Liquefaction under Random Loading: Unit Energy Approach

Liang, Liqun; Figueroa, J. Ludwig; Saada, Adel S.

doi:10.1061/(asce)0733-9410(1995)121:11(776)

Cited by 77 publications

(31 citation statements)

References 13 publications

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“…This method relies on a direct relationship between energy dissipation and buildup of pore-water pressure during undrained cyclic loading of saturated sands (Nemat-Nasser and Shokooh, 1979;Davis and Berrill, 1982;Simcock et al, 1983;Liang et al, 1995). Berrill and Davis (1982) were the first to develop an energy model for predicting liquefaction at sites in the field.…”

Section: Energy-stress Methodsmentioning

confidence: 99%

Issues in using liquefaction features for paleoseismic analysis

Obermeier¹,

Pond²

1998

Open-File Report

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Section: Energy-stress Methodsmentioning

confidence: 99%

Issues in using liquefaction features for paleoseismic analysis

Obermeier¹,

Pond²

1998

Open-File Report

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“…Researchers have since then attempted to examine the possible application of the energy concept in the evaluation of liquefaction potential (e.g., Davis and Berrill 1982;Law and Cao 1990;Figueroa 1990). Figueroa and coworkers (Figueroa et al 1994;Liang et al 1995) performed torsional shear tests on sand specimens subjected to sinusoidal and random cyclic loadings and formulated generalized equations relating the energy per unit volume required for liquefaction to occur with specific parameters of the soil and the loading characteristics. They identified a list of factors that affect the liquefaction potential of a soil deposit, and considered the influence of what they concluded were the most significant contributing parametersrelative density, confining pressure, and amplitude of the applied shear strain.…”

Section: Use Of Energy To Assess Liquefaction Potentialmentioning

confidence: 99%

Microscale Energy Dissipation Mechanisms in Cyclically-Loaded Granular Soils

Shamy

Denissen

2011

Geotech Geol Eng

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This paper utilizes the Discrete Element Method to characterize energy dissipation mechanisms in cyclically loaded soils based on micromechanical considerations. Computational simulations of consolidated undrained cyclic triaxial tests were conducted at various relative densities and were subjected to cyclic loading of different frequencies and shear strain amplitudes. The different components of microscale energies were monitored during the course of the simulations and characterized into input and dissipated energies. A comparison is made between the dissipated energy computed from microscopic energy components and macroscopic energy calculated based on the area of the deviator stress-axial strain loops. These energies are then used to obtain the specific damping capacity defined as the ratio of dissipated energy during one cycle to the maximum stored elastic energy during the same cycle. The conducted simulations highlight the importance of calculating actual stored energy in the system as opposed to approximating it to be that calculated as the triangular area under the secant modulus. Finally, a series of simulations that resulted in liquefaction are discussed, and the amount of energy dissipated to liquefaction is examined based on these results.

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“…The accumulated energy per unit volume (J/m 3 ) associated with the permanent rearrangement of particles is given by the area inside the hysteresis loop developed during a cycle ( Figure 1). The accumulated energy per unit volume (W) absorbed by the specimen until it liquefies is given as follows (Figueroa et al, 1994;Liang et al, 1995):…”

Section: The Energy-based Methodsmentioning

confidence: 99%

Assessment of Soil Liquefaction Using the Energy Approach

Kayabalı

Yilmaz²,

Fener

et al. 2017

Bulletin of the Mineral Research and Exploration

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Damage to structures during earthquakes may be fully or partly caused by soil liquefaction, which has been the subject of extensive research for several decades. Liquefaction susceptibility of a sandy deposit is performed by comparing the resistance of a soil to liquefaction (i.e., capacity) to the load imparted by an earthquake (i.e., demand). In this regard, the stress-based method of liquefaction assessment is by far the most popular. It involves uncertainties mostly related to the computation of the maximum horizontal ground acceleration (amax) at bedrock. A site response analysis or a simplified assumption is necessary to determine the amax on the ground level as well. Developing from the stressbased approach, the strain-based approach has also similar constraints. There exist laboratory techniques such as torsional shear to determine the capacity of a sandy soil in terms of liquefaction energy per unit volume. Likewise, the energy of a strong motion record can be set by employing simple physics principles.

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Liquefaction under Random Loading: Unit Energy Approach

Cited by 77 publications

References 13 publications

Issues in using liquefaction features for paleoseismic analysis

Issues in using liquefaction features for paleoseismic analysis

Microscale Energy Dissipation Mechanisms in Cyclically-Loaded Granular Soils

Assessment of Soil Liquefaction Using the Energy Approach

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