Numerical simulation of geosynthetic-reinforced soil walls under seismic shaking

Lee, Kevin Zeh-Zon; Chang, Nien-Yin; Ko, Hon Yim

doi:10.1016/j.geotexmem.2009.09.008

Cited by 57 publications

(21 citation statements)

References 33 publications

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“…The seismic behaviour of GRS retaining walls has been numerically investigated using mainly FLAC or FLAC3D codes [21,22,26,29,30], DIANA-Swandyne-II [24,25,27], DYNA3D or LS-DYNA [23,28] and ABACUS [14]. Different elements were assumed to model the reinforcement layers (cable elements, shell elements, bar elements, truss elements and beam elements), assuming in general elastic or elastic-plastic behaviour.…”

Section: Numerical Analysesmentioning

confidence: 99%

“…Lee et al [28] used the finite element method program LS-DYNA to numerically simulate the dynamic performance of three large-scale shaking table walls reported by [18]. Discrepancies between the calculated results and measure wall response were attributed to the deficiencies of the constitutive models and idealization of the numerical model.…”

Section: Validation Testmentioning

confidence: 99%

See 1 more Smart Citation

Review of Seismic Performance of Geosynthetic Reinforced Soil Retaining Walls

Vieira¹

2017

Proceedings of the 6th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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Section: Numerical Analysesmentioning

confidence: 99%

Section: Validation Testmentioning

confidence: 99%

Review of Seismic Performance of Geosynthetic Reinforced Soil Retaining Walls

Vieira¹

2017

Proceedings of the 6th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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“…In the current study, the GST reinforcements were simulated with shell element formulation in LS-DYNA due to its computational efficiency. The thickness of the shell element was taken as the average between the rib and the junction thickness [23]. Since the GST showed the bilinear stress-strain behavior, where some hardening behavior had taken place after the initial yield point P as shown in Fig.…”

Section: Gstmentioning

confidence: 99%

Performance of soft-hard-soft (SHS) cement based composite subjected to blast loading with consideration of interface properties

Liu

2015

Front. Struct. Civ. Eng.

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This paper presents a combined experimental and numerical study on the damage and performance of a soft-hard-soft (SHS) multi-layer cement based composite subjected to blast loading which can be used for protective structures and infrastructures to resist extreme loadings, and the composite consists of three layers of construction materials including asphalt concrete (AC) on the top, high strength concrete (HSC) in the middle, and engineered cementitious composites (ECC) at the bottom. To better characterize the material properties under dynamic loading, interface properties of the composite were investigated through direct shear test and also used to validate the interface model. Strain rate effects of the asphalt concrete were also studied and both compressive and tensile dynamic increase factor (DIF) curves were improved based on split Hopkinson pressure bar (SHPB) test. A full-scale field blast test investigated the blast behavior of the composite materials. The numerical model was established by taking into account the strain rate effect of all concrete materials. Furthermore, the interface properties were also considered into the model. The numerical simulation using nonlinear finite element software LS-DYNA agrees closely with the experimental data. Both the numerical and field blast test indicated that the SHS composite exhibited high resistance against blast loading.

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“…The effects of wall parameters, including backfill soil, reinforcement length, reinforcement spacing, reinforcement stiffness, and creep rate of reinforcement were investigated. Lee et al [13] simulated by FEM three full-scale geosynthetic-reinforced soil walls that were seismically loaded by a shaking table. They found that seismic wall displacement decreases with decreasing reinforcement spacing.…”

Section: Literature Reviewmentioning

confidence: 99%