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Smart composites with tunable stress-strain curves

Authors: Özcan, Müge;

Smart composites with tunable stress-strain curves

Abstract

Smart composite materials with tunable stress-strain curves are examined numerically. Microscopic constituents of the composites respond to external stimuli by changing their elastic response in a well-defined, continuous and controllable manner, which defines the tunable traits of the macroscopic constituents. This inherently dynamic behavior of the constituents results in a display of characteristic properties that cannot be attained by any combination of traditional materials. A repetitive controller, which is intrinsically fits the types of applications desired for such composites where loading is cyclic, is used to prompt microscopic adaptation of the material. Stability and performance analysis are displayed in detail for the overall numerical framework over complex paths in macroscopic stress-strain domain. Later, the feasibility of designing and analyzing smart composites for real life applications are demonstrated by incorporating the control approach within a computational setting that is based on the finite element method on representative two- and three-dimensional tunable microstructures.

Includes bibliographical references (leaves 68-73).

Cataloged from PDF version of article.

by Müge Özcan.

Country
Turkey
Related Organizations
Keywords

Smart Materials, Repetitive Control, Control theory, Mechanical Engineering, Intelligent materials, Micromechanics, Elactic Composites, Makine Mühendisliği, Control Theory, Micromechanic

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green