---
res:
bibo_abstract:
- "The complex yarn structure of knitted and woven fabrics gives rise to both a
mechanical and\r\nvisual complexity. The small-scale interactions of yarns colliding
with and pulling on each\r\nother result in drastically different large-scale
stretching and bending behavior, introducing\r\nanisotropy, curling, and more.
While simulating cloth as individual yarns can reproduce this\r\ncomplexity and
match the quality of real fabric, it may be too computationally expensive for\r\nlarge
fabrics. On the other hand, continuum-based approaches do not need to discretize
the\r\ncloth at a stitch-level, but it is non-trivial to find a material model
that would replicate the\r\nlarge-scale behavior of yarn fabrics, and they discard
the intricate visual detail. In this thesis,\r\nwe discuss three methods to try
and bridge the gap between small-scale and large-scale yarn\r\nmechanics using
numerical homogenization: fitting a continuum model to periodic yarn simulations,
adding mechanics-aware yarn detail onto thin-shell simulations, and quantitatively\r\nfitting
yarn parameters to physical measurements of real fabric.\r\nTo start, we present
a method for animating yarn-level cloth effects using a thin-shell solver.\r\nWe
first use a large number of periodic yarn-level simulations to build a model of
the potential\r\nenergy density of the cloth, and then use it to compute forces
in a thin-shell simulator. The\r\nresulting simulations faithfully reproduce expected
effects like the stiffening of woven fabrics\r\nand the highly deformable nature
and anisotropy of knitted fabrics at a fraction of the cost of\r\nfull yarn-level
simulation.\r\nWhile our thin-shell simulations are able to capture large-scale
yarn mechanics, they lack\r\nthe rich visual detail of yarn-level simulations.
Therefore, we propose a method to animate\r\nyarn-level cloth geometry on top
of an underlying deforming mesh in a mechanics-aware\r\nfashion in real time.
Using triangle strains to interpolate precomputed yarn geometry, we are\r\nable
to reproduce effects such as knit loops tightening under stretching at negligible
cost.\r\nFinally, we introduce a methodology for inverse-modeling of yarn-level
mechanics of cloth,\r\nbased on the mechanical response of fabrics in the real
world. We compile a database from\r\nphysical tests of several knitted fabrics
used in the textile industry spanning diverse physical\r\nproperties like stiffness,
nonlinearity, and anisotropy. We then develop a system for approximating these
mechanical responses with yarn-level cloth simulation, using homogenized\r\nshell
models to speed up computation and adding some small-but-necessary extensions
to\r\nyarn-level models used in computer graphics.\r\n@eng"
bibo_authorlist:
- foaf_Person:
foaf_givenName: Georg
foaf_name: Sperl, Georg
foaf_surname: Sperl
foaf_workInfoHomepage: http://www.librecat.org/personId=4DD40360-F248-11E8-B48F-1D18A9856A87
bibo_doi: 10.15479/at:ista:12103
dct_date: 2022^xs_gYear
dct_isPartOf:
- http://id.crossref.org/issn/2663-337X
- http://id.crossref.org/issn/978-3-99078-020-6
dct_language: eng
dct_publisher: Institute of Science and Technology Austria@
dct_title: 'Homogenizing yarn simulations: Large-scale mechanics, small-scale detail,
and quantitative fitting@'
...