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Comparison of fully non-stationary artificial accelerograms generation methods in non-linear dynamic analyses

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conference contribution
posted on 12.05.2021, 11:13 authored by Federica Genovese, Giuseppe Muscolino, Alessandro PalmeriAlessandro Palmeri
Non-linear dynamic analyses are a powerful tool to assess the performance of earthquake-resistant structural and geotechnical systems. Inevitably, the validity of the predicted seismic responses depends on the fidelity of the computational model to the true behaviour of the assets being analysed and the representativeness of time histories of ground acceleration in relation to the actual seismic hazard for the site under consideration. The generation of artificial time histories is generally allowed by international seismic codes and represents a valid alternative to the use of real accelerograms, provided that the key features in the expected seismic input are preserved in the generated signals. As a consequence, different stochastic generation methods of fully non-stationary, spectrum-compatible accelerograms have been proposed in the technical literature. The effects of two alternative randomisation strategies are compared in this paper, based respectively on the use of i) circular wavelet transform and ii evolutionary piecewise power spectral density functions. The case of a simple nonlinear structural system with an elastoplastic behaviour is addressed, as representative of a broad range of structural and geotechnical systems that experience yielding and plastic deformations under relatively intense seismic events.

History

School

  • Architecture, Building and Civil Engineering

Published in

REC2021 Proceedings

Pages

566-574

Source

9th International Workshop on Reliable Engineering Computing (REC2021)

Publisher

REC2021

Version

AM (Accepted Manuscript)

Rights holder

© The Authors

Publisher statement

This paper was accepted for publication in the REC2021 Proceedings and the definitive published version is available at http://ww2new.unime.it/REC2021/.

Acceptance date

15/04/2021

Copyright date

2021

Language

en

Editor(s)

Alba Sofi; Giuseppe Muscolino; Rafi L. Muhanna

Location

Virtual Conference

Event dates

17th May 2021 - 20th May 2021

Depositor

Dr Alessandro Palmeri. Deposit date: 11 May 2021