Empirical testing of a simplified approach for the estimation of 1D litho-stratigraphical amplification factor

Paolucci, Enrico; Tanzini, Anna; Peruzzi, G.; Albarello, Dario; Tiberi, Pierpaolo

doi:10.1007/s10518-019-00772-4

Cited by 9 publications

(9 citation statements)

References 18 publications

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“…The seismic parameters have been retrieved by consulting a large database of subsoil data provided by seismic microzonation studies carried out in Southern Italy and managed by local authorities under the coordination of the Italian Centre for Seismic Microzonation and Applications (Moscatelli et al 2020). The approach considered to define representative seismo-stratigraphical configurations is described in detail by Peruzzi et al (2016), Paolucci et al (2020Paolucci et al ( , 2023 and is briefly outlined in the following.…”

Section: R E P R E S E N Tat I V E 1 D S E I S M O -S T R At I G R a ...mentioning

confidence: 99%

Simulating H/V spectral ratios (HVSR) of ambient vibrations: a comparison among numerical models

Albarello

Herak

Lunedei

et al. 2023

Geophysical Journal International

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Summary The use of H/V spectral ratios (HVSR) of ambient vibrations to constrain the local seismo-stratigraphical configuration relies on numerical forward models able to connect observations with subsoil seismic properties. Several models were proposed to this purpose in the last decades, which are based on different assumptions about the nature of the ambient vibration wavefield. Performances of nine numerical tools implementing these models have been checked by considering 1600 realistic 1D subsoil configurations mostly relative to A, B and C Eurocode8 soil classes. Resultant HVSR curves predicted by the models are quite similar both in their general shape and in predicting the resonant soil frequencies, possibly because all of them share the same basic representation of the subsoil as a 1D stack of flat uniform viscoelastic layers. The common sensitivity to transmission/reflection matrices resulting from that representation explains the well-known correspondence of HVSR maxima to 1D resonance frequency estimates, regardless of the physical assumptions (about source distribution, radiation pattern, dominating seismic phases, etc.) behind the computational model adopted for simulating HVSR curves. On the other hand, the computational models here considered provide quite different amplitudes for HVSR values corresponding to the resonance frequencies. However, since experimental HVSR amplitudes at the same site are affected by an inherent variability (e.g., due to the possible lack of ergodicity of the ambient vibration stochastic wavefield, non-ideal experimental settings, etc.) and uncertainty about the local seismo-stratigraphical profile (attenuation, 2D/3D effects, etc.) observations cannot be used for general scoring of the considered computational models on empirical basis. In this situation, the ‘optimal’ numerical tool to be considered for the forward HVSR modelling must be defined case by case.

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Section: R E P R E S E N Tat I V E 1 D S E I S M O -S T R At I G R a ...mentioning

confidence: 99%

Simulating H/V spectral ratios (HVSR) of ambient vibrations: a comparison among numerical models

Albarello

Herak

Lunedei

et al. 2023

Geophysical Journal International

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“…This methodological step leads to a SM where only stable areas with 1D expected ground motion ampli cation are considered for the estimation of AF (eq. 1) that is calculated by suitable tools (abacuses) in the assumption that (e.g., Paolucci et al, 2020). The possible presence of more complex effects induced by the local complex geomorphological setting (abrupt slope changes, steep slopes, narrow ridges, peaks etc..) are also separately parameterized by considering speci c abacuses (e.g., Ashford and Sitar, 1997;Paolucci, 2002) in the assumption that SB outcrops.…”

Section: From Eggm To Shms Mapmentioning

confidence: 99%

“…In particular, abacuses de ned for Marche Region were considered to de ne values by assessing a small set of parameters. The abacuses to be used in the study area have been discussed in detail by Paolucci et al (2020). By using this tool, three AFS are de ned for each microzone relative to three ranges of building resonance periods (0.1-0.5s, 0.4-0.8s, 0.7-1.1s) by considering three pieces of information:…”

Section: Evaluating Eggm Mapmentioning

confidence: 99%

“…Despite of the inherently semi-qualitative character of the SM rst level, its outcomes are of primary importance for the subsequent levels. In the second level SM, ampli cation effects induced by the local 1D stratigraphical con guration are quanti ed by adopting a simpli ed approach based on the use of suitable abacuses (Peruzzi et al, 2016;Albarello et al, 2017;Paolucci et al, 2020). This second level SM can be seen as the rst operative basis for land and emergency planning, providing speci c indications to local authorities as concerns management of preventive activities (e.g., Mori et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Developing effective subsoil reference model for seismic microzonation studies.

Pieruccini¹,

Paolucci²,

Fantozzi³

et al. 2021

Preprint

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A general methodological approach is here discussed to integrate geological and geophysical information in seismic microzonation studies. In particular, the methodology aims at maximizing the exploitation of low-cost data for extensive preliminary assessment of ground motion amplification phenomena induced by the local seismostratigraphical configuration. Three main steps are delineated: a) the combination of geological/geomorphological analyses to develop an Engineering-Geological Model of the study area; b) targeted geophysical prospecting to provide an Engineering-Geological/Geophysical Model; c) evaluating effectiveness of Engineering-Geological/Geophysical Model by estimating expected ground motion amplification phenomena by the use of suitable computational tools. The workflow is illustrated by a case-study based on a set of villages in the Umbro-Marchean Apennine (Central Italy) damaged during the Seismic sequence occurred in Central Italy during 2016–2017.

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“…Despite of the inherently semi-qualitative character of the SM first level, its outcomes are of primary importance for the subsequent levels. In the second level SM, amplification effects induced by the local 1D stratigraphical configuration are quantified by adopting a simplified approach based on the use of suitable abacuses (Peruzzi et al, 2016;Albarello et al, 2017;Paolucci et al, 2020). This second level SM can be seen as the first operative basis for land and emergency planning, providing specific indications to local authorities as concerns management of preventive activities (e.g., Mori et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Developing effective subsoil reference model for seismic microzonation studies: Central Italy case studies

et al. 2022

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Empirical testing of a simplified approach for the estimation of 1D litho-stratigraphical amplification factor

Cited by 9 publications

References 18 publications

Simulating H/V spectral ratios (HVSR) of ambient vibrations: a comparison among numerical models

Simulating H/V spectral ratios (HVSR) of ambient vibrations: a comparison among numerical models

Developing effective subsoil reference model for seismic microzonation studies.

Developing effective subsoil reference model for seismic microzonation studies: Central Italy case studies

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