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Influence of different fully non-stationary artificial time histories generation methods on the seismic response of frequency-dependent structures

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conference contribution
posted on 17.09.2021, 09:57 by Federica Genovese, Giuseppe Muscolino, Alessandro PalmeriAlessandro Palmeri
Advances in computational power and numerical optimization routines enable the application of rigorous simulation and optimization techniques for the design and assessment of structural and geotechnical (S&G) systems. Nowadays, the state of practice in the seismic design of high-importance structures has progressively moved toward the use of time-history dynamic analysis that are highly sensitive to the way of modelling the dynamic action. To be reliable, this type of analysis requires efficient methodologies for the selection of the seismic inputs used as ground excitations.
In this paper, a new stochastic approach, based on the use of the wavelet transform is proposed to generate an arbitrary number of seismic records having the same characteristics of a target accelerogram. The choice of the amplitude and number of bands in which to partition the frequency domain is a key source of variability to consider for the generation of samples with the desired time-varying amplitude and frequency content.
To evaluate the influence of the use of an alternative fully non-stationary artificial accelerograms generation methods, a comparison between the proposed method and the one recently proposed by the first two authors is also presented in this paper. Specifically, in order to quantify the influence of accelerograms models on the seismic response, a structural system with viscoelastic damping is analysed, representative of a broad range of frequency-dependent S&G assets.

History

School

  • Architecture, Building and Civil Engineering

Published in

UNCECOMP 2021. Proceedings of the 4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering

Pages

15-25

Source

4th ECCOMAS Thematic Conference on International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2021)

Publisher

Eccomas Proceedia

Version

AM (Accepted Manuscript)

Rights holder

© The Authors

Publisher statement

This paper was accepted for publication in the UNCECOMP 2021 Proceedings and the definitive published version is available at https://www.eccomasproceedia.org/conferences/thematic-conferences/uncecomp-2021.

Acceptance date

30/04/2021

Copyright date

2021

ISBN

9786188507265

Language

en

Editor(s)

M. Papadrakakis; V. Papadopoulos; G. Stefanou

Location

Virtual Conference

Event dates

27th June 2021 - 30th June 2021

Depositor

Dr Alessandro Palmeri. Deposit date: 11 May 2021