An overview of structural health monitoring: from hard time to online monitoring
K. D. Mohd Aris, A.Hamdan, F. Mustapha
Structural Health Monitoring (SHM) is defined as the “acquisition, validation and analysis of technical data to facilitate life cycle management decisions”. In addition, SHM denotes as a system with the ability to detect and interpret adverse “changes” in a structure in order to improve reliability and reduce Life Cycle Costs. The most fundamental challenge in designing an SHM system is knowing what “changes” to look for and how to identify them. The characteristics of damage in particular structures play a key role in defining the architecture of the SHM system. The resulting “changes,” or damage signature, will dictate the type of sensors that are required, which determines the requirement for the rest of the components in the systems. Next, the scope of condition based monitoring (CBM) is discussed through the use of the various non-destructive inspection (NDI) techniques which are available for damage detection on advanced composite structures both at present and in the near future. In addition, the limitation of current NDI techniques is discussed and how this has created the path for the Structural Health Monitoring to be implemented.
Structural Health Monitoring (SHM), Non-Destructive Inspection, Condition Monitoring, Composite Material
Published online 3/16/2017, 24 pages
Copyright © 2016 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: K. D. Mohd Aris, A.Hamdan, F. Mustapha, ‘An overview of structural health monitoring: from hard time to online monitoring’, Materials Research Foundations, Vol. 13, pp 26-49, 2017
The article was published as article 2 of the book Innovation in Smart Materials and Structural Health Monitoring for Composite Applications
 Arby, J.C., Choi, Y.K., Chateauminois, A., Dalloz, B. Giraud G. and Salvia, M. 2001. In-situ monitoring of damage in CFRP laminates by means of AC and Dc measurement, Composite Science and Technology, 61: 855-864.
 Benedettini, O., Baines, T.S., Lightfoot, H.W. and Greenough, R.N. 2009. State of the art in integrated vehicle health management, Journal of Aerospace Engineering, 233: 157-170.
 Chia, C.C., Lee, J.R., and Park, C.Y. 2012. Radome health management based on synthesized impact detection, laser ultrasonic spectral imaging, and wavelet-transformed ultrasonic propagation imaging methods, Composites Part B: Engineering, 43(8): 2898-2906.
 Chia. C.C., Lee, J.R., Park, J.S., Yun, C.Y. and Kim, J.H. 2008. New design and algorithm for an ultrasonic propagation imaging system. Proc Defektoskopie, 4:63–70.
 Chiu, K, Koh, Y.L, Galea, S.C. and Rajic, N. 2000. Smart structure application in bonded repairs, Composite Structures, 50: 433-444.
 Garg, D.P., Zikry, M.A., Anderson, G.L. and Stepp, D. 2002. Health Monitoring and reliability of adaptive heterogeneous structures, Structural health monitoring,1(1): 23- 39.
 Garret, R.C., Peters, K.J. and Zikry, M.A. 2009. In-situ impact induced damage assessment of woven composite laminates through a fiber Bragg grating senor network, The Aeronautical Journal, 113(1144): 357-369.
 Giurgiutiu, V. 2008., Structural Health Monitoring with piezoelectric Wafer active sensors, USA: John Wiley.
 Giurgiutiu, V., Zagrai, A. and Bao, J.J. 2002. Piezoelectric wafer embedded active sensors for aging aircraft structural health monitoring, Structural Health Monitoring, 1(41): 41-61.
 Henderson, I.R., 2002. Piezo Ceramics: Principles and Applications, APC USA: International Inc.
 Herrera, J. M. and Vasigh, B. 2009. A basic analysis of aging aircraft, region of thye world and accidents, Journal of Business and economics Research, 7(5): 121-132.
 Hill, K.O., Fujii, F., Johnson, D.C. and Kawasaki, B. 1978. Photosensitivity on optical fiber waveguides: Application to reflection filters fabrication, Applied Physics Letters, 32: 647-649.
 Katsikeros, C.E. and Labeas, G.N. 2009. Development and validation of a strain-based Structural Health Monitoring system, Mechanical Systems and Signal Processing, 23(2): 372-383.
 Kesser, S.S. 2002. PhD Thesis: Piezoelectric-based insitu damage detection of composite materials for structural health monitoring systems, in Department of Aeronautics and Astronautics Massachusetts Institute of Technology, Massachusetts Institute of Technology, Massachusetts
 Kousourakis, A., Bannister, M.K. and Mouritz, A.P. 2008. Tensile and compressive properties of polymer laminates containing internal sensor cavities, Composites: Part A, 39: 1394 – 1403.
 Lee, J., Chia, C.C., Shin, H.J., Park, C. and Yoon, D.J. 2011. Laser ultrasonic propagation imaging method in the frequency domain base on wavelet transformation, Optics an lasers in Engineering, 49: 167-175.
 Lee, J.R. and Yoon, C.Y. 2009. Development of an optical system for simultaneous ultrasonic wave propagation imaging at multi-points, Experimental Mechanics, 50(7): 1041-1049
 Lopez, I. and Klijn, N. S. 2010. A review of uncertainty in flight vehicle structural damage monitoring, diagnosis and control: Challenges and opportunities, Progress in Aerospace Sciences, 46: 247-273.
 Michie, C. 2000. Optical fiber sensors for advanced composite materials, Comprehensive Composite Materials, USA: Elsevier
 Mrad, N. 2002. Optical fiber sensor technology: Introduction and evaluation and application: Encyclopedia of Smart Materials, Vol. 2., USA: John Wiley and Sons, 715-737.
 Qiu, L. and Yuan, S. 2009. On development of a multi-channel PZT array scanning system and its evaluating application on UAV wing box, Sensors and Actuator, 15: 220-230.
 Roach, D. 2009. Real time crack detection using mountable comparative vacuum monitoring sensors, Smart Structures and Systems, 5(4): 317-328.
 Ryu, C., Lee, J., Kim, C., and Hong, C. 2008. Buckling behavior monitoring of a composite wing box using multiplexed and multi-channel built in fiber Bragg grating strain sensors, NDT & E, 41: 534-543.
 Salas, K.I. and Cesnik, C.E.S. 2009. CLoVER: An Alternative concept for damage interrogation in structural health monitoring systems, The Aeronautical Journal, 113(1144): 339- 357.
 Scruby, C.B. and Drain, L.E. 1990. Laserultrasonics—techniques and applications. England: IOP Publishing
 Sonatest Inc. 2013. Sitescan D+ Series, Sonatest Limited, Part No. 147359, Issue 2, Product Brochure retrieved on 28 August 2013 from http://www.sonatest.com/products/range/ transducers/probes/single/.
 Staszewski, W.J, Mahzan, S. and Traynor, R. 2009. Health monitoring of aerospace composite structures-active and passive approach, Composite Science and Technology, 69: 1678-1685.
 Valdes S.H.D. and Soutis C. 1999. Delamination detection in composite laminates from variation of their modal characteristics”, Journal of Sound and Vibration, 1: 1-9.
 Verijenko, B. and Verijenko, V. 2005. A new structural health monitoring for composite laminates, Composite Structures, 21: 315-319.
 Wang, S., Kovalik, D.P. and Ching, D.D.L. 2004 Self sensing attained in carbon fiber polymer matrix structural composites by using the interlaminar interface as a sensor, Smart Material Structure, 13: 570-592.
 White, C., Herszberg, I. and Mouritz, A.P. 2009. Structural Consequences of Sensor Cavities In Scarf Repairs, Materials Forum. 33: 427-434
 Whittingham, B., Li, H.C.H., Herszberg, I. and Chiu, W.K. 2006. A disbond detection in adhesively bonded composite structures using vibration signatures Composite Structures, 75: 351–363.
 Zhang, H., Schulz M.J. and Feruson, F. 2002. Structural health monitoring using transmittance functions, Mechanical Systems and Signal processing, 2: 357-37