Development of a robust output-only strain based damage detection technique for wing-like structures, requiring a minimum number of sensors

dc.contributor.advisorHeyns, P.S. (Philippus Stephanus)en
dc.contributor.emailulrich.spang@gmail.comen
dc.contributor.postgraduateSpangenberg, Ulrichen
dc.date.accessioned2013-09-07T17:52:17Z
dc.date.available2011-05-10en
dc.date.available2013-09-07T17:52:17Z
dc.date.created2011-04-12en
dc.date.issued2009en
dc.date.submitted2010-12-03en
dc.descriptionDissertation (MEng)--University of Pretoria, 2009.en
dc.description.abstractIn recent years more emphasis has been placed on in-situ condition based monitoring of engineering systems and structures. Aerospace components are manufactured from composite materials more often. Structural health monitoring (SHM) systems are required in the aerospace industry to monitor the safety and integrity of the structure and will ensure that composites reach its full potential within the industry. Damage detection techniques form an integral part of such SHM systems. With this work a damage detection technique is developed for intended eventual use on composite structures, but starting first on isotropic structures. The damage mechanism that is of interest is delamination damage in composites. A simple numerical equivalent is implemented here however. Two damage indicators, the strain cumulative damage factor (SCDF) and the strain-frequency damage level (SFDL) are introduced. The respective damage indicators are calculated from output-only strain and acceleration response data. The effectiveness of the system to detect damage in the structure is critically evaluated and compared to other damage detection techniques such as the natural frequency method. The sensitivity to damage and performance of both these indicators is examined numerically by evaluating two deterministic damage cases. The numerical study is enhanced through the use of an updated finite element model. The minimum number of sensors capable of detecting the presence and locate damage spatially is determined from numerical simulations. Monte Carlo type analysis is performed by letting the damaged area vary stochastically and calculating the respective damage indicators. The model updating procedure from measured mobility frequency response functions (FRFs) is described. The application of the technique to real structures is examined experimentally. Two test structures with two different damage scenarios are examined. The spatial location and presence of damage can be established from both the SCDF and SFDL values, respectively. The spatial location obtained from the SCDF values corresponded to the known damage location for both the numerical and experimental study. The SFDL proved to be more sensitive than the natural frequency method and could be used to calculate the level of damage within the structure.en
dc.description.availabilityunrestricteden
dc.description.departmentMechanical and Aeronautical Engineeringen
dc.identifier.citationSpangenberg, U 2009, Development of a robust output-only strain based damage detection technique for wing-like structures, requiring a minimum number of sensors, MEng dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/30065 >en
dc.identifier.otherC11/21/agen
dc.identifier.upetdurlhttp://upetd.up.ac.za/thesis/available/etd-12032010-000847/en
dc.identifier.urihttp://hdl.handle.net/2263/30065
dc.language.isoen
dc.publisherUniversity of Pretoriaen_ZA
dc.rights© 2009 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.en
dc.subjectStrain frfen
dc.subjectAmbient excitationen
dc.subjectOutput-only response dataen
dc.subjectGlobal damage detectionen
dc.subjectResponse-based approachen
dc.subjectUCTDen_US
dc.titleDevelopment of a robust output-only strain based damage detection technique for wing-like structures, requiring a minimum number of sensorsen
dc.typeDissertationen

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