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The Influence of Input Motion Scaling Strategies on Nonlinear Ground Response Analyses of Soft Soil Deposits

Lookup NU author(s): Dr Gaetano Elia, Professor Mohamed Rouainia

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Abstract

© 2023 by the authors.A key issue for the estimation of ground shaking is the proper selection of input motions at the seismic bedrock. At the same time, the effect of the input motion scaling strategy on structural response is typically studied disregarding the presence of the soil deposit. In this work, different soft soil deposits are selected by varying the shear wave velocity profiles and the depth to the seismic bedrock, modelling the soil behaviour through a nonlinear constitutive model implemented into a fully coupled FE code. Seven input motions are retrieved for several selection strategies in conjunction with two seismic intensity levels. Hence, more than 300 one-dimensional ground response analyses are performed. The results of the analysed cases, which are presented in terms of spectral response at ground surface and amplification factors, indicate that: (i) the use of an advanced elasto-plastic soil constitutive model accounts for nonlinear ground response effects, including higher site amplification in the mid-period range and deamplification of the peak ground accelerations; (ii) the different scaling strategies lead to comparable mean values of the amplification factors, and (iii) the variability of the amplification factors is significantly reduced when the scaling strategy seeks the compatibility with the target spectrum over a specified period range. The research will aid the prediction of local seismic site response over large areas, particularly in the absence of the fundamental period of a structure and facilitate its use in general recommendation for quantifying and reducing uncertainty.

Publication metadata

Author(s): Guzel Y, Elia G, Rouainia M, Falcone G

Publication type: Article

Publication status: Published

Journal: Geosciences

Year: 2023

Volume: 13

Issue: 1

Print publication date: 01/01/2023

Online publication date: 06/01/2023

Acceptance date: 05/01/2023

Date deposited: 08/02/2023

ISSN (electronic): 2076-3263

Publisher: MDPI

URL: https://doi.org/10.3390/geosciences13010017

DOI: 10.3390/geosciences13010017

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