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Type: Journal article
Title: An empirical approach for the quantification of uniaxial compressive stress-strain of partially saturated granular media under high strain rates
Author: Wang, S.
Shen, L.
Nguyen, G.
Maggi, F.
El-Zein, A.
Zheng, Y.
Citation: Soil Dynamics and Earthquake Engineering, 2019; 120:245-256
Publisher: Elsevier
Issue Date: 2019
ISSN: 0267-7261
Statement of
Shengzhe Wang, Luming Shen, Giang D. Nguyen, Federico Maggi, Abbas El-Zein, Yonggang Zheng
Abstract: While it is qualitatively known that the dynamic stress-strain response of granular media is highly influenced by the initial density and moisture content, a detailed characterization of such behavior has not been reported in the existing literature. This paper proposes a simplified empirical approach to quantify the uniaxial compressive stress-strain behavior of partially saturated granular media at a given saturation and initial dry density that requires only the response at a reference dry density as input. The relations were formulated based on experimental stress-strain data of Stockton Beach sand retrieved using a modified split Hopkinson pressure bar (SHPB) at a strain rate between 1000 and 1300 s⁻¹. The tested sand was confined within a hardened steel tube, exhibiting initial dry densities of 1.46 g/cm³, 1.57 g/cm³, and 1.69 g/cm³ across water saturations ranging from dry to above 90%. Through a parametric investigation, the resulting empirical relations were shown to be promising in representing the specimen behavior before and after the initiation of water lock-up. This study ultimately illustrates the feasibility of empirical modeling techniques in predicting and characterizing the high strain rate response of partially saturated granular media as a bulk system.
Keywords: Unsaturated porous media; split Hopkinson pressure bar; high strain rate; empirical modeling
Rights: © 2019 Elsevier Ltd. All rights reserved.
DOI: 10.1016/j.soildyn.2019.02.014
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Appears in Collections:Aurora harvest 8
Civil and Environmental Engineering publications

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