Novel multiscale fatigue modeling of textile composites

Abstract

The mechanisms by which fatigue damage and degradation of stiffness occur in textile polymer composites are dictated to a large extent by the cyclic response of the polymer matrix, specifically the stress-strain response of the matrix when subjected to fatigue loading, and the textile architecture, which includes details of the fiber tows an. d the textile weave and braid pattern. In this proposal, we present a novel multiscale approach to model fatigue in textile composites based on the Pis past success on developing a multi-scale modeling framework for the quasi-static damage and failure modeling of textile composites. The model to be developed is computationally efficient due to the utilization of a closed form solution for the sub-scale stress and strain states within the matrix captured via a reformulation of the composite cylinder model and referred to as the NCYL model. The NCYL model is coupled to a mesh-objective crack band model for capturing post-peak softening response in a discretization objective manner, and extended to model fatigue in textile composites. The proposed work utilizes the digital volume correlation (DVC) method for collecting experimental data on damage progression, in-situ, due to cyclic loading, by conducting experiments within an available microCT scanner, thus acquiring data at the microscale in-situ. In addition, experiments are proposed utilizing plan weave textile composites subjected to fatigue loading in order to validate the proposed multiscale modeling framework.

Document Details

Document Type
DoD Grant Award
Publication Date
May 07, 2018
Source ID
W911NF1810090

Entities

People

  • Anthony Waas

Organizations

  • Army Contracting Command
  • United States Army
  • University of Washington

Tags

Readers

  • Computational Fluid Dynamics (CFD)
  • Reinforced Composite Materials
  • Structural Health Monitoring of Composite Structures.