The purpose of this research is using the piezo sensor network to generate data and inverse imaging to create a tomographic damage image of carbon fiber materials. This Lamb wave-base damage detection method will help simplify the testing process and reduce the cost of internal damage detection without causing further damage on the testing sample.
Faculty Mentor: Yongming Liu
Microstructure-Based Multiaxial Fatigue Analysis
The research objective is to examine the fatigue strength due to various microstructural features and crystal plasticity theories, and to implement a multiaxial fatigue failure prediction model. The material microstructure was generated by using a Voronoi diagram in the commercial finite element software ABAQUS, then uniaxial tension and shear simulation will be performed through the
In situ SEM testing for Fatigue Crack Growth: Mechanical Investigation of Titanium
The objective of this project is to characterize crack growth that occurs in titanium alloys, specifically Grade 5 Ti-6Al-4V, by applying cyclic tensile loading and measuring the crack growth and crack tip opening displacement (CTOD) of specimens at loading ratios of 0.1, 0.3, and 0.5. This project defines the relationship between rate of crack growth
In-Situ ABI Testing of Pipeline Materials
About 45 percent of crude oil pipelines in the U.S. are over a half-century old and these pipelines deteriorate gradually. Their integrity is important to avoid leakage, which results in safety and environmental hazards. Therefore, it is of great importance to develop non-destructive or minimally destructive mechanical test methods that can be performed in-situ. The
