SeismicV: A Mobile Tool for Assessing the Seismic Vulnerability of Buildings

Rapid visual screening has been used worldwide as the first approach to evaluate the seismic vulnerability of civil structures in a specific area, in order to prioritize buildings based on the need for upgrading or retrofitting. In this work, a novel mobile application tool for the rapid visual screening of reinforced concrete buildings is presented and discussed. The herein suggested “SeismicV” tool performs a pre-seismic visual screening based on the Japanese guidelines for the seismic evaluation of existing RC buildings. A preliminary seismic vulnerability assessment of a complex modern building situated in the capital of Brazil, Brasilia, was carried out using this mobile app. The data were collected from in situ and based on some data from plants and documents. The SeismicV tool consists of an effective, user-friendly, and straightforward mobile application. Since the methodology is based on a performance score that is compared to the seismic demand, this application design allows for the knowledge of intermediate indices at each step of the evaluation, including dominant variables such as structural irregularity, building age, ground index, and usage index. Although the application was conceived and applied to heritage buildings in the early stages, it can be employed for other complex structures. The findings highlight that utilizing SeismicV to assess the seismic vulnerability of complex buildings through the rapid visual screening method offers significant benefits, including faster evaluations, increased accuracy, and improved accessibility for field assessments.

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Institutions

Publication Details

Journal
Buildings
Published
2025-07-19
DOI
https://doi.org/10.3390/buildings15142541
Citations
2
Primary Topic
Seismic Performance and Analysis
Type
article
Field-Weighted Citation Impact
1.91

Funders

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article

SeismicV: A Mobile Tool for Assessing the Seismic Vulnerability of Buildings

Philipe Q. Rodrigues, Humberto Varum, João C. Pantoja
2 citations
Buildings
Seismic Performance and Analysis
1.91
article

SeismicV: A Mobile Tool for Assessing the Seismic Vulnerability of Buildings

Philipe Q. Rodrigues, Humberto Varum, João C. Pantoja
article en
2 citations

Abstract

Rapid visual screening has been used worldwide as the first approach to evaluate the seismic vulnerability of civil structures in a specific area, in order to prioritize buildings based on the need for upgrading or retrofitting. In this work, a novel mobile application tool for the rapid visual screening of reinforced concrete buildings is presented and discussed. The herein suggested “SeismicV” tool performs a pre-seismic visual screening based on the Japanese guidelines for the seismic evaluation of existing RC buildings. A preliminary seismic vulnerability assessment of a complex modern building situated in the capital of Brazil, Brasilia, was carried out using this mobile app. The data were collected from in situ and based on some data from plants and documents. The SeismicV tool consists of an effective, user-friendly, and straightforward mobile application. Since the methodology is based on a performance score that is compared to the seismic demand, this application design allows for the knowledge of intermediate indices at each step of the evaluation, including dominant variables such as structural irregularity, building age, ground index, and usage index. Although the application was conceived and applied to heritage buildings in the early stages, it can be employed for other complex structures. The findings highlight that utilizing SeismicV to assess the seismic vulnerability of complex buildings through the rapid visual screening method offers significant benefits, including faster evaluations, increased accuracy, and improved accessibility for field assessments.

BuildingsVol. 15(14)
Universidade de Brasília (BR), Universidade do Porto (PT)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Openalex Percentile: Top 14%
Seismic Performance and Analysis
1.91
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