Entropy-based damage evaluation of composite structure and its application to structural health management

Hossain Ahmed, Mohammadsadegh Saadatzi, Subir Patra, Sourav Banerjee

Research output: Contribution to book or proceedingConference articlepeer-review

1 Scopus citations

Abstract

Assessment of material state damage in a composite structure using fundamental thermodynamic concept of entropy has been proposed in this article. The health management system of composite structure is mainly based on installation of piezoelectric material on the structure itself. To supplement this existing system, in this article, it has been demonstrated that the change in entropy due to material degradation can be used as a measure of damage. The advantage of this entropy-based damage index measurement is that it offers a unified and more comprehensive indication of damage irrespective of the path of the damage mode. Since the dissipation of energy due to structural loading initiates damage from an ideal material-state, an estimation of material state disorganization from an unloaded-state can be considered as a change in entropy. Over the years, many attempts had been made to implement this concept in metallic structure, however, the application of this approach to composite structure is far from trivial. To circumvent this gap, an entropic characterization of fatigue degradation mechanism under various loading rates has been proposed and demonstrated for carbon fiber based composite structure using material state property information. Essentially, an experimental setup was designed to assess the change in structural integrity of the composite specimens at multiple fatigue cycles using the state-of-the-art scanning acoustic microscope. The statistical mechanics-based probability distribution function for the change in structural properties are then expressed in terms of fundamental entropy distribution and a damage index of the structure is formulated. Next, the specimens went through a time dependent stress relief cycle, and the entropy as a thermodynamic state function for the damage was assessed by using the change in probability distributions. Based on initial results, the proposed methodology provides enough proof to effectively identify the damage initiation irrespective of its type and the localization of the damage.

Original languageEnglish
Title of host publicationStructural Health Monitoring 2019
Subtitle of host publicationEnabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring
EditorsFu-Kuo Chang, Alfredo Guemes, Fotis Kopsaftopoulos
PublisherDEStech Publications Inc.
Pages2451-2458
Number of pages8
ISBN (Electronic)9781605956015
DOIs
StatePublished - 2019
Event12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019 - Stanford, United States
Duration: Sep 10 2019Sep 12 2019

Publication series

NameStructural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring
Volume2

Conference

Conference12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019
Country/TerritoryUnited States
CityStanford
Period09/10/1909/12/19

Scopus Subject Areas

  • Computer Science Applications
  • Health Information Management

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