Probability Distribution of Elastic Response Spectrum with Actual Earthquake Data

Probability Distribution of Elastic Response Spectrum with Actual Earthquake Data

This study aimed to propose a probability-guaranteed spectrum method to enhance the reliability of seismic building designs, thereby addressing the inadequacy of the current code-specified response spectrum based on mean fortification levels. This study systematically evaluated the fitting performan...

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Bibliographic Details
Main Authors: Qianqian Liang, Jie Wu, Guijuan Lu, Jun Hu
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Buildings
Subjects:
probability distribution
probability safety level
seismic influence dynamic coefficient
spectral load
Online Access:https://www.mdpi.com/2075-5309/15/12/2062
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Summary:This study aimed to propose a probability-guaranteed spectrum method to enhance the reliability of seismic building designs, thereby addressing the inadequacy of the current code-specified response spectrum based on mean fortification levels. This study systematically evaluated the fitting performance of dynamic coefficient spectra under normal, log-normal, and gamma distribution assumptions based on 288 ground motion records from type II sites. MATLAB(2010) parameter fitting and the Kolmogorov–Smirnov test were used, revealing that the gamma distribution optimally characterized spectral characteristics across all period ranges (<i>p</i> < 0.05). This study innovatively established dynamic coefficient spectra curves for various probability guarantee levels (50–80%), quantitatively revealing the insufficient probability assurance of code spectra in the long-period range. Furthermore, this study proposed an evaluation framework for load safety levels of spectral values over the design service period, demonstrating that increasing probability guarantee levels significantly improved safety margins over a 50-year reference period. This method provides probabilistic foundations for the differentiated seismic design of important structures and offers valuable insights for revising current code provisions based on mean spectra.
ISSN:2075-5309

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