Methods for Structural Health Monitoring and Damage Detection of Civil and Mechanical Systems

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dc.contributor.authorBisht, Saurabhen
dc.contributor.committeechairSingh, Mahendra P.en
dc.contributor.committeememberHendricks, Scott L.en
dc.contributor.committeememberHajj, Muhammad R.en
dc.contributor.departmentEngineering Science and Mechanicsen
dc.date.accessioned2014-03-14T20:40:18Zen
dc.date.adate2005-07-07en
dc.date.available2014-03-14T20:40:18Zen
dc.date.issued2005-06-16en
dc.date.rdate2005-07-07en
dc.date.sdate2005-06-21en
dc.description.abstractIn the field of structural engineering it is of vital importance that the condition of an ageing structure is monitored to detect damages that could possibly lead to failure of the structure. Over the past few years various methods for monitoring the condition of structures have been proposed. With respect to civil and mechanical structures several methods make use of modal parameters such as, natural frequency, damping ratio and mode shapes. In the present work four methods for modal parameter estimation and two methods for have been evaluated for their application to multi degree of freedom structures. The methods evaluated for modal parameter estimation are: Wavelet transform, Hilbert-Huang transform, parametric system identification and peak picking. Through various numerical simulations the effectiveness of these methods is studied. It is found that the simple peak-picking method performs the best and is able to identify modal parameters most accurately in all the simulation cases that were considered in this study. The identified modal parameters are then used for locating the damage. Herein the flexibility and the rotational flexibility approaches are evaluated for damage detection. The approach based on the rotational flexibility is found to be more effective.en
dc.description.degreeMaster of Scienceen
dc.identifier.otheretd-06212005-215027en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-06212005-215027/en
dc.identifier.urihttp://hdl.handle.net/10919/33672en
dc.publisherVirginia Techen
dc.relation.haspartSSB-allinone.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectstructural health monitoringen
dc.subjectrotational flexibility methoden
dc.subjectflexibility methoden
dc.subjectparametric system identificationen
dc.subjectdamage detectionen
dc.subjectwavelet transformen
dc.subjectHilbert-Huang transformen
dc.titleMethods for Structural Health Monitoring and Damage Detection of Civil and Mechanical Systemsen
dc.typeThesisen
thesis.degree.disciplineEngineering Science and Mechanicsen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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