Robust Multivariate Evaluation and Failure Prediction of Inhomogeneous Solids Based on Inverse Analysis
Abstract
During last three years, successful developments and implementations of inverse analyses techniques for advanced materials have been carried out. Furthermore, novel computational approaches were developed to ascertain failure characteristics of inhomogeneous structural systems. These outcomes are described in the published and submitted journal papers. For the identification and evaluations, experimental procedures were developed for nano-, micro-indentations of elastic-plastic graded materials and anisotropic materials. For composites, two separate techniques were developed to identify the embedded delamination and surface damage. Furthermore, hygro-thermal properties of fiber-reinforced materials were determined with an inverse analysis technique. Most of these procedures were conducted with real experiments using instrumented indenters, accelerated weather chambers, loading machines, etc. In terms of developing a new computational tool to understand the mechanics of complex material/structural systems, dynamic crack propagation in functionally graded materials was simulated. Subsequently the method was extended to simulate so-call foreign object damage (FOD). FOD is a main concern in aerospace and power generation industries. In this analysis, an impact of single particle onto heterogeneous material was considered. In addition, 3D modeling of fibrous materials has been initiated to study the deformation and failure of fibrous materials.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 31, 2005
- Accession Number
- ADA447244
Entities
People
- Toshio Nakamura
Organizations
- State University of New York