Multiscale Modeling of Probabilistic Failure of Quasibrittle Structures Under Impact Research Topic Area: Engineering; Program Manager: Dr. Larry C. Russell, Jr.
Abstract
The objective of the proposed research is to develop an efficient and robust computational model to better predict the probabilistic failure of quasibrittle structures under impact loading, with a primary focus on structures that are much larger than the material inhomogeneities (grains). The proposed model is anchored by a multiscale framework, in which the probability distribution function of the dynamic material strength is determined by a rate-dependent finite weakest link model and a stochastic micromechanical model. The finite weakest link model statistically represents the damage localization mechanism and naturally involves the length scales associated with the material damage processes. This model is calibrated and validated through a stochastic micromechanical model, which explicitly takes into account the randomness of grain sizes, pre-existing flaws and fracture properties of grain boundaries. Therefore, through this multiscale framework, the variability of the material properties of the continuum finite element model is physically related to the random microstructural features as well as the random fracture properties at the micro-scale. The completed model undergoes experimental validation using high velocity impact tests on specific material beams.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 12, 2017
- Source ID
- W911NF1510197
Entities
People
- Jia‐Liang Le
Organizations
- Army Contracting Command
- United States Army
- University of Minnesota