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Presentation
Microsecond State Monitoring of Nonlinear Time-Varying Dynamic Systems
Proceedings of the ASME 2017 Conference on Smart Materials, Adaptive Structures and Intelligent Systems (SMASIS2017)
  • Jacob Dodson, Air Force Research Laboratory
  • Bryan Joyce, University of Dayton Research Institute
  • Applied Research Associates Inc., Applied Research Associates Inc.
  • Simon Laflamme, Iowa State University
  • Janet Wolfson, Air Force Research Laboratory
Document Type
Conference Proceeding
Conference
ASME 2017 Conference on Smart Materials, Adaptive Structures and Intelligent Systems
Publication Version
Published Version
Publication Date
1-1-2017
DOI
10.1115/SMASIS2017-3999
Conference Date
September 18–20, 2017
Geolocation
(40.5804508, -111.6553065)
Abstract

Reliable operation of next generation high-speed complex structures (e.g. hypersonic air vehicles, space structures, and weapons) relies on the development of microsecond structural health monitoring (μSHM) systems. High amplitude impacts may damage or alter the structure, and therefore change the underlying system configuration and the dynamic response of these systems. While state-of-the-art structural health monitoring (SHM) systems can measure structures which change on the order of seconds to minutes, there are no real-time methods for detection and characterization of damage in the microsecond timescales.

This paper presents preliminary analysis addressing the need for microsecond detection of state and parameter changes. A background of current SHM methods is presented, and the need for high rate, adaptive state estimators is illustrated. Example observers are tested on simulations of a two-degree of freedom system with a nonlinear, time-varying stiffness coupling the two masses. These results illustrate some of the challenges facing high speed damage detection.

Comments

This proceeding is published as Dodson, Jacob, Bryan Joyce, Jonathan Hong, Simon Laflamme, and Janet Wolfson. "Microsecond State Monitoring of Nonlinear Time-Varying Dynamic Systems." In ASME 2017 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, pp. V002T05A013-V002T05A013. American Society of Mechanical Engineers, 2017. DOI: 10.1115/SMASIS2017-3999. Posted with permission.

Rights
Works produced by employees of the U.S. Government as part of their official duties are not copyrighted within the U.S. The content of this document is not copyrighted.
Copyright Owner
ASME
Language
en
File Format
application/pdf
Citation Information
Jacob Dodson, Bryan Joyce, Applied Research Associates Inc., Simon Laflamme, et al.. "Microsecond State Monitoring of Nonlinear Time-Varying Dynamic Systems" Snowbird, UTProceedings of the ASME 2017 Conference on Smart Materials, Adaptive Structures and Intelligent Systems (SMASIS2017) Vol. 2 Iss. SMASIS2017-3999 (2017) p. V002T05A013
Available at: http://0-works.bepress.com.library.simmons.edu/simon_laflamme/71/