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Composite Material Failure Model Updating Approach Leveraging Nondestructive Evaluation Data
Journal article   Open access   Peer reviewed

Composite Material Failure Model Updating Approach Leveraging Nondestructive Evaluation Data

Mohammadreza Bahadori, Emine Tekerek, Melvin Mathew, Mazur Krzysztof, Brian Wisner and Antonios Kontsos
Journal of nondestructive evaluation, diagnostics and prognostics of engineering systems, v 4(3)
01 Aug 2021
DOI: https://doi.org/10.1115/1.4049781
Featured in Collection :   UN Sustainable Development Goals @ Drexel
url
https://doi.org/10.1115/1.4049781View
Published, Version of Record (VoR)Maybe Open Access (Publisher Bronze),  Open

Abstract

composites diagnostic feature extraction progressive failure analysis materials testing damage classification numerical analysis nondestructive evaluation acoustic emission data-driven modeling
A novel failure model updating methodology is presented in this paper for composite materials. The innovation in the approach presented is found in both the experimental and computational methods used. Specifically, a dominant bottleneck in data-driven failure model development relates to the types of data inputs that could be used for model calibration or updating. To address this issue, nondestructive evaluation data obtained while performing mechanical testing at the laboratory scale are used in this paper to form a damage metric based on a series of processing steps that leverage raw sensing inputs and provide progressive failure curves that are then used to calibrate the damage initiation point computed by full-field three-dimensional finite element simulations of fiber-reinforced composite material that take into account both intra- and interlayer damage. Such curves defined based on nondestructive evaluation data are found to effectively monitor the progressive failure process, and therefore, they could be used as a way to form modeling inputs at different length scales.

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5 Record Views
3 citations in Web of Science
2 citations in Scopus

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Collaboration types
Domestic collaboration
Web of Science research areas
Engineering, Multidisciplinary
Instruments & Instrumentation
Materials Science, Characterization & Testing
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