A signal-processing-based approach for damage detection of steel structures

dc.contributor.authorMoghadam, Amin
dc.date.accessioned2019-04-01T13:41:47Z
dc.date.available2019-04-01T13:41:47Z
dc.date.graduationmonthMayen_US
dc.date.issued2019-05-01
dc.date.published2019en_US
dc.description.abstractThis study reports the results of an analytical, experimental and a numerical study (proof of concept study) on a proposed method for extracting the pseudo-free-vibration response of a structure using ambient vibration, usually of a random nature, as a source of excitation to detect any change in the dynamic properties of a structure that may be caused by damage. The structural response contains not only a random component but also a component reflecting the dynamic properties of the structure, comparable to the free vibration for a given initial condition. Structural response to the arbitrary excitation is recorded by one or several accelerometers with a desired data-collection frequency and resolution. The free-vibration response of the structure is then extracted from this data by removing the random component of the response by the method proposed in this study. The features of the free-vibration response of the structure extracted by a suitable method, namely Fast Fourier Transform (FFT) in this study, can be used for change detection. Possible change of the pattern of these features is dominantly linked to the change in dynamic properties of the system, caused by possible damage. To show the applicability of the concept, besides an analytical verification using Newmark’s linear acceleration method, two steel portal frames with different flexural stiffness were made in the steel workshop of the structural laboratory for an experimental study. These structures were also numerically modeled using a finite element software. A wireless accelerometer with a sampling frequency rate of 2046 Hz was affixed on the top of the physical structure, at the same location where the acceleration was recorded for the corresponding numerical model. The physical structure was excited manually by an arbitrary hit and the response of the structure to this excitation, in terms of the acceleration on the top of the structure, was recorded. The pseudo-free-vibration response was extracted and transferred into frequency domain using FFT. The frequency with the largest magnitude which is the fundamental frequency of the structure was traced. This was repeated for several independent excitations and the fundamental frequencies were observed to be the same, showing that the process can correctly identify the natural frequencies of the structure. Similarly, the numerical model was excited and for several base excitation cases, the fundamental frequencies were found to be the same. Considering the acceptable accuracy of the results from the two numerical models in simulating the response of their corresponding physical models, additional numerical models were analyzed to show the consistency and applicability of the proposed method for a range of flexural stiffness and damping ratio. The results confirm that the proposed method can precisely extract the pseudo-free-vibration response of the structures and detect the structural frequencies regardless of the excitation. The fundamental frequency is tied to the stiffness and a larger stiffness leads to a higher frequency, as expected, regardless of the simulated ambient excitation.en_US
dc.description.advisorHani G. Melhemen_US
dc.description.degreeMaster of Scienceen_US
dc.description.departmentDepartment of Civil Engineeringen_US
dc.description.levelMastersen_US
dc.identifier.urihttp://hdl.handle.net/2097/39465
dc.language.isoenen_US
dc.subjectDamage detectionen_US
dc.subjectAmbient-vibration-based approachen_US
dc.subjectPseudo-free-vibration responseen_US
dc.subjectFrequency-domainen_US
dc.subjectFundamental frequencyen_US
dc.titleA signal-processing-based approach for damage detection of steel structuresen_US
dc.typeThesisen_US

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