Identification of breathing cracks in a beam structure with entropy

dc.contributor.authorSenake Ralalage, Buddhi Wimarshana
dc.contributor.examiningcommitteeTelichev, Igor (Mechanical Engineering) El-Salakawy, Ehab (Civil Engineering)en_US
dc.contributor.supervisorWu, Nan (Mechanical Engineering) Wu, Christine (Mechanical Engineering)en_US
dc.date.accessioned2016-09-14T13:55:43Z
dc.date.available2016-09-14T13:55:43Z
dc.date.issued2016
dc.degree.disciplineMechanical Engineeringen_US
dc.degree.levelMaster of Science (M.Sc.)en_US
dc.description.abstractDuring vibration of engineering structures, fatigue cracks may exhibit repetitive crack open-close breathing like phenomenon. In this thesis, the concept of entropy is employed to quantify this bi-linearity/irregularity of the vibration response so as to evaluate crack severity. To increase the sensitivity of the entropy calculation to detect the damage severity, entropy is merged with wavelet transformation (WT). A cantilever beam with a breathing crack is studied to asses proposed crack identification method under two vibration conditions: sinusoidal and random excitations. Through numerical simulations and experimental testing, the breathing crack identification under sinusoidal excitation is studied first and proven to be effective. Then, the crack identification sensitivity under lower excitation frequencies is further improved by parametric optimization of sample entropy and WT. Finally, breathing crack identification under general random excitations are experimentally studied and realized using frequency response functions (FRFs) as an add-in tool with the proposed crack identification technique.en_US
dc.description.noteOctober 2016en_US
dc.identifier.urihttp://hdl.handle.net/1993/31748
dc.language.isoengen_US
dc.rightsopen accessen_US
dc.subjectStructural health monitoringen_US
dc.subjectBreathing cracksen_US
dc.subjectCrack identificationen_US
dc.subjectSample entropyen_US
dc.subjectQuantized approximation of sample entropyen_US
dc.subjectWavelet transformationen_US
dc.subjectFrequency response functionen_US
dc.titleIdentification of breathing cracks in a beam structure with entropyen_US
dc.typemaster thesisen_US
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