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Stochastic Multiscale Modeling and Statistical Characterization of Complex Polymer Matrix Composites


Abstract There are many applications for polymer matrix composite materials in a variety of different industries, but designing and modeling with these materials remains a challenge due to the intricate architecture and damage modes. Multiscale modeling techniques of composite structures subjected to complex loadings are needed in order to address the scale-dependent behavior and failure. The rate dependency and nonlinearity of polymer matrix composite materials further complicates the modeling. Additionally, variability in the material constituents plays an important role in the material behavior and damage. The systematic consideration of uncertainties is as important as having the appropriate structural model, especially during model validatio... (more)
Created Date 2016
Contributor Johnston, Joel Philip (Author) / Chattopadhyay, Aditi (Advisor) / Liu, Yongming (Committee member) / Jiang, Hanqing (Committee member) / Dai, Lenore (Committee member) / Rajadas, John (Committee member) / Arizona State University (Publisher)
Subject Mechanical engineering / Aerospace engineering / Materials Science / damage / environmental / multiscale model / polymer matrix composite / stochastic / triaxial braid
Type Doctoral Dissertation
Extent 193 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Note Doctoral Dissertation Mechanical Engineering 2016
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis