An Experimental Test Bed for Developing High-Rate Structural Health Monitoring Methods

Complex, high-rate dynamic structures, such as hypersonic air vehicles, space structures, and weapon systems, require structural health monitoring (SHM) methods that can detect and characterize damage or a change in the system’s configuration on the order of microseconds. While high-rate SHM methods...

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Main Authors: Bryan Joyce, Jacob Dodson, Simon Laflamme, Jonathan Hong
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2018/3827463
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spelling doaj-9c5f25a70e6749e699f0b8ff1c16e6132020-11-24T22:36:05ZengHindawi LimitedShock and Vibration1070-96221875-92032018-01-01201810.1155/2018/38274633827463An Experimental Test Bed for Developing High-Rate Structural Health Monitoring MethodsBryan Joyce0Jacob Dodson1Simon Laflamme2Jonathan Hong3Energy Technologies and Materials Division, University of Dayton Research Institute, Eglin AFB, FL 32542, USAAir Force Research Laboratory (AFRL/RWMF), Eglin AFB, FL 32542, USADepartment of Civil, Construction, and Environmental Engineering, Iowa State University, Ames, IA 50011, USAApplied Research Associates, Emerald Coast Division, Niceville, FL 32578, USAComplex, high-rate dynamic structures, such as hypersonic air vehicles, space structures, and weapon systems, require structural health monitoring (SHM) methods that can detect and characterize damage or a change in the system’s configuration on the order of microseconds. While high-rate SHM methods are an area of current research, there are no benchmark experiments for validating these algorithms. This paper outlines the design of an experimental test bed with user-selectable parameters that can change rapidly during the system’s response to external forces. The test bed consists of a cantilever beam with electronically detachable added masses and roller constrains that move along the beam. Both controllable system changes can simulate system damage. Experimental results from the test bed are shown in both fixed and changing configurations. A sliding mode observer with a recursive least squares parameter estimator is demonstrated that can track the system’s states and changes in its first natural frequency.http://dx.doi.org/10.1155/2018/3827463
collection DOAJ
language English
format Article
sources DOAJ
author Bryan Joyce
Jacob Dodson
Simon Laflamme
Jonathan Hong
spellingShingle Bryan Joyce
Jacob Dodson
Simon Laflamme
Jonathan Hong
An Experimental Test Bed for Developing High-Rate Structural Health Monitoring Methods
Shock and Vibration
author_facet Bryan Joyce
Jacob Dodson
Simon Laflamme
Jonathan Hong
author_sort Bryan Joyce
title An Experimental Test Bed for Developing High-Rate Structural Health Monitoring Methods
title_short An Experimental Test Bed for Developing High-Rate Structural Health Monitoring Methods
title_full An Experimental Test Bed for Developing High-Rate Structural Health Monitoring Methods
title_fullStr An Experimental Test Bed for Developing High-Rate Structural Health Monitoring Methods
title_full_unstemmed An Experimental Test Bed for Developing High-Rate Structural Health Monitoring Methods
title_sort experimental test bed for developing high-rate structural health monitoring methods
publisher Hindawi Limited
series Shock and Vibration
issn 1070-9622
1875-9203
publishDate 2018-01-01
description Complex, high-rate dynamic structures, such as hypersonic air vehicles, space structures, and weapon systems, require structural health monitoring (SHM) methods that can detect and characterize damage or a change in the system’s configuration on the order of microseconds. While high-rate SHM methods are an area of current research, there are no benchmark experiments for validating these algorithms. This paper outlines the design of an experimental test bed with user-selectable parameters that can change rapidly during the system’s response to external forces. The test bed consists of a cantilever beam with electronically detachable added masses and roller constrains that move along the beam. Both controllable system changes can simulate system damage. Experimental results from the test bed are shown in both fixed and changing configurations. A sliding mode observer with a recursive least squares parameter estimator is demonstrated that can track the system’s states and changes in its first natural frequency.
url http://dx.doi.org/10.1155/2018/3827463
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