Real-time prediction of impact-induced damage for composite structures based on failure analysis and efficient database methods

Surajit Roy; Ingolf Mueller; Vishnuvardhan Janapati; Samik Das; Fu-Kuo Chang

doi:10.1117/12.917528

20 April 2012 Real-time prediction of impact-induced damage for composite structures based on failure analysis and efficient database methods

Surajit Roy, Ingolf Mueller, Vishnuvardhan Janapati, Samik Das, Fu-Kuo Chang

Author Affiliations +

Proceedings Volume 8348, Health Monitoring of Structural and Biological Systems 2012; 83481L (2012) https://doi.org/10.1117/12.917528
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2012, San Diego, California, United States

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.

Citation Download Citation

Surajit Roy, Ingolf Mueller, Vishnuvardhan Janapati, Samik Das, and Fu-Kuo Chang "Real-time prediction of impact-induced damage for composite structures based on failure analysis and efficient database methods", Proc. SPIE 8348, Health Monitoring of Structural and Biological Systems 2012, 83481L (20 April 2012); https://doi.org/10.1117/12.917528

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