Study on the Uncertainty of Input Variables in Seismic Fragility Curves Based on the Number of Ground Motions

Seismic fragility curves, derived from ground motion data, are essential tools for predicting and assessing potential damage to structures during earthquakes. Seismic fragility curves are vital for assessing the structural behavior of buildings and establishing disaster response criteria when an ear...

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Main Authors: Sangki Park, Dongwoo Seo, Kyusan Jung, Jaehwan Kim
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/14/24/11787
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author Sangki Park
Dongwoo Seo
Kyusan Jung
Jaehwan Kim
author_facet Sangki Park
Dongwoo Seo
Kyusan Jung
Jaehwan Kim
author_sort Sangki Park
collection DOAJ
description Seismic fragility curves, derived from ground motion data, are essential tools for predicting and assessing potential damage to structures during earthquakes. Seismic fragility curves are vital for assessing the structural behavior of buildings and establishing disaster response criteria when an earthquake occurs. We performed an incremental dynamic analysis based on 400 ground motion data. We sampled various sets of ground motions (10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 150, 200, 250, 300, and 350) and derived seismic fragility curves for three performance criteria, based on inter-story drift, by conducting 100,000 simulations for two steel frame structures each (6-story and 13-story). Fewer ground motions increase the uncertainty of the seismic fragility curve, distorting the results. Conversely, increasing the number of ground motions improves the reliability of the input variables and enhances the consistency of the results. The median and the logarithmic standard deviation for both structures converged toward the reference values when 30 or more ground motions were used. Similar results were observed when ≥50 ground motions were used. Specifically, more ground motions corresponded with a lower uncertainty in deriving the input variables for the seismic fragility curve, improving the reliability of the results. In conclusion, the number of ground motions used is directly related to the computational time for numerical analysis when deriving seismic fragility curves. Therefore, considering an appropriate number of ground motions is crucial to enhancing the reliability of the input variables used in evaluating the structural performance.
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spelling doaj-art-913d58bca2ac4892b0cdea809b8f4f322025-08-20T02:00:50ZengMDPI AGApplied Sciences2076-34172024-12-0114241178710.3390/app142411787Study on the Uncertainty of Input Variables in Seismic Fragility Curves Based on the Number of Ground MotionsSangki Park0Dongwoo Seo1Kyusan Jung2Jaehwan Kim3Department of Structural Engineering Research, Korea Institute of Civil Engineering and Building Technology, Goyang 10223, Republic of KoreaDepartment of Structural Engineering Research, Korea Institute of Civil Engineering and Building Technology, Goyang 10223, Republic of KoreaDepartment of Structural Engineering Research, Korea Institute of Civil Engineering and Building Technology, Goyang 10223, Republic of KoreaDepartment of Structural Engineering Research, Korea Institute of Civil Engineering and Building Technology, Goyang 10223, Republic of KoreaSeismic fragility curves, derived from ground motion data, are essential tools for predicting and assessing potential damage to structures during earthquakes. Seismic fragility curves are vital for assessing the structural behavior of buildings and establishing disaster response criteria when an earthquake occurs. We performed an incremental dynamic analysis based on 400 ground motion data. We sampled various sets of ground motions (10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 150, 200, 250, 300, and 350) and derived seismic fragility curves for three performance criteria, based on inter-story drift, by conducting 100,000 simulations for two steel frame structures each (6-story and 13-story). Fewer ground motions increase the uncertainty of the seismic fragility curve, distorting the results. Conversely, increasing the number of ground motions improves the reliability of the input variables and enhances the consistency of the results. The median and the logarithmic standard deviation for both structures converged toward the reference values when 30 or more ground motions were used. Similar results were observed when ≥50 ground motions were used. Specifically, more ground motions corresponded with a lower uncertainty in deriving the input variables for the seismic fragility curve, improving the reliability of the results. In conclusion, the number of ground motions used is directly related to the computational time for numerical analysis when deriving seismic fragility curves. Therefore, considering an appropriate number of ground motions is crucial to enhancing the reliability of the input variables used in evaluating the structural performance.https://www.mdpi.com/2076-3417/14/24/11787ground motionsseismic fragility curvesearthquake damage
spellingShingle Sangki Park
Dongwoo Seo
Kyusan Jung
Jaehwan Kim
Study on the Uncertainty of Input Variables in Seismic Fragility Curves Based on the Number of Ground Motions
Applied Sciences
ground motions
seismic fragility curves
earthquake damage
title Study on the Uncertainty of Input Variables in Seismic Fragility Curves Based on the Number of Ground Motions
title_full Study on the Uncertainty of Input Variables in Seismic Fragility Curves Based on the Number of Ground Motions
title_fullStr Study on the Uncertainty of Input Variables in Seismic Fragility Curves Based on the Number of Ground Motions
title_full_unstemmed Study on the Uncertainty of Input Variables in Seismic Fragility Curves Based on the Number of Ground Motions
title_short Study on the Uncertainty of Input Variables in Seismic Fragility Curves Based on the Number of Ground Motions
title_sort study on the uncertainty of input variables in seismic fragility curves based on the number of ground motions
topic ground motions
seismic fragility curves
earthquake damage
url https://www.mdpi.com/2076-3417/14/24/11787
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AT kyusanjung studyontheuncertaintyofinputvariablesinseismicfragilitycurvesbasedonthenumberofgroundmotions
AT jaehwankim studyontheuncertaintyofinputvariablesinseismicfragilitycurvesbasedonthenumberofgroundmotions