Near-Fault Earthquake Ground-Motion Simulation in the Grenoble Valley by a High-Performance Spectral Element Code

Stupazzini, Marco; Paolucci, Roberto; Igel, Heiner

doi:10.1785/0120080274

Cited by 94 publications

(103 citation statements)

References 41 publications

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“…At L'Aquila city, for example, based on previous studies (e.g., De Luca et al, 2005), these effects are related to the presence of a basin filled with lacustrine sediments with a maximum depth of 250 m. Central Italy features several other sedimentary basins, and these can have a similar influence on ground motion (e.g., Bindi et al, 2004Bindi et al, , 2009Castro et al, 2004). These effects are of primary importance for seismic-hazard assessment (e.g., Komatitsch et al, 2004;Stupazzini et al, 2009), strengthening our interest in modeling them in detail.…”

Section: Simulations With a 3d Model: Effects Of Geological Structuresmentioning

confidence: 99%

“…Modeling lateral variations in wavespeed, density, and attenuation is of paramount importance in order to accurately reproduce ground motions, as documented in many studies (e.g., Olsen et al, 2003;Komatitsch et al, 2004;Lee et al, 2008;Chaljub, 2009;Lee, Chan, et al, 2009;Stupazzini et al, 2009;Chaljub et al, 2010;Tape et al, 2010). In particular, areas characterized by low wavespeed sedimentary basins may show a very different ground response compared to hardrock sites, with strong amplifications, multiple reverberations, and prolonged shaking (e.g., Rovelli et al, 2001;Olsen et al, 2006;Chaljub et al, 2007;Lee et al, 2008).…”

Section: Simulations With a 3d Model: Effects Of Geological Structuresmentioning

confidence: 99%

“…If need be, the SEM can be implemented as a discontinuous Galerkin method (Kopriva et al, 2002;Kopriva, 2006;Acosta Minolia and Kopriva, 2011). The SEM has been used to study 2D and 3D local, regional, and global seismic-wave propagation problems (e.g., Cohen et al, 1993;Priolo et al, 1994;Faccioli et al, 1997;Komatitsch, 1997;Komatitsch and Vilotte, 1998;Komatitsch and Tromp, 2002a,b;Chaljub and Valette, 2004;Komatitsch et al, 2004Komatitsch et al, , 2005Liu et al, 2004;Stich and Morelli, 2007;Lee et al, 2008;Stich et al, 2009;Stupazzini et al, 2009;Tape et al, 2010;Zhu et al, 2012a,b). In particular, in the recent work of Smerzini and Villani (2012), the SEM implemented in the code GeoELSE (Stupazzini et al, 2009) has been used to simulate near-fault ground motions produced by the 2009 L'Aquila mainshock.…”

Section: Introductionmentioning

confidence: 99%

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Spectral-Element Simulations of Seismic Waves Generated by the 2009 L'Aquila Earthquake

Magnoni¹,

Casarotti²,

Michelini³

et al. 2013

Bulletin of the Seismological Society of America

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We adopt a spectral-element method (SEM) to perform numerical simulations of the complex wavefield generated by the 6 April 2009 M w 6.3 L'Aquila earthquake in central Italy. The mainshock is represented by a finite-fault solution obtained by inverting strong-motion and Global Positioning System data, testing both 1D and 3D wavespeed models for central Italy. Surface topography, attenuation, and the Moho discontinuity are also accommodated. Including these complexities is essential to accurately simulate seismic-wave propagation. Three-component synthetic waveforms are compared to corresponding velocimeter and strong-motion recordings. The results show a favorable match between data and synthetics up to ∼0:5 Hz in a 200 km × 200 km × 60 km model volume, capturing features mainly related to topography or low-wavespeed basins. We construct synthetic peak ground velocity maps that, for the 3D model, are in good agreement with observations, thus providing valuable information for seismic-hazard assessment. Exploiting the SEM in combination with an adjoint method, we calculate finite-frequency kernels for specific seismic arrivals. These kernels capture the volumetric sensitivity associated with the selected waveform and highlight prominent effects of topography on seismic-wave propagation in central Italy.

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Section: Simulations With a 3d Model: Effects Of Geological Structuresmentioning

confidence: 99%

Section: Simulations With a 3d Model: Effects Of Geological Structuresmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Spectral-Element Simulations of Seismic Waves Generated by the 2009 L'Aquila Earthquake

Magnoni¹,

Casarotti²,

Michelini³

et al. 2013

Bulletin of the Seismological Society of America

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show abstract

“…Near-fault ground motions are narrow-banded in nature and are characterized by a predominant period, and structures excited by them are severely affected [7]. Under those conditions, the motion may strongly depend on the complex coupling of the seismic source, rupture process, source-site travel path and local site conditions [8,9]. Strong near-fault ground motion is usually characterized by a long period impulsive motion in the horizontal direction, with large amplitude both in displacement and incremental velocity [10].…”

Section: The Near Field Seismic Inputmentioning

confidence: 99%

“…A main concern is that in spite of the availability of large digital input databases in many seismically active regions of the world, relatively few good quality strong motion records are available in near-field conditions [8]. Due to the lack of adequate data from close earthquakes, equations to estimate the motion are usually derived from intermediate and far-fields records.…”

Section: The Near Field Seismic Inputmentioning

confidence: 99%

Sensitivity Analysis of the Seismic Response of Brittle Structural Elements Under Near-Field Seismic Input Effects

Pineda¹,

Navarro-Rubio²,

Gil-Martí³

2015

Proceedings of the 5th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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Earthquake ground motion modeling of induced seismicity in the Groningen gas field

Paolucci

Mazzieri

Piunno

et al. 2020

Earthq Engng Struct Dyn

Self Cite

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A physics-based numerical approach is used to characterize earthquake ground motion due to induced seismicity in the Groningen gas field and to improve empirical ground motion models for seismic hazard and risk assessment. To this end, a large-scale (20 km × 20 km) heterogeneous 3D seismic wave propagation model for the Groningen area is constructed, based on the significant bulk of available geological, geophysical, geotechnical, and seismological data. Results of physics-based numerical simulations are validated against the ground motion recordings of the January 8, 2018, M L 3.4 Zeerijp earthquake. Taking advantage of suitable models of slip time functions at the seismic source and of the detailed geophysical model, the numerical simulations are found to reproduce accurately the observed features of ground motions at epicentral distances less than 10 km, in a broad frequency range, up to about 8 Hz. A sensitivity analysis is also addressed to discuss the impact of 3D underground geological features, the stochastic variability of seismic velocities and the frequency dependence of the quality factor. Amongst others, results point out some key features related to 3D seismic wave propagation, such as the magnitude and distance dependence of site amplification functions, that may be relevant to the improvement of the empirical models for earthquake ground motion prediction.

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Near-Fault Earthquake Ground-Motion Simulation in the Grenoble Valley by a High-Performance Spectral Element Code

Cited by 94 publications

References 41 publications

Spectral-Element Simulations of Seismic Waves Generated by the 2009 L'Aquila Earthquake

Spectral-Element Simulations of Seismic Waves Generated by the 2009 L'Aquila Earthquake

Sensitivity Analysis of the Seismic Response of Brittle Structural Elements Under Near-Field Seismic Input Effects

Earthquake ground motion modeling of induced seismicity in the Groningen gas field

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