architecture Research Symposium 2022 (FEARS 2022), Abstracts}},
  language     = {{eng}},
  location     = {{Ghent, Belgium}},
  pages        = {{1}},
  title        = {{A data-driven approach towards evacuation from buildings in fire conditions}},
  url          = {{http://doi.org/10.5281/zenodo.7437859}},
  year         = {{2022}},
}

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