Improving an Experimental Test Bed with Time-Varying Parameters for Developing High-Rate Structural Health Monitoring Methods
With the development of complex structures with high-rate dynamics, such as space structures, weapons systems, or hypersonic vehicles, comes a need for real-time structural health monitoring (SHM) methods. Researchers are developing algorithms for high-rate SHM methods, however, limited data exists on which to test these algorithms. An experimental test bed to simulate high-rate systems with rapid parameter changes was previously presented by the authors. This paper expands on the previous work. The initial configuration consisted of a cantilevered steel beam with a cart-roller system on a linear actuator to create an adjustable boundary condition along the beam, as well as detachable added masses. Experimental results are presented for the system in new configurations during various parameter changes. A clamped-clamped condition to increase the system’s natural frequencies is studied, along with improvements in test repeatability and user control over parameter changes.
KeywordsTime-varying systems Testbed Structural health monitoring SHM Damage detection High-rate state estimation
The material is based upon work supported by the Air Force Office of Scientific Research under award number FA9550-17RWCOR503. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the United States Air Force.
- 2.Hallion, R.P., Bedke, C.M., Schanz, M.V.: Hypersonic Weapons and US National Security, a 21st Century Breakthrough. Mitchell Institute for Aerospace Studies, Air Force Association, Arlington, VA (2016)Google Scholar
- 3.Dodson, J., Inman, D.J., Foley, J.R.: Microsecond structural health montoring in impact loaded structures. In: Proceedings in SPIE, San Diego, CA (2009)Google Scholar
- 4.Lowe, R., Dodson, J., Foley, J.: Microsecond prognostics and health monitoring. In: IEEE Reliability Society Newsletter, p. 60 (2014)Google Scholar
- 5.Kettle, R., Dick, A., Dodson, J., Foley, J., Anton, S.R.: Real-time detection in highly dynamic systems. In: IMAC XXXIV A Conference and Exposition on Structural Dynamics, Orlando, FL (2015)Google Scholar
- 6.Dodson, J., Kettle, R., Anton, S. R.: Microsecond state detection and prognosis using high-rate electromechanical impedance. In: IEEE Prognostics and Health Management Conference, PHM’16 (2016)Google Scholar
- 7.Hong, J., Laflamme, S., Cao, L., Dodson, J.: Variable input observer for structural health monitoring of high-rate systems. In: Proc. AIP Conference Proceedings, p. 07003Google Scholar
- 8.Dodson, J., Joyce, B.S., Hong, J., Laflamme, S., Wolfson, J.: Microsecond state monitoring of nonlinear time-varying dynamic systems. In: ASME 2017 Conference on Smart Materials, Adaptive Structures and Intelligent Systems Snowbird, Utah, USA (2017)Google Scholar
- 9.Joyce, B., Greenoe, K., Dodson, J., Wolfson, J., Abramczyk, S., Karsten, H., Markl, J., Minger, R., Passmore, E.: An experimental test bed with time-varying parameters for developing high-rate structural health monitoring methods. In: IMAC XXXVII A Conference and Exposition on Structural Dynamics, Orlando, FL (2018)Google Scholar
- 10.Blevins, R.D.: Formulas for Natural Frequency and Mode Shape. Van Nostrand Reinhold Co, New York (1979)Google Scholar
- 11.Ewins, D.J.: Modal Testing: Theory, Practice, and Application. Research Studies Press Ltd., Hertfordshire, England (2000)Google Scholar