Investigation of the earthquake ground motion coherence in heterogeneous non-linear soil deposits

Gatti, Filippo; Paludo, Luciano de Carvalho; Svay, Angkeara; López-Caballero, Fernando; Cottereau, Régis; Clouteau, Didier

doi:10.1016/j.proeng.2017.09.232

Cited by 10 publications

(8 citation statements)

References 11 publications

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“…Physics-based numerical modeling already proved in the recent past to be well suited for global (Graves, 1996;Wald and Graves, 1998;Pitarka et al, 1998;Komatitsch and Tromp, 2002a,b) and regional scale simulations (Bao et al, 1998;Olsen, 2000;Dumbser and Käser, 2006;Day et al, 2008;Tsuda et al, 2011;Smerzini and Villani, 2012;Taborda and Bielak, 2014;Villani et al, 5 2014; Paolucci et al, 2015;Chaljub et al, 2015;Gatti et al, 2017), making potentially feasible the challenging problem of a multi-scale simulation from the seismic source to the structural response within a single computational model (Mazzieri et al, 2013;Isbiliroglu et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Broadband Ground Motions from 3D Physics‐Based Numerical Simulations Using Artificial Neural Networks

Paolucci

Gatti

Infantino

et al. 2018

Bulletin of the Seismological Society of America

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In this paper, a novel strategy to generate broad-band earthquake ground motions from the results of 3D physics-based numerical simulations (PBS) is presented. Physics-based simulated ground motions embody a rigorous seismic wave propagation model (i.e., including source-, path-and site-effects), which is however reliable only in the long period range (typically above 0.75-1 s), owing to the limitations posed both by computational constraints and by insufficient knowledge of the medium at short wavelengths. To cope with these limitations, the proposed approach makes use of Artificial Neural Networks (ANN), trained on a set of strong motion records, to predict the response spectral ordinates at short periods. The essence of the procedure is, first, to use the trained ANN to estimate the short period response spectral ordinates using as input the long period ones obtained by the PBS, and, then, to enrich the PBS time-histories at short periods by scaling iteratively their Fourier spectrum, with no phase change, until their response spectrum matches the ANN target spectrum. After several validation checks of the accuracy of the ANN predictions, the case study of the M6.0 Po Plain earthquake of May 29, 2012 is illustrated as a comprehensive example of application of the proposed procedure. The capability of the proposed approach to reproduce in a realistic way the engineering features of earthquake ground motion, including the peak values and their spatial correlation structure, is successfully proved.

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Section: Introductionmentioning

confidence: 99%

Broadband Ground Motions from 3D Physics‐Based Numerical Simulations Using Artificial Neural Networks

Paolucci

Gatti

Infantino

et al. 2018

Bulletin of the Seismological Society of America

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“…They are efficiently generated with a spectral method proposed by Shinozuka and Deodatis [29]. For example, the density random field This kind of structure can be used to model heterogeneous media, such as soil [30] or railway ballast [31]. The selected parameters are summarized in Table 1.…”

Section: Test Case: 2d-dft Computation Of An Infinite Periodic Heteromentioning

confidence: 99%

A general superelement generation strategy for piecewise periodic media

Pinault

Arlaud

Balmès³

2020

Journal of Sound and Vibration

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Structures composed of repetitions of multiple identical cells are common and have been the object of a large body of literature on waveguides, periodic media, and cyclic symmetry. Starting from a cell model, possibly with a large number of Degrees of Freedom both inside the cell and on its edges, the objective of this paper is to propose a Ritz-Galerkin reduction procedure retaining the standard second order model form and periodicity properties of the original model, while controlling accuracy in terms of model bandwidth and reproduction of the forced response to applied loads. The procedure is classically decomposed in two phases: subspace learning and basis generation. For the learning phase, Wave Finite Element (WFE) and periodic computations are presented as alternatives. The latter are then preferred for their easier control on the reduced model accuracy using classical modal synthesis and the simple choice of few target wavelengths. For the basis generation phase, constraints needed to generate a periodic superelement are defined and numerical procedures to generate a basis verifying those constraints are proposed. The validity of the reduction is demonstrated for the case of a cell with random elastic properties presenting bandgaps, local modes and wavemode crossing. Accurate predictions of modes and damped forced response are given for both the infinite and finite cases, using frequency and time simulations. The proposed analysis illustrates tracking of waveshapes, evaluation of significant waves by computation of the forced response in the frequency/wavenumber domain and interpretation of the relation between the infinite and finite forced responses. The case of a railway track with edges and transitions between multiple periodic zones is finally used to illustrate scalability issues.

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“…To represent the material rheology (i.e., elastic, viscoelastic, and non-linear hysteretic stress-strain relationships that are typical of geomaterials) [37,38]; 3.…”

Section: Introductionmentioning

confidence: 99%

SEM3D: A 3D High-Fidelity Numerical Earthquake Simulator for Broadband (0–10 Hz) Seismic Response Prediction at a Regional Scale

et al. 2022

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In this paper, we present SEM3D: a 3D high-fidelity numerical earthquake simulator that is tailored to predict the seismic wave field of complex earthquake scenarios from the fault to the epicenter site. SEM3D solves the wave-propagation problem by means of the spectral element method (SEM). The presented demonstrative test case was a blind MW6.0 earthquake scenario at the European experimental site located in the sedimentary basin of Argostoli on the island of Kefalonia (Western Greece). A well-constrained geological model, obtained via geophysical inversion studies, and seismological model, given the large database of seismic traces recorded by the newly installed ARGONET network, of the site were considered. The domain of interest covered a region of 44 km × 44 km × 63 km, with the smallest grid size of 130 m × 130 m × 35 m. This allowed us to simulate the ground shaking in its entirety, from the seismic source to the epicenter site within a 0–10 Hz frequency band. Owing to the pseudo-spectral nature of the numerical method and given the high polynomial order (i.e., degree nine), the model featured 1.35·1010 DOFs (degrees of freedom). The variability of the synthetic wave field generated within the basin is assessed herein, exploring different random realizations of the mean velocity structure and heterogeneous rupture path.

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Investigation of the earthquake ground motion coherence in heterogeneous non-linear soil deposits

Cited by 10 publications

References 11 publications

Broadband Ground Motions from 3D Physics‐Based Numerical Simulations Using Artificial Neural Networks

Broadband Ground Motions from 3D Physics‐Based Numerical Simulations Using Artificial Neural Networks

A general superelement generation strategy for piecewise periodic media

SEM3D: A 3D High-Fidelity Numerical Earthquake Simulator for Broadband (0–10 Hz) Seismic Response Prediction at a Regional Scale

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