Simplified Procedure for the Performance-Based Prediction of Lateral Spread Displacements

Ekstrom, Levi T.; Franke, Kevin W.

doi:10.1061/(asce)gt.1943-5606.0001440

Cited by 15 publications

(3 citation statements)

References 36 publications

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“…Kramer (2008Kramer ( , 2013 presented a comprehensive review of performance-based design and its application to geotechnical problems, such as seismic slope displacement and soil liquefaction. Franke and Kramer (2014) and Ekstrom and Franke (2016) developed performance-based procedures for lateral spread displacements. Liu et al (2021) developed a performance-based procedure for assessing liquefaction-induced building settlement, which used the Juang et al (2013) and Bray and Macedo (2017) models to estimate volumetric-and shear-induced components of settlement, respectively.…”

Section: Previous Studiesmentioning

confidence: 99%

Performance-based probabilistic liquefaction-induced ground settlement procedure

Olaya,

Bray,

Abrahamson

2024

Earthquake Spectra

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Performance-based procedures represent an improvement over current state-of-practice procedures that treat the assessment of seismic demand and engineering response parameters independently. Procedures used in current practice generally provide estimates of liquefaction-induced ground settlement that are inconsistent with the desired ground settlement hazard level. A recently developed probabilistic procedure to estimate liquefaction-induced ground settlement is employed to develop a new performance-based procedure that estimates ground settlement which accounts for key sources of uncertainty. The ground-motion intensity and ground settlement estimations are integrated in the proposed procedure to produce hazard curves for liquefaction-induced ground settlement. The hazard curve for ground settlement links different hazard levels with their corresponding values of ground settlement by evaluating a wide range of ground-motion intensities and site characterization parameters with their associated uncertainties. The proposed performance-based procedure also permits the evaluation of different sources of uncertainty and their effects on the ground settlement estimate.

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Section: Previous Studiesmentioning

confidence: 99%

Performance-based probabilistic liquefaction-induced ground settlement procedure

Olaya,

Bray,

Abrahamson

2024

Earthquake Spectra

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“…Hsieh and Lee [6], relying on plenty of strong earthquake data, introduced a new displacement prediction model through data regression based on Arias intensity and yield acceleration. Ekstrom and Franke [7], incorporating generalized site conditions and lateral spreading reference parameter maps, devised a performance-based probabilistic lateral spreading model for liquefaction induced by earthquakes of recurrence period. Du and Wang [8], employing a probabilistic approach, based one-step lateral spreading prediction model on four seismic parameters, moment magnitude, rupture distance, fault type, and average shear wave velocity of the top 30 meters of soil.…”

Section: Introductionmentioning

confidence: 99%

Prediction of liquefaction-induced lateral spreading based on Neural network

Yang,

Lin,

et al. 2024

J. vibroeng.

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In light of inherent errors associated with the existing methods for predicting lateral spreading of liquefied soil during earthquakes, a novel approach has been proposed. Based on the Newmark sliding block method, a neural network model has been trained to calculate lateral liquefaction displacement, which was achieved by compiling a substantial dataset and establishing a comprehensive seismic motion database. Taking into consideration six input features to train the sensitivity model, based on the sensitivity analysis, a predictive model for liquefaction-induced lateral spreading was developed include three parameters, moment magnitude, peak ground acceleration and yield acceleration. This model was then compared to empirical lateral spreading prediction models. The results demonstrate that this model shows notable concurrence with the existing empirical models. Additionally, using 22 well-documented cases of liquefaction-induced lateral spreading, three high-quality models were employed to predict residual shear strength of the soil. Notably, this novel model surpasses the performance of empirical liquefaction-induced lateral spreading prediction models.

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“…Regarding the empirical methods, the soil properties, seismic motions, and the site geometry of the case histories were used to develop regression models by many researchers [1][2][3][4][5][6][7]. Considering the effects of seismological parameters, geotechnical parameters of soil, and site geometry on the lateral spreading, the probabilistic methods [8][9][10] were established based on the statistical analysis of the case histories. Various types of constitutive models of liquefied soil were adopted in the numerical methods [11][12][13][14][15] to simulate the problems involving the lateral spreading.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Lateral Spreading Using Newmark Method Based on Liquefaction Triggering

Yang

Chen

Zhang³

2020

Advances in Civil Engineering

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The prediction of liquefaction-induced lateral spreading is an important geotechnical engineering problem. In this paper, a simplified prediction method based upon Newmark sliding block analysis was proposed to predict the liquefaction-induced lateral spreading. The acceleration time history beneath the liquefied soil (starting from the triggering time of liquefaction) and the postliquefaction yield acceleration corresponding with the residual shear strength of liquefiable soil were used in the Newmark sliding block analysis. One-dimensional effective stress analysis was conducted to obtain the motion beneath the liquefied soil and the liquefaction time. Limit equilibrium analysis was employed to determine the postliquefaction yield acceleration using the residual shear strength of liquefied soil, which correlated with the equivalent clean sand SPT blow count of the liquefied sand. This method was evaluated against five well-documented case histories and the predicted displacements of lateral spreading were subsequently compared with the observed displacements. In addition, the lateral spreading predicted by the rigorous Newmark sliding block method and numerical difference analysis was presented. Based on the statistical analysis of the displacement ratios, it suggested that the method proposed in this paper identified the triggering time of liquefaction and provided a reasonable prediction of the liquefaction-induced lateral spreading with an RMSE (root mean square error) of 0.63, a standard deviation of 0.40, and a CV (coefficient of variance) of 0.60, respectively.

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Simplified Procedure for the Performance-Based Prediction of Lateral Spread Displacements

Cited by 15 publications

References 36 publications

Performance-based probabilistic liquefaction-induced ground settlement procedure

Performance-based probabilistic liquefaction-induced ground settlement procedure

Prediction of liquefaction-induced lateral spreading based on Neural network

Evaluating Lateral Spreading Using Newmark Method Based on Liquefaction Triggering

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