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Incorporation of BIM-based probabilistic non-structural damage assessment into agent-based post-earthquake evacuation simulation
Indexado
WoS WOS:000981436900001
Scopus SCOPUS_ID:85151785432
DOI 10.1016/J.AEI.2023.101958
Año 2023
Tipo artículo de investigación

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



Earthquakes can cause severe damage to structural and non-structural elements of buildings; consequently, they pose high risks to human lives. To mitigate such risks, attention has been paid to enhancing the indoor envi-ronment for increased building safety. Yet little effort has been made to assess a building occupants' evacuation behaviors in response to damage to the indoor environment. This paper addresses this issue with a novel simulation framework that couples human behaviors with changes to the indoor building environment during post-earthquake evacuation. In particular, we present a building information modelling (BIM)-based prototype that simulates seismic damage to the non-structural indoor elements and visualizes its impacts on evacuation using a color-coded heat map. The simulated damage is then used as input to an agent-based model for post -earthquake evacuation. Using a probabilistic method to assess the non-structural elements' damage states, we are able to evaluate the impact of indoor damage on the evacuation process. We performed a trial of our pro-totype for a hypothetical earthquake in an educational building. The results revealed how the average evacuation time would increase as the earthquake intensity increases (from 38.6 s for the no-damage scenario to 122.9 for the highest-damage scenario). The proposed prototype has the potential to be joined with other tools, such as finite-element-based simulation, to incorporate structural analysis as well. Planners and designers can explicitly use our model's output to analyze the post-earthquake evacuation with the indoor non-structural damage to assess different building design geometries that increase the chances of a suitable evacuation process.

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Disciplinas de Investigación



WOS
Engineering, Multidisciplinary
Computer Science, Artificial Intelligence
Scopus
Information Systems
Artificial Intelligence
SciELO
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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



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Autores - Afiliación



Ord. Autor Género Institución - País
1 Hassanpour, Sajjad Hombre UNIV AUCKLAND - Nueva Zelanda
The University of Auckland - Nueva Zelanda
2 González, Vicente A. Hombre Univ Alberta - Canadá
University of Alberta - Canadá
3 Zou, Yang - UNIV AUCKLAND - Nueva Zelanda
The University of Auckland - Nueva Zelanda
4 Liu, Jiamou - UNIV AUCKLAND - Nueva Zelanda
The University of Auckland - Nueva Zelanda
5 Wang, Feng - UNIV AUCKLAND - Nueva Zelanda
The University of Auckland - Nueva Zelanda
6 Castillo, Enrique del Rey Hombre UNIV AUCKLAND - Nueva Zelanda
The University of Auckland - Nueva Zelanda
7 CABRERA-GUERRERO, GUILLERMO NICOLAS Hombre Pontificia Universidad Católica de Valparaíso - Chile

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Financiamiento



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Agradecimientos



Agradecimiento
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