Computational methods to study mechanical instabilities in soft and multi-physics media

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Abstract/Contents

Abstract
Predictive modeling of complex materials is gaining more and more attention each day as the complexity of problems increases rapidly with innovations in fabrication and monitoring technologies. At the same time, these innovations are revealing unsolved fundamental problems both in nature and engineered systems, mainly because of high nonlinearities in material and geometry, multiple physics, and multiple length and time scale behavior. In this thesis, we focus on developing computational tools to model soft and multiphysics materials as well as to capture geometrical and material instabilities observed in these complex materials. We show that the developed computational schemes successfully pinpoint the onset and simulate the evolution of instabilities in soft materials under large deformations, extending the fundamental understanding of the complex bifurcation response of bilayer materials and commonly observed instability modes of buckling, wrinkling, period-doubling, and creasing. Through fundamental studies on the transient nature of poroelastic instabilities, we address the influence of solvent diffusion on instabilities for stimuli-responsive materials such as hydrogels. Particularly, we discuss the numerical modeling aspects of hydrogels along with dissipative fluid transport phenomena through developing new numerically stable mixed isogeometric hydrogel models. We also introduce a new structural stability criteria for hydrogels with a saddle-point formulation, enabling computational studies designed to elucidate the diffusion-driven swelling-induced instabilities of hydrogels. Equipped with the developed accurate and efficient methods, we draw stability diagrams highly relevant to designing functional and tunable soft hydrogel devices over a wide range of length scales.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2019; ©2019
Publication date 2019; 2019
Issuance monographic
Language English

Creators/Contributors

Author Dortdivanlioglu, Berkin
Degree supervisor Linder, Christian, 1949-
Thesis advisor Linder, Christian, 1949-
Thesis advisor Borja, Ronaldo Israel
Thesis advisor Kuhl, Ellen, 1971-
Degree committee member Borja, Ronaldo Israel
Degree committee member Kuhl, Ellen, 1971-
Associated with Stanford University, Civil & Environmental Engineering Department.

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Berkin Dortdivanlioglu.
Note Submitted to the Civil & Environmental Engineering Department.
Thesis Thesis Ph.D. Stanford University 2019.
Location electronic resource

Access conditions

Copyright
© 2019 by Berkin Dortdivanlioglu
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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