Statistical Characterization of Boundary Kinematics Observed on a Series of Triaxial Sand Specimens

This paper follows up on a reference paper that inspired MDPI’s topic “Stochastic Geomechanics: From Experimentation to Forward Modeling”, in which the authors populated a spatio–temporal database of boundary displacement fields from a series of triaxial sand specimens using three-dimensional (3D) d...

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Main Authors: Yichuan Zhu, Zenon Medina-Cetina
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/12/22/11413
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author Yichuan Zhu
Zenon Medina-Cetina
author_facet Yichuan Zhu
Zenon Medina-Cetina
author_sort Yichuan Zhu
collection DOAJ
description This paper follows up on a reference paper that inspired MDPI’s topic “Stochastic Geomechanics: From Experimentation to Forward Modeling”, in which the authors populated a spatio–temporal database of boundary displacement fields from a series of triaxial sand specimens using three-dimensional (3D) digital image correlation analysis. The database was curated and is currently available to the scientific community for further study. This paper uses a subset of this database, in which the experimental conditions were similar, to statistically investigate the dominant kinematic phenomena observed on the boundary of triaxial sand specimens under compression. The first-order 3D kinematic operators under the cylindrical coordinates, comprised of the <i>divergence</i>, <i>curl</i>, and <i>gradient</i>, were applied to the boundary displacement fields to illustrate the localization deformation patterns including the translational, rotational, shearing, and volumetric behaviors throughout the triaxial compression processes. Subsequently, the first-order statistics of the kinematic results are estimated, with the aim of revealing the evolution of associated localization effects as well as their corresponding uncertainties in space and time. The results of this research provide an innovative statistical interpretation of the localization effects on soil specimens under three-dimensional stress conditions. The proposed approach advances the interpretation of granular material’s responses under triaxial compression experimental conditions, while opening an opportunity to reproduce the material’s kinematic responses under the triaxial experimental conditions through constitutive modeling or machine learning techniques.
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spelling doaj.art-4968f87c6c5b43de9e90e22ad312537d2023-11-24T07:34:50ZengMDPI AGApplied Sciences2076-34172022-11-0112221141310.3390/app122211413Statistical Characterization of Boundary Kinematics Observed on a Series of Triaxial Sand SpecimensYichuan Zhu0Zenon Medina-Cetina1Civil & Environmental Engineering Department, Temple University, Philadelphia, PA 19122, USAZachry Department of Civil & Environmental Engineering, Texas A&M University, College Station, TX 77843, USAThis paper follows up on a reference paper that inspired MDPI’s topic “Stochastic Geomechanics: From Experimentation to Forward Modeling”, in which the authors populated a spatio–temporal database of boundary displacement fields from a series of triaxial sand specimens using three-dimensional (3D) digital image correlation analysis. The database was curated and is currently available to the scientific community for further study. This paper uses a subset of this database, in which the experimental conditions were similar, to statistically investigate the dominant kinematic phenomena observed on the boundary of triaxial sand specimens under compression. The first-order 3D kinematic operators under the cylindrical coordinates, comprised of the <i>divergence</i>, <i>curl</i>, and <i>gradient</i>, were applied to the boundary displacement fields to illustrate the localization deformation patterns including the translational, rotational, shearing, and volumetric behaviors throughout the triaxial compression processes. Subsequently, the first-order statistics of the kinematic results are estimated, with the aim of revealing the evolution of associated localization effects as well as their corresponding uncertainties in space and time. The results of this research provide an innovative statistical interpretation of the localization effects on soil specimens under three-dimensional stress conditions. The proposed approach advances the interpretation of granular material’s responses under triaxial compression experimental conditions, while opening an opportunity to reproduce the material’s kinematic responses under the triaxial experimental conditions through constitutive modeling or machine learning techniques.https://www.mdpi.com/2076-3417/12/22/11413granular materialslocalization effectsshear bandstatistical analysissand specimentriaxial compression test
spellingShingle Yichuan Zhu
Zenon Medina-Cetina
Statistical Characterization of Boundary Kinematics Observed on a Series of Triaxial Sand Specimens
Applied Sciences
granular materials
localization effects
shear band
statistical analysis
sand specimen
triaxial compression test
title Statistical Characterization of Boundary Kinematics Observed on a Series of Triaxial Sand Specimens
title_full Statistical Characterization of Boundary Kinematics Observed on a Series of Triaxial Sand Specimens
title_fullStr Statistical Characterization of Boundary Kinematics Observed on a Series of Triaxial Sand Specimens
title_full_unstemmed Statistical Characterization of Boundary Kinematics Observed on a Series of Triaxial Sand Specimens
title_short Statistical Characterization of Boundary Kinematics Observed on a Series of Triaxial Sand Specimens
title_sort statistical characterization of boundary kinematics observed on a series of triaxial sand specimens
topic granular materials
localization effects
shear band
statistical analysis
sand specimen
triaxial compression test
url https://www.mdpi.com/2076-3417/12/22/11413
work_keys_str_mv AT yichuanzhu statisticalcharacterizationofboundarykinematicsobservedonaseriesoftriaxialsandspecimens
AT zenonmedinacetina statisticalcharacterizationofboundarykinematicsobservedonaseriesoftriaxialsandspecimens