Probabilistic Models for Uncertainty Quantification of Soil Properties on Site Response Analysis

Tran, Thanh-Tuan; Salman, Kashif; Han, Siqingaowa; Kim, Dookie

doi:10.1061/ajrua6.0001079

Cited by 14 publications

(11 citation statements)

References 23 publications

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“…The results provide scientific support for ensuring the urban geological security of the capital region. At the same time, the stability of building foundations is also a key aspect of urban construction [73][74][75][76], and the results also provide data support for this aspect.…”

Section: Probabilistic Analysis Of Slip On the Main Active Faultsmentioning

confidence: 57%

Impact of Tohoku-Oki 3.11 M9.0 Earthquake on the Fault Slip Potential of the Active Quaternary Faults in Beijing City: New Insights from In Situ Stress Monitoring Data

Fan

Feng

Zhang

et al. 2022

Sensors

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In order to ascertain the impact of the Tohoku-Oki 3.11 M9.0 earthquake on the stability of the faults in the Beijing Plain, we investigated the adjustment of the in situ stress field of the Beijing Plain after this earthquake based on in situ stress monitoring data. Then, we analyzed the stability of the five main faults in each adjustment stage of the in situ stress field based on the Mohr–Coulomb failure criteria and Byerlee’s law. Finally, we studied the fault slip potential (FSP) of the main faults under the current in situ stress field. The research results show that (1) after the Tohoku-Oki 3.11 M9.0 earthquake, the tectonic environment of the Beijing Plain area changed rapidly from nearly EW extrusion to nearly EW extension, and this state was maintained until June 2012. After this, it began to gradually adjust to the state present before the earthquake. As of September 2019, the tectonic environment has not recovered to the state present before the earthquake. (2) The ratios of shear stress to normal stress on the fault plane of the fault subsections in the three time periods before the Tohoku-Oki 3.11 M9.0 earthquake, 6 June 2012 and 8 September 2019 were 0.1–0.34, 0.28–0.52, and 0.06–0.29, respectively. It shows that the stress accumulation level of faults in the Beijing Plain area increased in a short time after the earthquake and then gradually decreased. (3) Under the current in situ stress field, most of the subsections of the five main faults have a low FSP (<5%). The areas with high FSP are mainly concentrated in the central and southeastern parts of the Beijing Plain, including the Nankou-Sunhe fault, the northern section of the Xiadian fault, and the areas where the five faults intersect.

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Section: Probabilistic Analysis Of Slip On the Main Active Faultsmentioning

confidence: 57%

Impact of Tohoku-Oki 3.11 M9.0 Earthquake on the Fault Slip Potential of the Active Quaternary Faults in Beijing City: New Insights from In Situ Stress Monitoring Data

Fan

Feng

Zhang

et al. 2022

Sensors

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“…Rathje et al (2010) indicated that modelling the variation of soil properties with the Monte Carlo simulation method significantly affects the median and standard deviation of the site response. Tran et al (2020) overcome the spatial variability in soil deposits via Monte Carlo simulations and compared the results of simulations with numerical analysis. It has been revealed that the surface response has not been affected by the variation in unit weight as much.…”

Section: Monte Carlo Simulationmentioning

confidence: 99%

“…The response spectra of the surface layer will exhibit higher peaks, and the site frequencies may shift to a lowfrequency portion as the water table is lowered (Yang & Yan, 2009). Tran et al (2020) investigated the soil uncertainties, including shear wave velocity, unit weight, shear modulus reduction and damping on site responses. The randomness in the unit weight has less dispersion effect on the surface response.…”

Section: Introductionmentioning

confidence: 99%

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Influence of input motion and surface layer properties on seismic site response: A stochastic simulation method–based MLR model

Yıldız

2023

Near Surface Geophysics

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Seismic site response analyses are simulations in which the effects of geological conditions on seismic waves are examined. The uncertainties that make these analyses crucial are defined as the source of motion, the travel path of seismic waves, and geological conditions. In this study, a series of non-linear seismic response analyses were performed using data from site investigation studies. The results of non-linear analyses performed under earthquakes with different characteristics based on real soil data were investigated in terms of acceleration time histories and response spectra. The relationship between site response with the surface layer properties and input motion properties used in the simulations was examined in a parametrical manner. Based on the results obtained, Monte Carlo simulation, which is a stochastic data simulation method, was performed. Additionally, multiple regression and variance analysis (ANOVA) was performed on the dataset created by both site response analysis and stochastic simulations. The MLR model displayed highly accurate results with a coefficient of determination, R 2 of 0.9763, and a standard error of 0.109. The efficiency level of the independent variables used as input parameters in the simulations on the dependent variable, AF was examined. It was revealed that the coefficient of lateral earth pressure at rest (K o ), earthquake motion (i.e., PGA of input motion) and surface layer thickness (d surface ) from the soil properties had the highest effect on the amplification factor.

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“…For stochastic problems, material properties, loads, and geometrical dimensions are assumed to be stochastic. Stochastic dynamics problems have been the subject of many studies [20][21][22][23][24]. There are several types of Stochastic Finite Element Methods (SFEM), e.g.…”

Section: Introductionmentioning

confidence: 99%

Stochastic Higher-order Finite Element Model for the Free Vibration of a Continuous Beam resting on Elastic Support with Uncertain Elastic Modulus

Hien

Diem²,

Tan³

et al. 2023

Eng. Technol. Appl. Sci. Res.

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This paper deals with a continuous beam resting on elastic support with elastic modulus derived from a random process. Governing equations of the stochastic higher-order finite element method of the free vibration of the continuous beam were derived from Hamilton's principle. The random process of elastic modulus was discretized by averaging random variables in each element. A solution for the stochastic eigenvalue problem for the free vibration of the continuous beam was obtained by using the perturbation technique, in conjunction with the finite element method. Spectral representation was used to generate a random process and employ the Monte Carlo simulation. A good agreement was obtained between the results of the first-order perturbation technique and the Monte Carlo simulation.

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Probabilistic Models for Uncertainty Quantification of Soil Properties on Site Response Analysis

Cited by 14 publications

References 23 publications

Impact of Tohoku-Oki 3.11 M9.0 Earthquake on the Fault Slip Potential of the Active Quaternary Faults in Beijing City: New Insights from In Situ Stress Monitoring Data

Impact of Tohoku-Oki 3.11 M9.0 Earthquake on the Fault Slip Potential of the Active Quaternary Faults in Beijing City: New Insights from In Situ Stress Monitoring Data

Influence of input motion and surface layer properties on seismic site response: A stochastic simulation method–based MLR model

Stochastic Higher-order Finite Element Model for the Free Vibration of a Continuous Beam resting on Elastic Support with Uncertain Elastic Modulus

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