abstract: In this dissertation, three complex material systems including a novel class of hyperuniform composite materials, cellularized collagen gel and low melting point alloy (LMPA) composite are investigated, using statistical pattern characterization, stochastic microstructure reconstruction and micromechanical analysis. In Chapter 1, an introduction of this report is provided, in which a brief review is made about these three material systems. In Chapter 2, detailed discussion of the statistical morphological descriptors and a stochastic optimization approach for microstructure reconstruction is presented. In Chapter 3, the lattice particle method for micromechanical analysis of complex heterogeneous materials is introduced. In Chapter 4, a new class of hyperuniform heterogeneous material with superior mechanical properties is investigated. In Chapter 5, a bio-material system, i.e., cellularized collagen gel is modeled using correlation functions and stochastic reconstruction to study the collective dynamic behavior of the embed tumor cells. In chapter 6, LMPA soft robotic system is generated by generalizing the correlation functions and the rigidity tunability of this smart composite is discussed. In Chapter 7, a future work plan is presented. / Dissertation/Thesis / Doctoral Dissertation Materials Science and Engineering 2018
| Identifer | oai:union.ndltd.org:asu.edu/item:49140 |
| Date | January 2018 |
| Contributors | Xu, Yaopengxiao (Author), Jiao, Yang (Advisor), Liu, Yongming (Committee member), Wang, Qing Hua (Committee member), Ren, Yi (Committee member), Arizona State University (Publisher) |
| Source Sets | Arizona State University |
| Language | English |
| Detected Language | English |
| Type | Doctoral Dissertation |
| Format | 115 pages |
| Rights | http://rightsstatements.org/vocab/InC/1.0/, All Rights Reserved |
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