Impact Performance and Dynamic Behavior of Composite Sandwich Structures in Arctic Condition

Abstract

Research will be conducted to investigate the impact performance, and to understand damage mechanisms of composite sandwich structures in Arctic conditions (at low temperatures down to -70~C). The coupled effects of dynamic loading (impact) and extreme environmental conditions (low temperature) is exceptionally complex. We plan to elucidate underlying damage morphology associated with composite sandwich structures impacted at low temperatures, and reveal coupling mechanisms related to the proposed combined effects, and to develop novel methods to enhance impact performance. We will utilize both experimental techniques and computational tools, including the SOA experimental testing and characterization facilities to unravel 3D impact damage morphology). Computational simulations will be performed using ABAQUS and in-house codes, to provide insights into the relationship between material properties/performance and low temperature conditions, and to explore new methods to enhance impact performance in Arctic conditions.The available SOA experimental testing facility will be used, with Instron CEAST impact test machine and an environmental chamber (w. temperatures down to -70~C), and Instron 5582 machine for compression-after-impact (CAI) testing (to determine CAI strength and damage progression). A GE dual tube x-ray computed tomography (CT) system will be used to unravel 3D impact damage morphology and elucidate complex damage mechanisms (i.e. matrix cracking, face sheet debonding, delamination, foam core crushing, fiber fracture). A numerical micromechanics analysis code (MAC) will be used to provide insights to the relationship between material properties/performance and low temperature conditions, and to explore new methods to enhance impact performance in Arctic conditions. Computational simulations of impact damage, using ABAQUS (and material properties from MAC/GMC), will be used to validate experimental results and to provide insights to the relationship between material properties, impact performance and low temperature conditions. The FEA model, with damage theory, will be used to predict impact and post-impact performance, and to compare with experimental X-ray CT images.

Document Details

Document Type
DoD Grant Award
Publication Date
Nov 23, 2016
Source ID
N000141613202

Entities

People

  • Kwek-Tze Tan

Organizations

  • Office of Naval Research
  • United States Navy
  • University of Akron

Tags

Readers

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