Site dependent and spatially varying response spectra

Berkane, Hakima Djilali; Harichane, Zamila; Çelebi, Erkan; Elachachi, Sidi Mohammed

doi:10.1007/s11803-019-0517-6

Cited by 10 publications

(3 citation statements)

References 41 publications

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“…As can be seen in Table 1, with the dimensionless frequency of the incident wave from 0.5 to 2, the coefficient of variation increases significantly, and the mean value increases by 35.87 times at most (vertical). The results show that the randomness of porosity has a large effect on the displacement at high frequency, which accords with the fluctuation law.…”

Section: Effect Of Porosity On Saturated Sedimentary Valleysmentioning

confidence: 92%

“…In order to reveal the response of ground motion in various conditions, more studies focus on the influence of the change and randomness of the site medium, boundary, and others on ground motion. Djilali Berkane, H. et al [35] used the random method to solve the response of underground pipelines under spatially randomly distributed earthquakes. Liu, Z.X.…”

Section: Introductionmentioning

confidence: 99%

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Effect of Randomness of Parameters on Amplification of Ground Motion in Saturated Sedimentary Valley

Liu²,

Liu³

et al. 2023

Applied Sciences

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Based on Biot’s theory and the indirect boundary element method (IBEM), the Monte Carlo method is utilized to generate random samples to calculate the displacement response of a saturated sedimentary valley under SV wave incidence. The purpose of this paper is to explore the effects of randomness of porosity, permeability coefficient, and geometric shape on the seismic amplification effect of saturated complex sites. It is shown that the change of media porosity in the saturated site with defined boundary has relatively little influence on the ground motion, and the influence of the permeability coefficient is slightly larger. While in the site with a random boundary, the influence of both the porosity and permeability coefficient are significant, which cannot be ignored. The conclusion plays an important guiding role in earthquake disaster prevention and mitigation, such as seismic risk analysis and earthquake microzonation in saturated sedimentary valleys.

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Section: Effect Of Porosity On Saturated Sedimentary Valleysmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Effect of Randomness of Parameters on Amplification of Ground Motion in Saturated Sedimentary Valley

Liu²,

Liu³

et al. 2023

Applied Sciences

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show abstract

“…To account for these local variations, probabilistic modeling approaches using random fields [25] have been widely applied in geotechnical studies [among others, 26, 27, 28]. In earthquake engineering, several studies carried out over the past 20 years have emphasized the effect of the variability of seismic soil properties on SVEGM mainly considering 1D stochastic seismic wave propagation [among other, 29,30,31,32], few studies focusing on 2D stochastic wave propagation [among others ; 33, 34, 35, 36, 37, 33].…”

Section: Introductionmentioning

confidence: 99%

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

Haber

Cornou

Jongmans

et al. 2021

Soil Dynamics and Earthquake Engineering

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Stochastic nonlinear ground response analysis considering existing boreholes locations by the geostatistical method

Amjadi

Johari

2022

Bull Earthquake Eng

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The field and laboratory evidence of nonlinear soil behavior, even at small strains, emphasizes the importance of employing nonlinear methods in seismic ground response analysis.Additionally, determination of dynamic characteristics of soil layers always includes some degree of uncertainty. Most of previous stochastic studies of ground response analysis have focused only on uncertainties of soil parameters, and the effect of soil sample location has been mostly ignored. This study attempts to couple nonlinear time-domain ground response analysis with uncertainty of soil parameters considering existing boreholes' location through a geostatistical method using a program written in MATLAB. To evaluate the efficiency of the proposed method, stochastic seismic ground responses at construction location were compared with those of the non-stationary random field method through real site data. The results demonstrate that applying the boreholes' location significantly affects not only the ground responses but also their Coefficient Of Variation (COV). Furthermore, the mean value of the seismic responses is affected more considerably by the values of soil parameters at the vicinity of the construction location. It is also inferred that considering boreholes' location may reduce the COV of the seismic responses. Among the surface responses in the studied site, the values of Peak Ground Displacement (PGD) and Peak Ground Acceleration (PGA) reflect the highest and lowest dispersion due to uncertainties of soil propertiesthrough both non-stationary random field and geostatistical methods.

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Site dependent and spatially varying response spectra

Cited by 10 publications

References 41 publications

Effect of Randomness of Parameters on Amplification of Ground Motion in Saturated Sedimentary Valley

Effect of Randomness of Parameters on Amplification of Ground Motion in Saturated Sedimentary Valley

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

Stochastic nonlinear ground response analysis considering existing boreholes locations by the geostatistical method

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