Nonlinear Structural Health Monitoring of the Responsive Space Satellite Systems Using Magneto Elastic Active Sensors (MEAS)
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... ters Services, Directorate for Information , 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF ABSTRACT 18. NUMBER OF PAGES 19a. NAME OF RESPONSIBLE PERSON Andrei Zagrai a. REPORT b. ABSTRACT c. THIS PAGE 67 19b. TELEPHONE NUMBER 575-835-5636 Standard Form 298 (Rev. 8-98) ABSTRACT The project explores application of magneto-elastic active sensors (MEAS) for structural health monitoring (SHM) of responsive space satellite systems. Design, development and fabrication procedures for MEAS are presented and associated electrical and mechanical characteristics are discussed. MEAS miniaturization efforts are highlighted. Examples of MEAS-enabled SHM testing in aerospace structures of simple and complex geometry, such a honeycomb and realistic satellite panels, are provided. Nonlinear SHM methodologies using MEAS are considered and its use for acousto-elastic assessment of bolted joints is recommended. A new SHM methodology -magneto-mechanical impedance (MMI) testing is suggested and explored from both theoretical and practical perspectives. The MMI measurement technique demonstrates ability for noncontact structural dynamic measurements and effectiveness in detection of fatigue damage at early stage, well before onset of fracture and crack development. Analytical and numerical models of MEAS and MMI are suggested. Finally, MEAS capability for recording dynamics of payload during sub-orbital space flight is validated. The results of the sub-orbital flight measurements suggest feasibility of using MEAS in space environment although characterization of dynamic events was not possible due to limitation of the on-board data acquisition system. It is advocated that MEAS could find its own niche in traditional and innovative SHM methodologies.