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 | Wolfson, J. | |
dc.contributor.author | Laflamme, Simon | |
dc.contributor.department | Department of Civil, Construction and Environmental Engineering | |
dc.contributor.department | Department of 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 | |
relation.isAuthorOfPublication | 84547f08-8710-4934-b91e-ba5f46ab9abe | |
relation.isOrgUnitOfPublication | 933e9c94-323c-4da9-9e8e-861692825f91 | |
relation.isOrgUnitOfPublication | a75a044c-d11e-44cd-af4f-dab1d83339ff |
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