Effect of the vertical earthquake component on permanent seismic displacement of soil slopes based on the nonlinear Mohr–Coulomb failure criterion

Zhao, Lianheng; Cheng, Xiao; Dan, Han-Cheng; Tang, Zu-ping; Zhang, Yingbin

doi:10.1016/j.sandf.2016.12.002

Cited by 52 publications

(21 citation statements)

References 34 publications

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“…The 1000 epochs were given for sample signals in the seismic records (Sinha et al, 2010). The vertical component of an earthquake was the most dangerous because the earthquake forces mostly acted on the centre of gravity of the sliding soil mass, and the influences of vertical ground motions were on the seismic-induced displacements of the structures (Sawicki et al, 2007;Zhao et al, 2017). Therefore, these four vertical components, taken from the records, were predicted by the previously mentioned parameters and framework as a BPNN, using two hidden layers with 10 neurons in each layer to update the weight and bias to minimise backpropagation errors; these learning rates were found to be the best for minimising backpropagation errors.…”

Section: Resultsmentioning

confidence: 99%

Backpropagation neural network as earthquake early warning tool using a new modified elementary Levenberg–Marquardt Algorithm to minimise backpropagation errors

Lin

Chao

Chiou

2018

Geosci. Instrum. Method. Data Syst.

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Abstract.A new modified elementary LevenbergMarquardt Algorithm (M-LMA) was used to minimise backpropagation errors in training a backpropagation neural network (BPNN) to predict the records related to the ChiChi earthquake from four seismic stations: Station-TAP003, Station-TAP005, Station-TCU084, and Station-TCU078 belonging to the Free Field Strong Earthquake Observation Network, with the learning rates of 0.3, 0.05, 0.2, and 0.28, respectively. For these four recording stations, the M-LMA has been shown to produce smaller predicted errors compared to the Levenberg-Marquardt Algorithm (LMA). A sudden predicted error could be an indicator for Early Earthquake Warning (EEW), which indicated the initiation of strong motion due to large earthquakes. A trade-Off decision-making process with BPNN (TDPB), using two alarms, adjusted the threshold of the magnitude of predicted error without a mistaken alarm. With this approach, it is unnecessary to consider the problems of characterising the wave phases and pre-processing, and does not require complex hardware; an existing seismic monitoring network-covered research area was already sufficient for these purposes.

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Section: Resultsmentioning

confidence: 99%

Backpropagation neural network as earthquake early warning tool using a new modified elementary Levenberg–Marquardt Algorithm to minimise backpropagation errors

Lin

Chao

Chiou

2018

Geosci. Instrum. Method. Data Syst.

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“…Method. Since the nonlinear PL failure criterion was firstly proposed by Zhang & Chen [9] to express the failure envelopes of cohesive soils, numerous researchers have applied this nonlinear criterion into the slope stability analysis [11,[14][15][16][17]. For the PL failure criterion, the shear stress on the slope slip surface is expressed in the form of normal stress , as follows:…”

Section: Pl Strength Criterion and Tangentialmentioning

confidence: 99%

“…To implement the use of nonlinear strength criteria for slope engineering, the tangential method was originally proposed by Drescher & Christopoulos [29] to conduct the limit analysis of slope stability. Then, many researchers employed the proposed tangential method to evaluate the slope safety in the 2D or 3D conditions [11,[14][15][16][17]28]. Their studies could demonstrate the validity of stability results obtained from the tangential method for slope engineering applications.…”

Section: Pl Strength Criterion and Tangentialmentioning

confidence: 99%

“…Hence, many researchers then utilized some presented nonlinear strength criteria to conduct slope stability analysis (e.g., Charles & Soares [8]; Zhang & Chen [9]; Dawson et al [10]; Yang & Yin. [11]; Li et al [12]; Shen & Karakus [13]; Gao et al [14,15]; Zhao et al [16]; Xu & Yang [17]). However, these nonlinear failure criteria are not presented in forms of MC strength parameters and they cannot be directly used in practice for slope design.…”

Section: Introductionmentioning

confidence: 99%

“…For slopes in soils, a number of researchers have used a Power-Law (PL) type of nonlinear strength envelope for the evaluation of slope safety (e.g., Charles & Soares [8]; Zhang & Chen [9]; Yang & Yin [11]; Gao et al [14,15]; Zhao et al [16]; Xu & Yang [17]). To determine the MC strength parameters of soil slopes with the PL failure criterion, this study adopted the tangential method to carry out the 3D limit analysis method for slope stability assessment.…”

Section: Introductionmentioning

confidence: 99%

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Determination of Mohr–Coulomb Parameters from Nonlinear Strength Criteria for 3D Slopes

Wang

Qiu

et al. 2019

Mathematical Problems in Engineering

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Many experimental data have illustrated that the strength envelops for soils are not linear. Nevertheless, the linear Mohr–Coulomb (MC) strength parameters are widely applied for the conventional method, software codes, and engineering standards in the slope design practice. Hence, this paper developed the 3D limit analysis for the stability of soil slopes with the nonlinear strength criterion. Based on a numerical optimization procedure written in Matlab software codes, the equivalent MC parameters (the equivalent friction angle and the equivalent cohesion) from the nonlinear strength envelopes were derived with respect to the least upper-bound solutions. Further investigations were made to assess the influences of nonlinear strength parameters and slope geometries on the equivalent MC parameters. The presented results indicate that the equivalent MC parameters are closely related to the nonlinear strength parameters. As the inclination angle increases, the equivalent friction angle becomes bigger, but the equivalent cohesion becomes smaller. Besides, 3D effects on the equivalent MC parameters were found to be slight. The presented approach for the determination of MC strength parameters is analytical and rigorous, and the approximate MC strength parameters in the provided design tables can be alternative references for practical use.

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Seismic displacement of earth slopes incorporating co‐seismic accumulation of dynamic pore water pressure

Zhang

et al. 2023

Earthq Engng Struct Dyn

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The earthquake-induced displacement of sloping soil mass is an important indicator of co-seismic landslide initiation. In this paper, an improved Newmark displacement model that considers the accumulation of dynamic pore water pressure (DPWP) in the soil caused by both vertical and horizontal ground motions is proposed. The model can quantitatively describe the dynamic changes of the seismic yield acceleration of near-saturated infinite soil slopes. Three different types of ground motion time histories are selected to compare the performance of the proposed Newmark displacement model, and the influence of DPWP accumulation on the slope yield acceleration and on the seismic displacement is obtained. The seismic slope displacement analyses indicate that the weakening effect of slope yield acceleration caused by bidirectional earthquake excitation-induced DPWP is more obvious than when only considering the horizontal ground motion, when the slip surface soils are in near-saturated state.The effect of initial saturation (S r0 ) on the DPWP accumulation caused by vertical ground motion is also investigated. Furthermore, the accumulated seismic displacement can be reasonably explained by the frequency distribution characteristics of the ground motions. Finally, the numerical results of this paper show that the seismic displacement model seldomly considering the effect of DPWP, or only considering the DPWP induced by horizontal ground motion, can significantly underestimate the displacement value when the slip surface soils are in a near-saturated state.

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Effect of the vertical earthquake component on permanent seismic displacement of soil slopes based on the nonlinear Mohr–Coulomb failure criterion

Cited by 52 publications

References 34 publications

Backpropagation neural network as earthquake early warning tool using a new modified elementary Levenberg–Marquardt Algorithm to minimise backpropagation errors

Backpropagation neural network as earthquake early warning tool using a new modified elementary Levenberg–Marquardt Algorithm to minimise backpropagation errors

Determination of Mohr–Coulomb Parameters from Nonlinear Strength Criteria for 3D Slopes

Seismic displacement of earth slopes incorporating co‐seismic accumulation of dynamic pore water pressure

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