Distributed acoustic emission sensing for large complex air structures

The vast majority of existing work on acoustic emission–based structural health monitoring is for geometrically simple structures with uninterrupted propagation path and constant wave speed. Realistic systems such as a full-scale fuselage, however, are built from interconnected pieces of acoustically mismatched parts such as sandwich core panels, stringer stiffened skin, and fastener holes. The geometric complexity and dynamic operating environment of realistic systems mean that the acoustic emission wave undergoes multiple reflections, refractions, and mode changes resulting in overlapped transducer outputs with no clear beginning and end. The objective of this paper is to outline the fundamental limitations of acoustic emission as applied to complex systems and present a new distributed data-centric acoustic emission sensing network for durability health monitoring and damage tolerance applications in large and complex systems. The study considers the case of a full-scale composite rotorcraft fuselage to introduce several new concepts on acoustic emission data acquisition time control for alleviating effects of wave distortion as well as methods for improving event location analysis in large quasi-isotropic materials. Methods for adaptive front-end signal processing and data volume control are presented. Despite the size and complexity of realistic full-scale systems and the acoustic emission data, we show that it is possible to locate damage with acceptable accuracy.

[1]  T. Kundu,et al.  Locating point of impact in anisotropic fiber reinforced composite plates. , 2008, Ultrasonics.

[2]  Douglas E. Adams,et al.  Structural health monitoring–based methodologies for managing uncertainty in aircraft structural life assessment , 2014 .

[3]  Gary L. Anderson,et al.  Health Monitoring and Reliability of Adaptive Heterogeneous Structures , 2002 .

[4]  Larry Lessard,et al.  Progressive Fatigue Damage Modeling of Composite Materials, Part II: Material Characterization and Model Verification , 2000 .

[5]  Jean-François Caron,et al.  Modelling of fatigue microcracking kinetics in crossply composites and experimental validation , 1999 .

[6]  M. Hamstad A review: Acoustic emission, a tool for composite-materials studies , 1986 .

[7]  Nam Phan,et al.  Structural Health Management in the NAVY , 2010 .

[8]  Fernand Ellyin,et al.  A fatigue failure criterion for fiber reinforced composite laminae , 1990 .

[9]  Yoji Okabe,et al.  The identification of damage types in carbon fiber–reinforced plastic cross-ply laminates using a novel fiber-optic acoustic emission sensor , 2016 .

[10]  Claude Bathias,et al.  An engineering point of view about fatigue of polymer matrix composite materials , 2006 .

[11]  T. Kundu,et al.  Point of impact prediction in isotropic and anisotropic plates from the acoustic emission data. , 2007, The Journal of the Acoustical Society of America.

[12]  Jaret C. Riddick,et al.  Robust Particle Filters for Fatigue Crack Growth Estimation in Rotorcraft Structures , 2016, IEEE Transactions on Reliability.

[13]  R. Prinz,et al.  Fatigue life estimation of graphite/epoxy laminates under consideration of delamination growth , 1989 .

[14]  Rhys Pullin,et al.  Classification of acoustic emission data from buckling test of carbon fibre panel using unsupervised clustering techniques , 2015 .

[15]  J.-F. Maire,et al.  Fatigue Damage Modeling of Composite Structures: the ONERA Viewpoint , 2015 .

[16]  Larry Lessard,et al.  Progressive Fatigue Damage Modeling of Composite Materials, Part I: Modeling , 2000 .

[17]  Kenneth Reifsnider,et al.  A micromechanics model for composites under fatigue loading , 1991 .

[18]  Ian Silversides,et al.  Acoustic emission monitoring of interlaminar delamination onset in carbon fibre composites , 2013 .

[19]  James Hensman,et al.  Acoustic emission for monitoring aircraft structures , 2009 .

[20]  Constantinos Soutis,et al.  Structural health monitoring techniques for aircraft composite structures , 2010 .

[21]  Anindya Ghoshal,et al.  Application of compressed sensing in full-field structural health monitoring , 2012, Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[22]  Matthias Buderath,et al.  The need for guidance on integrating structural health monitoring within military aircraft systems , 2014 .

[23]  H. Whitworth,et al.  Cumulative Damage in Composites , 1990 .

[24]  Michael Coatney,et al.  Detection of damage precursors with embedded magnetostrictive particles , 2016 .

[25]  G. Minak,et al.  Investigation of the damage mechanisms for mode I delamination growth in foam core sandwich composites using acoustic emission , 2015 .

[26]  Tzi-Kang Chen,et al.  Estimating crack growth in rotorcraft structures subjected to mission load spectrum , 2012 .