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A generative approach to a virtual material testing laboratory

<p> This thesis presents a virtual material testing laboratory that is highly generic and flexible
in terms of both the material behaviour and experiments that it supports. Generic and
flexible material behaviour was accomplished via symbolic computation, generative programming
techniques and an abstraction layer that effectively hides the material model
specific portions of the numerical algorithms. To specify a given member of the family of
material models a domain specific language (DSL) was created. A compiler, which uses
the Maple computer algebra system, transforms the DSL into an abstract material class.
Three different numerical algorithms, including a return map algorithm, are presented in
the thesis to illustrate the advantage of the abstract material model. To accomplish the goal
of generic and flexible experiments the finite element method was employed and an API
that supports both load and displacement controlled experiments, as well as the capability
for the experiments to modify their state over time, was developed. The virtual laboratory
provides a family of material models with the following behaviours: elastic, viscous, shear-thinning,
shear-thickening, strain hardening, viscoelastic, viscoplastic and plastic. As well,
the developed framework, by using the Ruby programming language, provides support for
a wide variety of programmable experiments, including: uniaxial, biaxial, multiaxial extension
and compression, shear and triaxial. </p> / Thesis / Candidate in Philosophy

Identiferoai:union.ndltd.org:mcmaster.ca/oai:macsphere.mcmaster.ca:11375/21267
Date09 1900
CreatorsMcCutchan, John
ContributorsSmith, Spencer, Computer Science
Source SetsMcMaster University
LanguageEnglish
Detected LanguageEnglish

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