Multiphysics Multiscale Wave Propagation in High Temperature Polymer Matrix Composites - A Digital Platform for Real Time Damage Prognosis
Abstract
A computationally driven methodology aimed at producing a major advance in the ability to provide reliable real-time damage state awareness and life estimation of high-temperature polymer matrix composites (HTPMCs) is proposed. The virtual framework integrates a multiphysics wave propagation formulation with a synergistic multiscale damage evolution model to capture wave scattering and dispersion with evolving damage and degradation in HTPMCs in thermomechanical loading environment. Scale-dependent microstructural, and architectural variability, and manufacturing induced flaws are captured using a range of microscopy, and three-dimensional statistical representative volume elements are generated using a conditional generative algorithm for use in multiscale modeling. Thus, the generalized wave theory will be capable of efficiently simulating the behavior of elastic-inelastic waves in anisotropic media, their excitation and sensing, and their interaction with damage. An adaptive signal processing technique will extract and analyze the wave features and establish a database of time-frequency damage descriptors. This information will be implemented in a novel physics-informed deep learning (DL) framework for automated baseline free damage detection and classification. A reduced order model will be formulated using multimodal DL algorithm based on recurrent neural networks for accurate and efficient solution to wave-damage-inelasticity interactions. Due to the robustness and generality of the proposed modeling scheme, various actuation signals, frequencies, and wave types can be considered to determine the optimal ultrasonic features for a wide range of damage scenarios, material constituent properties, and composite architectures. While the techniques developed are expected to be cross-cutting, validation will be conducted on a focused set of HTPMC test articles. The systematic approach will provide a digital platform for damage prognosis of high-performance materials.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Mar 06, 2024
- Source ID
- FA95502310460
Entities
People
- Aditi Chattopadhyay
Organizations
- Air Force Office of Scientific Research
- Arizona State University
- United States Air Force