Uncertainty Analysis of Multifunctional Constitutive Relations and Adaptive Structures

• Other Authors: Miles, Paul R. (authoraut)
• Format: Others
• Language: English; English
• Published: Florida State University
• Subjects: Mechanical engineering
• Online Access: http://purl.flvc.org/fsu/fd/FSU_SUMMER2017_Miles_fsu_0071E_14033

Practically all engineering applications require knowledge of uncertainty. Accurately quantifying uncertainty within engineering problems supports model development, potentially leading to identification of key risk factors or cost reductions. Often the full problem requires modeling behavior of materials or structures from the quantum scale all the way up to the macroscopic scale. Predicting such behavior can be extremely complex, and uncertainty in modeling is often increased due to necessary assumptions. We plan to demonstrate the benefits of performing uncertainty analysis on engineering problems, specifically in the development of constitutive relations and structural analysis of smart materials and adaptive structures. This will be highlighted by a discussion of ferroelectric materials and their domain structure interaction, as well as dielectric elastomers’ viscoelastic and electrostrictive properties. === A Dissertation submitted to the Department of Mechanical Engineering in partial fulfillment of the requirements for the degree of Doctor of Philosophy. === Summer Semester 2017. === June 22, 2017. === Electrostriction, Ferroelectricity, Parameter Estimation, Uncertainty Quantification, Viscoelasticity === Includes bibliographical references. === William Oates, Professor Co-Directing Dissertation; M. Yousu Hussaini, Professor Co-Directing Dissertation; Changchun Zeng, University Representative; Kunihiko Taira, Committee Member; Shangchao Lin, Committee Member; Ralph Smith, Committee Member.