Date Approved
8-22-2016
Embargo Period
8-24-2016
Document Type
Thesis
Degree Name
M.S. Mechanical Engineering
Department
Mechanical Engineering
College
Henry M. Rowan College of Engineering
Advisor
Riddell, William
Committee Member 1
Constans, Eric
Committee Member 2
Ranganathan, Shivakumar
Keywords
beta, Fiber, Lag, out, pull, Shear
Subject(s)
Strength of materials; Fibrous composites; Finite element method
Disciplines
Mechanical Engineering
Abstract
The strength of fiber-reinforced composites is dependent on the strength of the fiber-matrix interface bond. Thermal, chemical, and other means have been used to modify the surface of fibers, resulting in increased fiber-matrix interface bond strength. However, researchers are still dependent on empirical methods to relate surface modifications to composite performance. Additional efforts are required to develop physics-based models for micro-mechanical effects on interfacial bond strength that will be needed for the improved design and processing of fiber reinforced composites. It is anticipated that experimental, numerical, and analytical efforts will be needed to contribute toward this endeavor.
A numerical approach is presented in this thesis that allows the shear lag parameter, β, to be extracted from finite element results. Extracting the shear lag parameter from numerical data allows numerical and analytical approaches to be compared. Axisymmetric finite element analyses of fiber pull out, axisymmetric macrobond, and fully embedded fiber fracture tests are discussed in light of this approach. Material and geometric properties used in numerical models are then varied to study their effects on the fitted value of β. It is anticipated that this approach will enable and enhance future research efforts to simulate the effect of fiber surface texture on pull out strength.
Recommended Citation
Avery, George Thomas, "Sensitivity studies on the shear lag parameter β using analytical and numerical techniques" (2016). Theses and Dissertations. 2021.
https://rdw.rowan.edu/etd/2021