Combined effect of fluid-structure interactions and extreme cold temperatures on the dynamic response of marine composites

Abstract

Global warming is changing the polar landscape, posing new scientific challenges on the mechanics of marine vessels in arctic environments. Composite materials hold great promise for applications in arctic environments, because of their low thermal conductivity, light weight, and high specific strength. However, their dynamic response in these extreme conditions is yet to be fully understood. Particularly elusive is our comprehension of the fluid-structure interactions associated with hydrodynamic loading of composite structures at freezing temperatures. Developing scientifically-principled experimental methods and physically-based mathematical models to investigate these fluid-structure interactions is essential for the design of safe and high-performance marine composites. This research project seeks to establish an integrated experimental, theoretical, and computational approach to clarify the physical underpinnings of fluid-structure interactions in arctic environments. Specifically, this project aims at: i) laying the foundations of a novel experimental framework to investigate the dynamic response of air-backed marine composites under the combined effects of realistic fluid-structure interactions and extreme cold temperatures; ii) contributing new experimental techniques for spatially- and temporally-resolved analysis of fluidstructure interactions; and iii) honing a theoretical and computational backdrop to predict the dynamic, multiaxial response of marine composites in arctic environments.

Document Details

Document Type
DoD Grant Award
Publication Date
Apr 06, 2021
Source ID
N000142112278

Entities

People

  • Maurizio Porfiri

Organizations

  • New York University
  • Office of Naval Research
  • United States Navy

Tags

Fields of Study

  • Environmental science

Readers

  • Reinforced Composite Materials
  • Structural Dynamics.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.