University of Hertfordshire

By the same authors

Quantitative Assessment of Damage in Composites by Implementing Acousto-Ultrasonics Technique

Research output: Contribution to conferencePaperpeer-review

Documents

View graph of relations
Original languageEnglish
Number of pages7
Publication statusPublished - 8 Sep 2022
EventThe 3rd International Conference on Energy and Sustainable Futures (ICESF) - Coventry University, Coventry, United Kingdom
Duration: 7 Sep 20228 Sep 2022
https://www.coventry.ac.uk/research/about-us/research-events/2022/icesf-2022/

Conference

ConferenceThe 3rd International Conference on Energy and Sustainable Futures (ICESF)
Country/TerritoryUnited Kingdom
CityCoventry
Period7/09/228/09/22
Internet address

Abstract

This study focused on quantitative damage severity assessment in composite materials using Acousto-Ultrasonics (AU), an in-service and active non-destructive inspection technique in which Lamb waves are communicated through a damaged zone. This was done by activating a signal onto the composite material surface and acquiring the received waves after their interactions with the damage. It relied on early research that presented a series of stress wave factors (SWFs) derived from the frequency-domain of the AU data, as quantitative identifiers of the received signal. Although, the SWFs have previously been proven to determine the understanding of the spatial arrangements of the impact damage, the degree or severity of the damage inside the impact damage area has not been assessed. Therefore, the current research was a step in the right way toward that aim. AU waves were generated via a laminate with increasing concentrations of ply faults, across longitudinal length. The stress wave factors were first examined for an undamaged composite, and the SWFs were then connected with the fault concentration. The significance of the found linkages and the possible futures of quantitative assessment of the degree of damage by such relationships were examined. The stress wave factors showed clear and consistent patterns, as the fault concentration increased. With a rise in fault density, an element measuring the energy content of the waves significantly changed with R- sq(adj) = 91.33% and almost linearly, and provided a robust measurable trend, while other parameter exhibited lesser shifts with R- sq(adj) = 51.86%. The result obtained from the presented work provided a base to cost-effective and in- service measure to early detection of catastrophic failures in composite structures, including the wind turbine blades for renewable and sustainable energy generation.

ID: 31493850