4.4 Article

Empirical Correlations of Spectral Input Energy with Peak Amplitude, Cumulative, and Duration Intensity Measures

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出版社

SEISMOLOGICAL SOC AMER
DOI: 10.1785/0120210164

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资金

  1. National Natural Science Foundation of China [51708460, 51808397]
  2. Sichuan Science and Technology Program [2021YFS0320, 2021YFH0037]
  3. Transportation Science and Technology Project of Sichuan Province [2021-WX-06]
  4. Financial Projects in Shanghai [20130302]

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In earthquake engineering, it is recognized that a vector of intensity measures (IMs) can provide better predictions for seismic structural responses. This study examines the correlations between spectral input energy (E-I) and other important IMs, finding strong positive correlations with peak amplitude-based IMs and negative correlations with duration-based IMs.
In earthquake engineering, it is acknowledged that a vector of intensity measures (IMs) can better predict seismic structural responses than a single measure. Hence, a vector of IMs is widely applied in a number of applications, such as probabilistic seismic hazard analysis, probabilistic seismic risk analysis, and ground-motion selections. Spectral input energy (E-I) has been demonstrated as a promising IM in earthquake engineering, especially in the energy-based seismic design of structures. However, this important measure has not been included in the vector of IMs. Therefore, it is worthwhile to incorporate E-I with other important IMs by examining correlations. This study analyzes the empirical correlations of spectral E-I with peak amplitude-based IMs, cumulative-based IMs, and duration-related IMs. It is found that spectral absolute E-I has strong correlations with peak ground velocity at all investigated periods. However, spectral E-I is negatively correlated with duration-based IMs. To demonstrate the applicability of the examined correlations, a simple example is finally presented by employing E-I for the ground-motion selections and seismic hazard assessment based on the generalized conditional intensity measure approach.

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