Dissertation/Thesis Abstract

Development of Mathematical and Computational Models to Design Selectively Reinforced Composite Materials
by Tang, Baobao, M.S., University of Louisiana at Lafayette, 2016, 130; 10163313
Abstract (Summary)

Different positions of a material used for structures experience different stresses, sometimes at both extremes, when undergoing processing, manufacturing, and serving. Taking the three-point bending as an example, the plate experiences higher stress in the middle span area and lower stress in both sides of the plate. In order to ensure the performance and reduce the cost of the composite, placement of different composite material with different mechanical properties, i.e. selective reinforcement, is proposed.

Very few study has been conducted on selective reinforcement. Therefore, basic understanding on the relationship between the selective reinforcing variables and the overall properties of composite material is still unclear and there is still no clear methodology to design composite materials under different types of loads.

This study started from the analysis of composite laminate under three point bending test. From the mechanical analysis and simulation result of homogeneously reinforced composite materials, it is found that the stress is not evenly distributed on the plate based on through-thickness direction and longitudinal direction. Based on these results, a map for the stress distribution under three point bending was developed. Next, the composite plate was selectively designed using two types of configurations. Mathematical and finite element analysis (FEA) models were built based on these designs. Experimental data from tests of hybrid composite materials was used to verify the mathematical and FEA models. Analysis of the mathematical model indicates that the increase in stiffness of the material at the top and bottom surfaces and middle-span area is the most effective way to improve the flexural modulus in three point bending test. At the end of this study, a complete methodology to perform the selective design was developed.

Indexing (document details)
Advisor: Khattab, Ahmed
Commitee: Gang, Daniel, Khattak, Mohammad, Lee, Jim
School: University of Louisiana at Lafayette
Department: Mechanical Engineering
School Location: United States -- Louisiana
Source: MAI 56/01M(E), Masters Abstracts International
Subjects: Mechanics, Mechanical engineering, Materials science
Keywords: Composite material, Computational model, Impact factor, Mathematical model, Selective reinforcement
Publication Number: 10163313
ISBN: 9781369180053
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