Adaptive Observers for Structural Health Monitoring of High-Rate, Time-Varying Dynamic Systems

dc.contributor.author Joyce, B.
dc.contributor.author Hong, J.
dc.contributor.author Dodson, J.
dc.contributor.author Laflamme, Simon
dc.contributor.author Wolfson, J.
dc.contributor.author Laflamme, Simon
dc.contributor.department Civil, Construction and Environmental Engineering
dc.contributor.department Electrical and Computer Engineering
dc.contributor.department Center for Nondestructive Evaluation (CNDE)
dc.date 2018-09-11T02:27:03.000
dc.date.accessioned 2020-06-30T01:11:49Z
dc.date.available 2020-06-30T01:11:49Z
dc.date.embargo 2018-09-06
dc.date.issued 2018-05-30
dc.description.abstract <p><p id="x-x-Par1">Safe and reliable operation of hypersonic aircraft, space structures, advanced weapon systems, and other high-rate dynamic systems depends on advances in state estimators and damage detection algorithms. High-rate dynamic systems have rapidly changing input forces, rate-dependent and time-varying structural parameters, and uncertainties in material and structural properties. While current structural health monitoring (SHM) techniques can assess damage on the order of seconds to minutes, complex high-rate structures require SHM methods that detect, locate, and quantify damage or changes in the structure’s configuration on the microsecond timescale. <p id="x-x-Par2">This paper discusses the importance of microsecond structural health monitoring (μSHM) and some of the challenges that occur in development and implementation. Two model-based parameter estimators are examined for estimating the states and parameters of an example time-varying system consisting of a two degree of freedom system with a sudden change in a stiffness value that simulates structural damage. The ability of these estimators to track this stiffness change, the role of measurement noise, and the need for persistent excitation are examined.</p>
dc.description.comments <p>This proceeding is published as Joyce, B. S., J. Hong, J. C. Dodson, J. C. Wolfson, and S. Laflamme. "Adaptive observers for structural health monitoring of high-rate, time-varying dynamic systems." In: Niezrecki C., Baqersad J. (eds) <em>Structural Health Monitoring, Photogrammetry & DIC, Conference Proceedings of the Society for Experimental Mechanics Series </em>6 (2019): 109-119. DOI: <a href="http://dx.doi.org/10.1007/978-3-319-74476-6_16" target="_blank">10.1007/978-3-319-74476-6_16</a>.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/ccee_conf/96/
dc.identifier.articleid 1096
dc.identifier.contextkey 12796515
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath ccee_conf/96
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/13724
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/ccee_conf/96/2018_Laflamme_AdaptiveObservers.pdf|||Sat Jan 15 02:35:28 UTC 2022
dc.source.uri 10.1007/978-3-319-74476-6_16
dc.subject.disciplines Dynamics and Dynamical Systems
dc.subject.disciplines Electro-Mechanical Systems
dc.subject.disciplines Engineering Mechanics
dc.subject.disciplines Structural Engineering
dc.subject.disciplines Structural Materials
dc.subject.keywords Time-varying systems
dc.subject.keywords Structural health monitoring
dc.subject.keywords SHM
dc.subject.keywords Damage detection
dc.subject.keywords High-rate state estimation
dc.subject.keywords Adaptive observer
dc.title Adaptive Observers for Structural Health Monitoring of High-Rate, Time-Varying Dynamic Systems
dc.type article
dc.type.genre presentation
dspace.entity.type Publication
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relation.isOrgUnitOfPublication a75a044c-d11e-44cd-af4f-dab1d83339ff
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