Real-time Structural Health Monitoring of Nonlinear Hysteretic Structures

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dc.contributor.authorNayyerloo, Mostafa
dc.date.accessioned2012-05-06T22:26:27Z
dc.date.available2012-05-06T22:26:27Z
dc.date.issued2011en
dc.description.abstractThe great social and economic impact of earthquakes has made necessary the development of novel structural health monitoring (SHM) solutions for increasing the level of structural safety and assessment. SHM is the process of comparing the current state of a structure’s condition relative to a healthy baseline state to detect the existence, location, and degree of likely damage during or after a damaging input, such as an earthquake. Many SHM algorithms have been proposed in the literature. However, a large majority of these algorithms cannot be implemented in real time. Therefore, their results would not be available during or immediately after a major event for urgent post-event response and decision making. Further, these off-line techniques are not capable of providing the input information required for structural control systems for damage mitigation. The small number of real-time SHM (RT-SHM) methods proposed in the past, resolve these issues. However, these approaches have significant computational complexity and typically do not manage nonlinear cases directly associated with relevant damage metrics. Finally, many available SHM methods require full structural response measurement, including velocities and displacements, which are typically difficult to measure. All these issues make implementation of many existing SHM algorithms very difficult if not impossible. This thesis proposes simpler, more suitable algorithms utilising a nonlinear Bouc-Wen hysteretic baseline model for RT-SHM of a large class of nonlinear hysteretic structures. The RT-SHM algorithms are devised so that they can accommodate different levels of the availability of design data or measured structural responses, and therefore, are applicable to both existing and new structures. The second focus of the thesis is on developing a high-speed, high-resolution, seismic structural displacement measurement sensor to enable these methods and many other SHM approaches by using line-scan cameras as a low-cost and powerful means of measuring structural displacements at high sampling rates and high resolution. Overall, the results presented are thus significant steps towards developing smart, damage-free structures and providing more reliable information for post-event decision making.en
dc.identifier.urihttp://hdl.handle.net/10092/6581
dc.identifier.urihttp://dx.doi.org/10.26021/2558
dc.language.isoen
dc.publisherUniversity of Canterbury. Department of Mechanical Engineeringen
dc.relation.isreferencedbyNZCUen
dc.rightsCopyright Mostafa Nayyerlooen
dc.rights.urihttps://canterbury.libguides.com/rights/thesesen
dc.subjectStructural health monitoring (SHM)en
dc.subjectStructural identificationen
dc.subjectDamage detectionen
dc.subjectearthquake monitoringen
dc.subjectReal-time/onlineen
dc.subjectBouc-Wenen
dc.subjectSensitivity analysisen
dc.subjectLMS adaptive filteringen
dc.subjectPiecewise least squaresen
dc.subjectPlastic deflectionen
dc.subjectSeismic displacement measurementen
dc.subjectLine-scan cameraen
dc.subjectCamera-pattern calibrationen
dc.subjectError evaluationen
dc.subjectMonte Carlo simulationen
dc.titleReal-time Structural Health Monitoring of Nonlinear Hysteretic Structuresen
dc.typeTheses / Dissertations
thesis.degree.disciplineMechanical Engineering
thesis.degree.grantorUniversity of Canterburyen
thesis.degree.levelDoctoralen
thesis.degree.nameDoctor of Philosophyen
uc.bibnumber1764604
uc.collegeFaculty of Engineeringen
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