Document Type

Article

Source Publication Title

American Institute of Aeronautics and Astronautics (AIAA) SCITECH 2023 Forum

DOI

10.2514/6.2023-0773

Abstract

With the increased use of composite materials, researchers have developed many approaches for structural and prognostic health monitoring. Broadband Dielectric Spectroscopy (BbDS)/Impedance Spectroscopy (IS) is a state-of-the-art technology that can be used to identify and monitor the minute changes in damage initiation, accumulation, interactions, and the degree of damage in a composite under static and dynamic loading. This work presents a novel artificial neural network (ANN) framework for fiber-reinforced polymer (FRP) composites under fatigue loading, which incorporates dielectric state variables to predict the life (durability) and residual strength (damage tolerance) from real-time acquired dielectric permittivity of the material. The findings of this study indicate that this robust ANN-based prognostic framework can be implemented in FRP composite structures, thereby assisting in preventing unforeseeable failure.

Disciplines

Engineering | Materials Science and Engineering

Publication Date

1-19-2023

Language

English

Comments

Refer to https://youtu.be/Z6z1Jm8WBk8 as well.

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