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Numerical modelling of damage initiation in low-density thermally bonded nonwovens

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posted on 13.03.2015, 14:53 by Farukh Farukh, Emrah DemirciEmrah Demirci, Baris Sabuncuoglu, Memis Acar, Behnam Pourdeyhimi, Vadim SilberschmidtVadim Silberschmidt
Due to random orientation of fibres and presence of voids in their microstructure, low-density thermally bonded polymer-based nonwovens demonstrate complex processes of deformation and damage initiation and evolution. This paper aims to introduce a micro-scale discontinuous finite element model to simulate an onset of damage in low-density nonwovens. In the model, structural randomness of a nonwoven fabric was introduced in terms of orientation distribution function (ODF) obtained by an algorithm based on the Hough Transform. Fibres were represented in the model with truss elements with orientations defined according to the computed ODF. Another structural element of nonwovens – bond points – were modelled with shell elements having isotropic mechanical properties. The numerical scheme employed direct modelling of fibres at micro level, naturally introducing the presence of voids into the model and thus making it suitable for simulations of low-density nonwovens. The obtained results of FE simulations were compared with our data of tensile tests performed in principal directions until the onset of damage in the specimens.


We greatly acknowledge the support by the Nonwovens Cooperative Research Centre of North Carolina State University, Raleigh, USA.



  • Mechanical, Electrical and Manufacturing Engineering

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112 - 115 (4)


FARUKH, F. ... et al, 2012. Numerical modelling of damage initiation in low-density thermally bonded nonwovens. Computational Materials Science, 64, pp. 112 - 115.


© Elsevier B.V.


AM (Accepted Manuscript)

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NOTICE: this is the author’s version of a work that was accepted for publication in Computational Materials Science. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computational Materials Science, vol 64, November 2012, DOI:10.1016/j.commatsci.2012.05.038






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