Harnessing Multiscale & Hybrid Image Correlation to Characterize the Cyclic Elastoplastic Performance of Auxetics

Abstract

The overarching goal of the proposed work is to provide the first study of the use of multiscale and hybrid (visible and infrared) image correlation approaches to detect cyclic elastoplastic properties and performance. The advanced optical techniques will help unravel the coupled structural and material factors that govern performance in sandwich structures. The study will focus on metal-based auxetic (negative effective Poisson s ratio) sheet structures that can inform auxetic sandwich structure design. Auxetics and auxetic sandwich structures are well known for their energy absorption capacity and resistance to indentation and flexure. The project will address ONR objectives related to moderating maintenance and repair while enhancing structural durability and maneuverability, such as for high sea states, slamming conditions, and navigating the emerging Arctic environments.

Document Details

Document Type
DoD Grant Award
Publication Date
Nov 08, 2024
Source ID
N000142412477

Entities

People

  • Natasha Vermaak

Organizations

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

Tags

Fields of Study

  • Materials science

Readers

  • Reinforced Composite Materials
  • Research Science/Academic Research
  • Structural Health Monitoring of Composite Structures.