Seismic assessment of sheet pile reinforcement effect on river embankments constructed on a soft foundation ground including soft estuarine clay

Nakai, Kentaro; Noda, Toshihiro; Kato, Kenta

doi:10.1139/cgj-2016-0019

Cited by 9 publications

(6 citation statements)

References 16 publications

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“…Table 1 shows the correct parameters. These parameters are for alluvial clays, as determined by Nakai et al [29]. Figs.…”

Section: Calculation Results and Correct Parameters For The Evaluatio...mentioning

confidence: 96%

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Efficient Automatic Estimation of Soil Constitutive Model Parameters by Particle Swarm Optimization

Sakai,

Nakano

2023

Preprint

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Performance design is important for soil structures, and detailed analyses are performed using the finite element method and other methods. Parameters for such analysis are often estimated from soil test results. In this study, we proposed a method to estimate the parameters of the modified Cam-Clay model using dynamic multiswarm PSO (DMS-PSO). To examine the validity of the proposed method, we examined whether constitutive model parameters can be correctly estimated from the results computed by the model (consideration (1)) and whether the proposed methods can always obtain the same parameters when reproducing the experiment (consideration (2)). In the consideration (1), the search success rate was clearly increased by using DMS-PSO compared to ordinary PSO. In addition, the search was successfully conducted if the number of ‘particles’ was more than 400 and the number of ‘islands’ was more than 40. When two experiments were conducted, the search was quicker and more stable than when targeting a single experiment. In the consideration (2), parameters were able to be estimated from the experimental results automatically and reproduce the experimental results well. Since the coefficient of variation of the parameters obtained through 100 times estimation was at most 1%, this method was able to estimate almost the same parameters each time. Narrowing the solution search range of the physical properties reduced the variation in the parameters obtained. Additionally, the parameters can be estimated by at least 2 mechanical experiments.

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“…Table 1 shows the correct parameters. These parameters are for alluvial clays, as determined by Nakai et al [29]. Figs.…”

Section: Calculation Results and Correct Parameters For The Evaluatio...mentioning

confidence: 96%

“…In this study, wL = 97.4% and Ip= 54.1 [29]; these values were substituted for the equations shown in Table 2, and the ranges of 𝜆 ̃ and 𝜅̃ were set shown in Table 3. The range of Μ ̃ was determined by following the method described in Section 3.3.…”

Section: The Validation Of the Parametersmentioning

confidence: 99%

Efficient Automatic Estimation of Soil Constitutive Model Parameters by Particle Swarm Optimization

Sakai,

Nakano

2023

Preprint

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“…The parameters were identified by reproducing the shear behavior to the compression behavior with a single set of material constants. For detail, please see reference [5]. 2 shows the elastic parameters of sheet piles used in this analysis.…”

Section: Analysis Conditionmentioning

confidence: 99%

Seismic Performance Evaluation of PFS Method by Soil-Water Coupled Finite Deformation Analysis

Nakai¹

2022

GEOMATE

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The PFS method (Partially Floating Sheet pile method) has been frequently used as a countermeasure to reduce settlement during embankment construction due to the edge cutting effect near the embankment toe. However, the anti-seismic effect has not yet been fully discussed. Therefore, to expand the applicability of the PFS method, seismic response analyses for river embankments on sand -clay alternating soft ground was conducted using soil-water coupled finite deformation analysis. As a result, it was shown that the embankment damage (settlement of the embankment crown and horizontal displacement of the embankment toe) caused by the earthquake decreased in the order of no countermeasure, floating sheet pile method, PFS method, and end bearing sheet pile method, which indicates that the anti-seismic effect of the PFS method was confirmed. Moreover, the PFS method was considered to be more effective in suppressing lateral flow, especially near the ground surface, compared with the floating sheet pile method.

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“…These volumes are expressed as cubic meters per unit meter in the y-direction. Figure 13 depicts the conceptual interpretations associated with volumes (1) and (2). Volume (1) increases with increasing values of B, because soil passes through between the endbearing sheet-piles.…”

Section: B) Volume Of Lateral Deformationmentioning

confidence: 99%

3-D Numerical Analysis of Partial Floating Sheet-Pile Method as Countermeasure for Liquefaction

Fujiwara

Ogawa²,

Nakai

2021

Journal of JSCE

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The Partial Floating Sheet-pile (PFS) method is a method used to install sheet-piles near the toe of an embankment to inhibit the settling of the embankment built on soft clay ground. This method combines partially floating sheet-piles and end-bearing sheet-piles. Originally, the PFS method was developed as an anti-subsidence countermeasure by the weight of a river embankment built on soft clay ground in a residential area. The PFS method could be effective against soil deformation caused by consolidation and liquefaction during the 2016 Kumamoto earthquake. However, quantitative discussions are still needed to clarify its effectiveness against liquefaction. Therefore, the authors carried out numerical analyses using LIQCA3D17 to evaluate the effectiveness of the PFS method quantitatively. As a result, the interval between the end-bearing sheet-piles was found to be an important factor for embankment settlement, and the installation of the end-bearing sheet-piles alternately could be reasonable.

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Seismic assessment of sheet pile reinforcement effect on river embankments constructed on a soft foundation ground including soft estuarine clay

Cited by 9 publications

References 16 publications

Efficient Automatic Estimation of Soil Constitutive Model Parameters by Particle Swarm Optimization

Efficient Automatic Estimation of Soil Constitutive Model Parameters by Particle Swarm Optimization

Seismic Performance Evaluation of PFS Method by Soil-Water Coupled Finite Deformation Analysis

3-D Numerical Analysis of Partial Floating Sheet-Pile Method as Countermeasure for Liquefaction

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