Rapid simulation method for assessing seismic damage to building curtain walls on a regional scale using designed wind load capacity

This study introduces a rapid simulation method for assessing seismic damage to building curtain walls at a regional scale. Although the results are approximate, this approach enables quick evaluations, making it an important instrument for emergency responses during disaster situations. This method’s independence from numerical models is a noteworthy advantage. Unlike conventional approaches, it eliminates the need for structural analysis models when evaluating the seismic capacities of curtain walls regionally. Creating reliable structural analysis models is both time-consuming and labor-intensive, primarily due to the detailed design information they require. In contrast, the presented method leverages the wind load capacities for which curtain walls are designed. It is based on the core premise that most curtain walls, primarily designed for wind resistance, possess wind load capacities that could serve as substitutes for their seismic capacities, even if they are not explicitly designed for such seismic loads. To assess the method’s effectiveness, it was applied to seismic damage assessments across regions experiencing varying wind intensities: weak, moderate, and strong. The results suggest the likelihood of curtain walls sustaining seismic damage in regions with weak wind could be five times higher than in regions with strong wind. This underscores the importance of seismic design considerations for curtain walls. Moreover, the findings closely match the actual seismic damage assessment data from a region with a moderate to strong wind intensity.

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Publication Details

Journal
Integrated Computer-Aided Engineering
Published
2024-09-19
DOI
https://doi.org/10.3233/ica-240746
Primary Topic
Structural Analysis of Composite Materials
Type
article
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article

Rapid simulation method for assessing seismic damage to building curtain walls on a regional scale using designed wind load capacity

Jun‐hee Kim, Insub Choi, Jun Su Park, Hyo Park
Integrated Computer-Aided Engineering
Structural Analysis of Composite Materials
article

Rapid simulation method for assessing seismic damage to building curtain walls on a regional scale using designed wind load capacity

Jun‐hee Kim, Insub Choi, Jun Su Park, Hyo Park
article en

Abstract

This study introduces a rapid simulation method for assessing seismic damage to building curtain walls at a regional scale. Although the results are approximate, this approach enables quick evaluations, making it an important instrument for emergency responses during disaster situations. This method’s independence from numerical models is a noteworthy advantage. Unlike conventional approaches, it eliminates the need for structural analysis models when evaluating the seismic capacities of curtain walls regionally. Creating reliable structural analysis models is both time-consuming and labor-intensive, primarily due to the detailed design information they require. In contrast, the presented method leverages the wind load capacities for which curtain walls are designed. It is based on the core premise that most curtain walls, primarily designed for wind resistance, possess wind load capacities that could serve as substitutes for their seismic capacities, even if they are not explicitly designed for such seismic loads. To assess the method’s effectiveness, it was applied to seismic damage assessments across regions experiencing varying wind intensities: weak, moderate, and strong. The results suggest the likelihood of curtain walls sustaining seismic damage in regions with weak wind could be five times higher than in regions with strong wind. This underscores the importance of seismic design considerations for curtain walls. Moreover, the findings closely match the actual seismic damage assessment data from a region with a moderate to strong wind intensity.

Integrated Computer-Aided EngineeringVol. 32(2)
Yonsei University (KR), Keimyung University (KR)
Openalex Percentile: Top 84%
Structural Analysis of Composite Materials
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