BarLoINaVPal_C1.pdf (1.54 MB)
A novel analytical model of power spectral density function coherent with earthquake response spectra
conference contribution
posted on 2015-06-04, 15:13 authored by Giorgio Barone, Francesco Lo Iacono, Giacomo Navarra, Alessandro PalmeriIn the most advanced seismic codes earthquake loads are often defined by means
of pseudo-acceleration Response Spectra (RS) and the use of modal superposition analysis
method is strongly encouraged. The effectiveness of the design procedures is thus limited by
the underlying hypotheses, such as the linearity of the system and the reliability of the modal
correlation coefficients used to combine the modal responses for MDOF systems. On the other
hand, linear systems response statistics could be easily computed by using stochastic analysis
tools, once a stochastic characterization of the seismic action is provided. In this paper a
few-parameters analytical model for the definition of Power Spectral Density functions (PSD)
coherent with Response Spectra is proposed. Closed-form relationships between the parameters
involved in the definition of the PSD and the RS defined by several international seismic codes
are provided. The reliability of this tool is assessed by means of a numerical campaign by
comparing stochastic analysis and Monte-Carlo simulations. By using the proposed approach,
the seismic action can be defined both in terms of RS and in terms of PSD, and, therefore, the
engineer can choose the most appropriate analysis tool for his purpose.
History
School
- Architecture, Building and Civil Engineering
Published in
1st ECCOMAS Thematic Conference on Uncertainty Quantification in Computational Sciences and EngineeringCitation
BARONE, G. ... et al, 2015. A novel analytical model of power spectral density function coherent with earthquake response spectra. IN: Papadrakakis, M., Papadopoulos, V. and Stefanou, G. (eds). Proceedings of UNCECOMP 2015: the 1st ECCOMAS Thematic Conference on Uncertainty Quantification in Computational Sciences and Engineering, 25th-27th May 2015, Crete (Greece).Publisher
European Community on Computational Methods in Applied Sciences (ECCOMAS)Version
- AM (Accepted Manuscript)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2015Notes
This is a conference paper and is available here with the kind permission of the publisher.Publisher version
Language
- en