Impact of spatial variability of shear wave velocity on the lagged coherency of synthetic surface ground motions

Haber, E. El; Cornou, Cécile; Jongmans, Denis; López-Caballero, Fernando; Abdelmassih, D. Youssef; Al-Bittar, Tamara

doi:10.1016/j.soildyn.2021.106689

Cited by 6 publications

(4 citation statements)

References 52 publications

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“…In addition, large coefficients of variation were chosen to provide high geological contrasts, following the normal distribution N (0.2, 0.1). Coefficients of variation around 20 % are common at the surface (Arroucau, 2020), while it is known that values up to 40 % can be found locally (El Haber et al, 2021).…”

Section: Addition Of Heterogeneitiesmentioning

confidence: 99%

Synthetic ground motions in heterogeneous geologies: the HEMEW-3D dataset for scientific machine learning

Lehmann,

Gatti,

Bertin

et al. 2024

Preprint

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Abstract. The ever-improving performances of physics-based simulations and the rapid developments of deep learning are offering new perspectives to study earthquake-induced ground motion. Due to the large amount of data required to train deep neural networks, applications have so far been limited to recorded data or two-dimensional simulations. To bridge the gap between deep learning and high-fidelity numerical simulations, this work introduces a new database of physics-based earthquake simulations. The HEMEW-3D database comprises 30,000 simulations of elastic wave propagation in three-dimensional (3D) geological domains. Each domain is parametrized by a different geological model built from a random arrangement of layers augmented by random fields that represent heterogeneities. For each simulation, ground motion is synthetized at the surface by a grid of virtual sensors. The high frequency of waveforms (fmax = 5 Hz) allows extensive analyses of surface ground motion. Existing and foreseen applications range from statistic analyses of the ground motion variability and machine learning methods on geological models, to deep learning-based predictions of ground motion depending on 3D heterogeneous geologies.

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Section: Addition Of Heterogeneitiesmentioning

confidence: 99%

Synthetic ground motions in heterogeneous geologies: the HEMEW-3D dataset for scientific machine learning

Lehmann,

Gatti,

Bertin

et al. 2024

Preprint

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“…To predict coherency with heterogeneous soil layers, the existing prediction model is compared with those from the 2D nonlinear analysis result. The functional forms of the coherency models as compared in 12 (Table 2) are analyzed in this study . The Luco and Wong 17 and Sato et al 18 .…”

Section: Variability Of Ground Motion Coherencymentioning

confidence: 99%

“…The variability and inhomogeneous soil properties are seldom considered. Recently, several studies have been considering the variability of soil properties in site response analysis 4–11 and investigating their effect on ground motion coherency 12 …”

Section: Introductionmentioning

confidence: 99%

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Influence of horizontally variable soil properties on nonlinear seismic site response and ground motion coherency

Chang

Tsai

et al. 2021

Earthq Engng Struct Dyn

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The objective of this study is to quantify the effect of the spatial variability of soil properties on site response and ground motion coherency. A 2D random field theory is used to simulate soil parameters, including shear wave velocity (Vs) and nonlinear stress–strain curves. Different levels of spatial variability are controlled by coefficient of variation (COV) and correlation length (CL). The wave prorogation is simulated through the 2D finite difference software FLAC2D. Different types of analysis conditions, such as 1D or 2D model, linear or nonlinear analysis, and input motion, are investigated. The increase of Vs variability leads to a decrease in the mean amplification ratio (surface response spectrum to bedrock response spectrum) but an increase in its variation. The effect of the variability of soil nonlinearity on the mean amplification ratio is marginal compared with that induced by Vs variability. However, as the ground motion intensities increase (or more nonlinearity induced), the standard deviation of the simulation normalized by the baseline response increases. Compared with the 2D result, the 1D site response analysis that is commonly used in practice may potentially underestimate the mean amplification ratio but overestimate its variability due to the ignorance of the horizontal soil property variability. In the evaluation of the spatially correlated site response, the ground motion coherency decays significantly, as the COV of Vs and the ground motion intensity increase. The effect of CL on ground motion coherency is minor and limited to a separation distance within two‐times of CL. Therefore, a coherency model, which eliminates the CL term but includes the ground motion intensity (i.e., nonlinear effect) parameter, is proposed in this study. It is revealed to yield a better agreement with the simulation results than other coherency models.

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Spatial coherency analysis of seismic motions from a hard rock site dense array in Busan, Korea

Lee,

Kim

et al. 2024

Bull Earthquake Eng

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Impact of spatial variability of shear wave velocity on the lagged coherency of synthetic surface ground motions

Cited by 6 publications

References 52 publications

Synthetic ground motions in heterogeneous geologies: the HEMEW-3D dataset for scientific machine learning

Synthetic ground motions in heterogeneous geologies: the HEMEW-3D dataset for scientific machine learning

Influence of horizontally variable soil properties on nonlinear seismic site response and ground motion coherency

Spatial coherency analysis of seismic motions from a hard rock site dense array in Busan, Korea

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