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Proceedings Paper

Real-time prediction of impact-induced damage for composite structures based on failure analysis and efficient database methods
Author(s): Surajit Roy; Ingolf Mueller; Vishnuvardhan Janapati; Samik Das; Fu-Kuo Chang
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Paper Abstract

This contribution presents a novel strategy to achieve real-time prediction of non-penetrating impact-induced damage, especially delamination between plies of composite laminated structures. The proposed strategy aims to create an optimum-sized database of simulated damage information on a given laminated structure using numerical failure models and pattern recognition technique. A multi-stage data clustering algorithm is implemented to identify regions in the structural Finite Element (FE) model that have similar damage signatures. The generated database is linked to the real-time estimate of impact location and load-time history obtained from piezoelectric transducers based passive impact monitoring system. A composite stiffener panel is selected as a model problem and it is shown that the proposed strategy based on pattern recognition will result in large savings in computational cost for the database generation besides providing real-time damage diagnostic capabilities for in-service adverse impact events within certain confidence bounds.

Paper Details

Date Published: 20 April 2012
PDF: 12 pages
Proc. SPIE 8348, Health Monitoring of Structural and Biological Systems 2012, 83481L (20 April 2012); doi: 10.1117/12.917528
Show Author Affiliations
Surajit Roy, Stanford Univ. (United States)
Ingolf Mueller, Stanford Univ. (United States)
Vishnuvardhan Janapati, Stanford Univ. (United States)
Samik Das, Acellent Technologies Inc. (United States)
Fu-Kuo Chang, Stanford Univ. (United States)


Published in SPIE Proceedings Vol. 8348:
Health Monitoring of Structural and Biological Systems 2012
Tribikram Kundu, Editor(s)

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