A methodology for estimation of site-specific nonlinear dynamic soil behaviour using vertical downhole arrays

E. Ece Eseller-Bayat*, Mehmet Ada

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

System identification (SI) techniques have been widely used in Geotechnical Engineering to understand the characteristics of soils. In this study, system identification techniques with and without using a constitutive model were examined using three downhole array sites in California, US. Shear wave velocities (VS) and maximum shear moduli (Gmax) of soils were obtained using SI techniques without using a constitutive model and low-amplitude earthquake records. Average shear moduli and average damping ratios of soil layers were estimated through SI technique using a linear constitutive model and relatively high amplitude records. Finally, a practical methodology was proposed for predicting site-specific shear modulus degradation (G/Gmax) and damping curves (ξ) using nonlinear constitutive models and high amplitude earthquake data recorded in some arrays. The proposed methodology predicts site-specific dynamic characteristics by using the recorded earthquake data and iterating the reference strain (γr) in the nonlinear constitutive model. From the results, it can be inferred that average shear modulus values estimated using the linear constitutive model might not predict the dynamic soil behaviour properly for high amplitude earthquakes. However, the acceleration time histories obtained using the site-specific G/Gmax and ξ curves predicted by the proposed methodology using nonlinear constitutive model were in good agreement with the recorded acceleration data.

Original languageEnglish
Pages (from-to)1810-1832
Number of pages23
JournalEuropean Journal of Environmental and Civil Engineering
Volume25
Issue number10
DOIs
Publication statusPublished - 2021

Bibliographical note

Publisher Copyright:
© 2019 Informa UK Limited, trading as Taylor & Francis Group.

Keywords

  • constitutive soil models
  • downhole array
  • reference strain
  • site-specific dynamic soil properties
  • System identification

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