279,366 research outputs found
Homogenization of plain weave composites with imperfect microstructure: Part II--Analysis of real-world materials
A two-layer statistically equivalent periodic unit cell is offered to predict
a macroscopic response of plain weave multilayer carbon-carbon textile
composites. Falling-short in describing the most typical geometrical
imperfections of these material systems the original formulation presented in
(Zeman and \v{S}ejnoha, International Journal of Solids and Structures, 41
(2004), pp. 6549--6571) is substantially modified, now allowing for nesting and
mutual shift of individual layers of textile fabric in all three directions.
Yet, the most valuable asset of the present formulation is seen in the
possibility of reflecting the influence of negligible meso-scale porosity
through a system of oblate spheroidal voids introduced in between the two
layers of the unit cell. Numerical predictions of both the effective thermal
conductivities and elastic stiffnesses and their comparison with available
laboratory data and the results derived using the Mori-Tanaka averaging scheme
support credibility of the present approach, about as much as the reliability
of local mechanical properties found from nanoindentation tests performed
directly on the analyzed composite samples.Comment: 28 pages, 14 figure
Multiple testing with persistent homology
Multiple hypothesis testing requires a control procedure. Simply increasing
simulations or permutations to meet a Bonferroni-style threshold is
prohibitively expensive. In this paper we propose a null model based approach
to testing for acyclicity, coupled with a Family-Wise Error Rate (FWER) control
method that does not suffer from these computational costs. We adapt an False
Discovery Rate (FDR) control approach to the topological setting, and show it
to be compatible both with our null model approach and with previous approaches
to hypothesis testing in persistent homology. By extending a limit theorem for
persistent homology on samples from point processes, we provide theoretical
validation for our FWER and FDR control methods
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