Residual displacement ground-motion model

Residual displacement (RD), indicative of permanent post-earthquake deformation resulting from nonlinear structural response, plays an important role in assessing structural integrity and seismic safety. This study introduces a ground-motion model (GMM) for predicting RDs in inelastic single-degree-of-freedom systems, utilizing a large database of recorded ground motions . The RD GMM adopts key input parameters including 5%-damped elastic pseudo-spectral acceleration (PSA) over periods from 0.01 to 4.0 s, yield strength coefficient (Cy), earthquake magnitude ( M ), and closest distance to the fault rupture plane (R rup ). Levels of inelasticity are accounted for by employing the yield strength reduction factor , denoted as (PSA/g)/Cy. The results indicate that while M and R rup significantly affect RDs, site class and significant duration have relatively less influence. RD GMM coefficients and unconditional standard deviations of the model are provided for specific Cy values across a period range of 0.01–4.0 s. The analyses indicate relatively large standard deviations in the GMM due to inherent variability in residual displacement, highlighting the importance of understanding and accounting for this variability in seismic design and performance assessment. Validation against a multi-degree-of-freedom bridge residual drifts demonstrates the effectiveness of the model in predicting the distribution of residual drifts. • Developed a ground-motion model (GMM) to predict residual displacement (RD) in inelastic single-degree-of-freedom systems. • Input parameters are pseudo-spectral acceleration, yield strength coefficient, magnitude and rupture distance. • RD GMM has significant variability, with standard deviations between 1.0 and 1.5. • Model validation against multi-degree-of-freedom bridge residual drifts confirms its effectiveness in response prediction.

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Publication Details

Journal
Soil Dynamics and Earthquake Engineering
Published
2024-12-03
DOI
https://doi.org/10.1016/j.soildyn.2024.109121
Citations
2
Primary Topic
Seismic Performance and Analysis
Type
article
Field-Weighted Citation Impact
0.52
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article

Residual displacement ground-motion model

Yousef Bozorgnia, Silvia Mazzoni, Esra Zengin, Kenneth W. Campbell
2 citations
Soil Dynamics and Earthquake Engineering
Seismic Performance and Analysis
0.52
article

Residual displacement ground-motion model

Yousef Bozorgnia, Silvia Mazzoni, Esra Zengin, Kenneth W. Campbell
article en
2 citations

Abstract

Residual displacement (RD), indicative of permanent post-earthquake deformation resulting from nonlinear structural response, plays an important role in assessing structural integrity and seismic safety. This study introduces a ground-motion model (GMM) for predicting RDs in inelastic single-degree-of-freedom systems, utilizing a large database of recorded ground motions . The RD GMM adopts key input parameters including 5%-damped elastic pseudo-spectral acceleration (PSA) over periods from 0.01 to 4.0 s, yield strength coefficient (Cy), earthquake magnitude ( M ), and closest distance to the fault rupture plane (R rup ). Levels of inelasticity are accounted for by employing the yield strength reduction factor , denoted as (PSA/g)/Cy. The results indicate that while M and R rup significantly affect RDs, site class and significant duration have relatively less influence. RD GMM coefficients and unconditional standard deviations of the model are provided for specific Cy values across a period range of 0.01–4.0 s. The analyses indicate relatively large standard deviations in the GMM due to inherent variability in residual displacement, highlighting the importance of understanding and accounting for this variability in seismic design and performance assessment. Validation against a multi-degree-of-freedom bridge residual drifts demonstrates the effectiveness of the model in predicting the distribution of residual drifts. • Developed a ground-motion model (GMM) to predict residual displacement (RD) in inelastic single-degree-of-freedom systems. • Input parameters are pseudo-spectral acceleration, yield strength coefficient, magnitude and rupture distance. • RD GMM has significant variability, with standard deviations between 1.0 and 1.5. • Model validation against multi-degree-of-freedom bridge residual drifts confirms its effectiveness in response prediction.

Soil Dynamics and Earthquake EngineeringVol. 190
University of California, Los Angeles (US), WNET (United States) (US)
Openalex Percentile: Top 35%
Seismic Performance and Analysis
0.52
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