Real-Time Spatiotemporal Seismic Fragility Assessment of Structures Based on Site-Specific Seismic Response and Sensor-Integrated Modeling

Earthquake hazards, such as strong ground motion, liquefaction, and landslides, pose significant threats to structures built on seismically vulnerable, loose, and saturated sandy soils. Therefore, a structural failure evaluation method that accounts for site-specific seismic responses is essential for developing effective and appropriate earthquake hazard mitigation strategies. In this study, a real-time assessment framework for structural seismic susceptibility is developed. To evaluate structural susceptibility to earthquakes, seismic fragility functions are employed as thresholds for structural failure and are linked to a geotechnical spatial grid that incorporates correlation equations for seismic load determination. The real-time assessment consists of the following procedures. First, the geotechnical spatial grid is constructed based on the geostatistical method to estimate the site-specific site response to be correlated with the earthquake hazard potential. Second, the peak ground accelerations are determined from seismic load correlation and assigned to the geotechnical spatial grid. Third, the damage grade of structure is determined by calculating the failure probabilities of defined damage levels and integrating the geotechnical spatial grids for the target structure in real time. The proposed assessment was simulated at Incheon Port, South Korea, using both an actual earthquake event (the 2017 Pohang Earthquake) and a hypothetical earthquake scenario.

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Publication Details

Journal
Sensors
Published
2025-08-20
DOI
https://doi.org/10.3390/s25165171
Citations
1
Primary Topic
Seismic Performance and Analysis
Type
article
Field-Weighted Citation Impact
0.95

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article

Real-Time Spatiotemporal Seismic Fragility Assessment of Structures Based on Site-Specific Seismic Response and Sensor-Integrated Modeling

Taek-Kyu Chung, Hansaem Kim, Mingi Kim
1 citations
Sensors
Seismic Performance and Analysis
0.95
article

Real-Time Spatiotemporal Seismic Fragility Assessment of Structures Based on Site-Specific Seismic Response and Sensor-Integrated Modeling

Taek-Kyu Chung, Hansaem Kim, Mingi Kim
article en
1 citations

Abstract

Earthquake hazards, such as strong ground motion, liquefaction, and landslides, pose significant threats to structures built on seismically vulnerable, loose, and saturated sandy soils. Therefore, a structural failure evaluation method that accounts for site-specific seismic responses is essential for developing effective and appropriate earthquake hazard mitigation strategies. In this study, a real-time assessment framework for structural seismic susceptibility is developed. To evaluate structural susceptibility to earthquakes, seismic fragility functions are employed as thresholds for structural failure and are linked to a geotechnical spatial grid that incorporates correlation equations for seismic load determination. The real-time assessment consists of the following procedures. First, the geotechnical spatial grid is constructed based on the geostatistical method to estimate the site-specific site response to be correlated with the earthquake hazard potential. Second, the peak ground accelerations are determined from seismic load correlation and assigned to the geotechnical spatial grid. Third, the damage grade of structure is determined by calculating the failure probabilities of defined damage levels and integrating the geotechnical spatial grids for the target structure in real time. The proposed assessment was simulated at Incheon Port, South Korea, using both an actual earthquake event (the 2017 Pohang Earthquake) and a hypothetical earthquake scenario.

SensorsVol. 25(16)
Seoul National University (KR), Dongguk University (KR), The Seoul Institute (KR)
Dongguk University
Openalex Percentile: Top 22%
Seismic Performance and Analysis
0.95
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Real-Time Spatiotemporal Seismic Fragility Assessment of Structures Based on Site-Specific Seismic Response and Sensor-Integrated Modeling — Taek-Kyu Chung, Hansaem Kim, et al. · Sensors (2025) | TGRS Research Map | TGRS