A Computationally Driven Approach to Nano-engineered Composite Structures
Abstract
A concurrent multiscale computational framework is proposed to evaluate the performance andscalability of polymer matrix composites with carbon nanotubes of complex architecture. Highfidelity atomistic and continuum models accounting for uncertainties and their propagationacross length scales will be used to study damage evolution under both static and dynamic loads.An innovative approach will be developed for efficient bridging of scales using machinelearning-based adaptive reduced order models. Scale-dependent testing will be conducted forclosed-loop validation.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 04, 2017
- Source ID
- N000141712037
Entities
People
- Aditi Chattopadhyay
Organizations
- Arizona State University
- Office of Naval Research
- United States Navy