This paper proposes a numerical procedure for the generation of sets of synthetic acceleration time histories that result compatible with an assigned target design spectrum. The proposed formulation is able to take into account both the energy distribution in time and the contemporary variability of the frequency content. The approach allows the recognition of strict relations between recorded signals at a site and the underlying evolutionary model recently introduced for the generation of spectrum compatible time histories. A high seismicity Italian area is selected for the numerical example: results are given in terms of synthetic signals whose corresponding spectra versus the design spectrum at the site are compared.

Evolutionary model for synthetic spectrum compatible accelerograms

CARLI, FABIO;CARINO, CLAUDIO
2016-01-01

Abstract

This paper proposes a numerical procedure for the generation of sets of synthetic acceleration time histories that result compatible with an assigned target design spectrum. The proposed formulation is able to take into account both the energy distribution in time and the contemporary variability of the frequency content. The approach allows the recognition of strict relations between recorded signals at a site and the underlying evolutionary model recently introduced for the generation of spectrum compatible time histories. A high seismicity Italian area is selected for the numerical example: results are given in terms of synthetic signals whose corresponding spectra versus the design spectrum at the site are compared.
2016
Dynamical Systems: Modelling
Awrejcewicz J.
Civil Engineering covers engineering-based resources in the subfields of structural engineering, geotechnics, earthquake engineering, ocean engineering, water resources and supply, naval engineering, marine engineering, transportation engineering, and municipal engineering. Topics covered include the planning, design, construction, and maintenance of fixed structures and ground facilities for industry, occupancy, transportation, use and control of water, and harbor facilities.
Engineering Mathematics covers resources on applied mathematics, mathematical modelling, combinatorics, optimization techniques, numerical methods, and statistical methods that have an emphasis on engineering systems.
Esperti anonimi
Inglese
su invito
13th International Conference on Dynamical Systems, 2015
2015
pol
Internazionale
STAMPA
Springer Proceedings in Mathematics & Statistics
181
131
141
11
9783319424019
Springer New York LLC
Energy distributions; Evolutionary models; Frequency contents; Numerical procedures; Recorded signals; Synthetic acceleration; Synthetic signals; Synthetic spectra
http://www.springer.com/series/10533
no
none
Carli, Fabio; Carino, Claudio
273
info:eu-repo/semantics/conferenceObject
2
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/1178549
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