The extensive evaluation of the impact of local seismo-stratigraphic configurations on seismic ground motion presents significant challenges due to the necessity of considering the combined effects of uncertainty and smallscale lateral variability of the relevant parameters. To effectively explore these sources of uncertainty, a new Python-based computer program is proposed for one-dimensional seismic site response simulations, adopting the equivalent linear viscoelastic approach in the frequency domain. With respect to existing software, the code introduces new pre- and post-processing features, which also meet the specific requirements of seismic microzonation studies. Within the code, the complete spectrum of uncertainties related to local seismo-stratigraphic configurations, including lithotype successions, layer thicknesses, and seismic and geotechnical properties for the considered lithotypes, is managed by considering user-defined constraints and statistical properties of the relevant parameters. Additionally, a batch approach is offered, enabling the application of the procedure to an unlimited number of different scenarios. To demonstrate the potentiality of the proposed code, a comprehensive set of 90,000 local seismic site response analyses was conducted, showing a clear correlation between the amplification factors, the mean shear wave velocity in the upper 30 m, the fundamental frequency of the deposit and the depth to the seismic bedrock.

Acunzo, G., Falcone, G., di Lernia, A., Mori, F., Mendicelli, A., Naso, G., et al. (2024). NC92Soil: A computer code for deterministic and stochastic 1D equivalent linear seismic site response analyses. COMPUTERS AND GEOTECHNICS, 165 [10.1016/j.compgeo.2023.105857].

NC92Soil: A computer code for deterministic and stochastic 1D equivalent linear seismic site response analyses

Albarello, Dario
Membro del Collaboration Group
;
2024-01-01

Abstract

The extensive evaluation of the impact of local seismo-stratigraphic configurations on seismic ground motion presents significant challenges due to the necessity of considering the combined effects of uncertainty and smallscale lateral variability of the relevant parameters. To effectively explore these sources of uncertainty, a new Python-based computer program is proposed for one-dimensional seismic site response simulations, adopting the equivalent linear viscoelastic approach in the frequency domain. With respect to existing software, the code introduces new pre- and post-processing features, which also meet the specific requirements of seismic microzonation studies. Within the code, the complete spectrum of uncertainties related to local seismo-stratigraphic configurations, including lithotype successions, layer thicknesses, and seismic and geotechnical properties for the considered lithotypes, is managed by considering user-defined constraints and statistical properties of the relevant parameters. Additionally, a batch approach is offered, enabling the application of the procedure to an unlimited number of different scenarios. To demonstrate the potentiality of the proposed code, a comprehensive set of 90,000 local seismic site response analyses was conducted, showing a clear correlation between the amplification factors, the mean shear wave velocity in the upper 30 m, the fundamental frequency of the deposit and the depth to the seismic bedrock.
2024
Acunzo, G., Falcone, G., di Lernia, A., Mori, F., Mendicelli, A., Naso, G., et al. (2024). NC92Soil: A computer code for deterministic and stochastic 1D equivalent linear seismic site response analyses. COMPUTERS AND GEOTECHNICS, 165 [10.1016/j.compgeo.2023.105857].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/1264176
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