Microscale investigation into mechanical behaviors of heat-bonded nonwoven geotextile using DEM

Chen, H, Liu, X, Feng, S, Chen, J, Zhang, D and Zhou, A 2019, 'Microscale investigation into mechanical behaviors of heat-bonded nonwoven geotextile using DEM', Geotextiles and Geomembranes, vol. 47, no. 3, pp. 429-438.


Document type: Journal Article
Collection: Journal Articles

Title Microscale investigation into mechanical behaviors of heat-bonded nonwoven geotextile using DEM
Author(s) Chen, H
Liu, X
Feng, S
Chen, J
Zhang, D
Zhou, A
Year 2019
Journal name Geotextiles and Geomembranes
Volume number 47
Issue number 3
Start page 429
End page 438
Total pages 10
Publisher Elsevier
Abstract Heat-bonded nonwoven geotextiles (HBNGs) made from synthetic fibers are widely used in engineering practices. One of the challenges on the way is to link the properties of fibers and the fabric's microstructure to the deformation and failure mechanisms of HBNGs. In this study, a random distribution geometry method was developed to reproduce the complex fibrous structure of HBNG. A piecewise linear model was adopted to reproduce the nonlinear stress-strain relationships of single fibers. The present method has been successfully applied in the simulation of uniaxial and biaxial tensile tests and puncture test. The orientation distribution of fibers and the mechanical behaviors (e.g., deformation, strain localization, force-strain relationship) of HBNG specimen were reasonably simulated. Specifically, the hourglass shape during uniaxial tensile test, the axisymmetric deformation pattern during biaxial tensile test and the trumpet shape during puncture test were all well reproduced. The present method provides an applicable tool to study the complicated mechanical behaviors of HBNG and is also helpful to obtain a better understanding of its deformation and failure mechanisms.
Subject Civil Geotechnical Engineering
Composite and Hybrid Materials
Keyword(s) DEM
Fiber
Geosynthetics
Geotextile
Puncture test
Tensile test
DOI - identifier 10.1016/j.geotexmem.2019.01.002
Copyright notice © 2019 Elsevier
ISSN 0266-1144
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