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A stochastic approach to synthesizing response spectrum compatible seismic accelerograms

Giaralis, A. & Spanos, P. D. (2007). A stochastic approach to synthesizing response spectrum compatible seismic accelerograms. In: Pitilakis K (Ed.), Proceedings of the 4th International Conference on Earthquake Geotechnical Engineering (4ICEGE),paper #1319. 4th International Conference on Earthquake Geotechnical Engineering (4ICEGE), 25-28 June 2007, Thessaloniki, Greece.


Regulatory agencies require the use of artificial accelerograms satisfying specific criteria of compatibility with a given design spectrum, as input for certain types of analyses for the aseismic design of critical facilities. Most of the numerical methods for simulating seismic motions compatible with a specified design (target) spectrum proposed by various researchers require that a number of real recorded seismic accelerograms of appropriate frequency content is available. To by-pass this requirement, a previously established in the literature probabilistic approach to yield simulated earthquake records whose response spectrum achieves on average a certain level of agreement with a target spectrum is employed in the present paper. At the core of the above method lies the adoption of an appropriate parametric power spectrum model capable of accounting for various site-specific soil conditions. In this regard, the potential of two different, commonly, used spectral forms is evaluated for this purpose in context with the design spectrum defined by the European Code provisions. Next, an iterative wavelet-based matching procedure is applied to the thus acquired records to enhance, individually, the agreement of the corresponding response spectra with the targeted one. Special attention is paid to ensure that the velocity and the displacement time histories associated with the finally obtained artificial accelerograms are physically sound by means of appropriate baseline correction techniques.

Publication Type: Conference or Workshop Item (Paper)
Publisher Keywords: response spectrum, artificial accelerograms, stochastic process, harmonic wavelets
Subjects: G Geography. Anthropology. Recreation > GB Physical geography
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: School of Science & Technology > Engineering
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