Published January 1, 2025 | Version v1
Journal article Open

Ground-motion models for Arias intensity, cumulative absolute velocity, and duration parameters in Türkiye

  • 1. Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Hong Kong, Peoples R China
  • 2. Hong Kong Polytech Univ, Dept Civil & Environm Engn, Hong Kong, Peoples R China
  • 3. Northumbria Univ, Fac Engn & Environm, Newcastle Upon Tyne, England
  • 4. Middle East Tech Univ, Dept Engn Sci, Ankara, Turkiye
  • 5. Middle East Tech Univ, Dept Civil Engn, Ankara, Turkiye
  • 6. Hohai Univ, Coll Civil & Transportat Engn, Nanjing, Peoples R China

Description

Arias intensity (AI), cumulative absolute velocity (CAV), and duration are important ground-motion parameters in earthquake engineering applications. In this article, region-specific ground-motion models for AI, CAV, and significant durations are developed using over 8200 records from a comprehensive Turkish strong-motion database. The proposed functional form describes the magnitude scaling with a piecewise term, whereas a magnitude-dependent geometric attenuation term and an anelastic attenuation term are utilized to characterize the distance scaling. The source characteristics are additionally captured by including depth to the top of rupture, faulting mechanism, and aftershock indicator as predictors. Besides, the time-averaged shear-wave velocity over the upper 30 m is used to describe the local site condition. A sensitivity test incorporating a basin depth term and a hanging wall term shows low improvement in predictive performance. Magnitude-dependent standard deviations are quantified to measure aleatory variability, and the single-station standard deviation after removing repeatable site effects is also studied. The comparison of the proposed ground-motion models with some existing models shows notable differences in predictions under certain scenarios. Additionally, the path duration and ground-motion directionality in T & uuml;rkiye are investigated. As an early attempt towards the prediction of non-spectral parameters in T & uuml;rkiye, this study can contribute to the local seismic hazard assessment.

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