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Innovative Infrastructure Solutions
Erschienen in: Innovative Infrastructure Solutions 11/2023

01.11.2023 | Technical Paper

Liquefaction analysis of sand-tire mixture with a critical state two-surface plasticity model

verfasst von: Masoud Raveshi, Reza Noorzad

Erschienen in: Innovative Infrastructure Solutions | Ausgabe 11/2023

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Abstract

In recent years, sand reinforced with tire crumbs can be used in many geotechnical applications such as lightweight materials and backfill, vibration isolations, slope stabilizations, thermal insulations, and liquefaction preventing materials. To evaluate the liquefaction potential of sand-tire mixture numerically, it is essential to use a proper constitutive model for the prediction of liquefaction under dynamic loading. In this research, Dafalias and Manzari’s model is used to predict the behavior of the sand-tire mixture, in which unique parameters are applied for different ranges of void ratio and initial stress. Monotonic and cyclic triaxial tests are conducted on the sand-tire mixture at various tire contents to calibrate constitutive model parameters. After the calibration model parameters of the sand-tire mixture, the analysis of liquefaction was carried out. The effects of several parameters including different amounts of tire crumb, the percentage of soil relative density, and different earthquake time histories are also studied. To confirm the model efficiency of this paper, a simulation of the VELACS centrifuge tests of Model No 1 is conducted for liquefaction analysis. The results show that Dafalias and Manzari’s model can be used to predict excess pore water pressure generation. Moreover, the use of tire particles in the sand can improve the liquefaction resistance of the sand.
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Metadaten
Titel
Liquefaction analysis of sand-tire mixture with a critical state two-surface plasticity model
verfasst von
Masoud Raveshi
Reza Noorzad
Publikationsdatum
01.11.2023
Verlag
Springer International Publishing
Erschienen in
Innovative Infrastructure Solutions / Ausgabe 11/2023
Print ISSN: 2364-4176
Elektronische ISSN: 2364-4184
DOI
https://doi.org/10.1007/s41062-023-01262-y

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