Non-destructive Testing & Evaluation (NDT&E) & Structural Health Monitoring (SHM)

Description:

Modern Non-destructive Testing & Evaluation (NDT & E) methods including Acoustic Emission (AE), Acousto-Ultrasonics (AU), Ultrasonics (UT), Digital Image Correlation (DIC) and Infrared Thermography (IRT) are used by TAMG to investigate:

  • The state of existing damage in a wide range of modern materials including composites, alloys and smart materials, as well as structural components found in aerospace, marine, oil & gas and transportation industries.
  • The tracking of deformation and damage development across time and length scales by combining traditional NDT&E methods with modern observational tools ranging from TEM/SEM to optical microscopes.

Nondestructive testing is further used as an integral part of a more general Structural Health Monitoring (SHM) system. As such, several NDT&E methods are currently used to collect information about parameters that are related to structural performance including displacements, strains and stresses. This information is combined with advanced post-processing tools to infer on the current operational state and remaining life.

NDT&SHM

Figure: Examples of NDT setups used for materials testing and SHM. (a) Placement of PZT sensors for AE, AU and UT during Mode I testing of a compact tension specimen (top) and actual setup (bottom). (b) Typical results from materials (top) and structural component (bottom) testing.

US Army PEO Soldier

Figure: Overview of funded research program with U.S. Army PEO Soldier, “Non Destructive Approach For Damage Detection In Hard Armor Protective Inserts”. Project results include: Damage morphology characterization; Tap-test physics investigation; Novel technology/methodology assessment; Damage Metrics identification; Prototype concepts proposed.

 AE_aerospace

Figure: Acoustic emission testing on full-scale aerospace structural component. Consulting project results include: Progressive Failure Evaluation; Damage Precursor Metrics; Critical Regions of Failure Initiation; Proposed calculation methodologies for evaluating component performance using AE data.

 

Helicopter field test

Figure: Feasibility test for an aerial inspection with multispectral imagery using a helicopter. The traffic was not stopped during the test and distance of 100ft was maintained by the pilot.

 

Related Publications:

2016 Α. Ellenberg, I. Bartoli, F. Moon and  A. Kontsos*, “Bridge Related Damage Quantification using Aerial Vehicle Imagery“, Structural Control and Health Monitoring, DOI: 10.1002/stc.1831  (View)
2016 S. Rajaram, J. Cuadra, R. Saralaya, I. Bartoli and A. Kontsos*, “In situ CTE Measurements and Damage Detection Using Optical Metrology“, Measurement Science & Technology, Vol. 27, 025202
2015 P.A. Vanniamparambil, R. Carmi, F. Khan, J. Cuadra, I. Bartoli and A. Kontsos, “An active-passive acoustics approach for bond-line condition monitoring in aerospace skin stiffener panels”, Journal of Aerospace Science and Technology, Vol. 43, pp. 289-300 (View)
2015 F. Khan, M. Bolhassani, A. Kontsos, A. Hamid, I. Bartoli. “Modeling and Experimental Implementation of Infrared Thermography on Concrete Masonry Structures”, Infared Physics and Technology, Vol. 69, pp. 228-237 (View)
2015 P.A. Vanniamparambil, U. Guclu, and A. Kontsos, “The identification of crack initiation using advanced acoustic emission analysis”, Experimental Mechanics, Vol. 55, pp. 837-850 (View)
2015 Khan, S. Rajaram, P.A. Vanniamparambil, M. Bolhassani, A. Hamid, A. Kontsos and I. Bartoli, “Multi-sensing NDT for damage assessment of concrete masonry walls”, Structural Control and Health Monitoring, Vol. 22, pp. 449-462 (View)
2014 P.A. Vanniamparambil, M. Bolhassani, R. Carmi, F. Khan, I. Bartoli, F. L Moon, A. Hamid and A. Kontsos, “A data fusion approach for progressive damage quantification in reinforced concrete masonry walls”, Smart Materials and Structures, Vol. 23, pp. 015007 (View)
2014 A. Ellenberg, L. Branco, A. Krick, I. Bartoli and  A. Kontsos, “Use of unmanned aerial vehicle for quantitative infrastructure evaluation”, Journal of Infrastructure Systems. (View)
2013 J. Cuadra, P.A. Vanniamparambil, K. Hazeli, I. Bartoli and A. Kontsos, “Damage Quantification in Polymer Composites using a Hybrid NDT Approach”, Composites Science and Technology, Vol. 83, pp. 11-21 (View)
2013 P.A. Vanniamparambil, F. Khan, K. Hazeli, J. Cuadra, E. Schwartz, A. Kontsos and I. Bartoli, “Novel Optico-Acoustic NDT for Wire Breaks Detection in Cables”, Structural Control and Health Monitoring, Vol. 20, pp. 1339-1350 (View)
2012 P.A. Vanniamparambil, I. Bartoli, K. Hazeli, J. Cuadra, E. Schwartz, R. Saralaya and A. Kontsos, “An integrated SHM approach for crack growth monitoring”, Journal of Intelligent Material Systems & Structures, Vol. 23(14), pp. 1563-1573 (View)