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Smart Systems for Damage Detection and Prognosis

Mejia, Paloma Yasmin
http://rave.ohiolink.edu/etdc/view?acc_num=muhonors1114101552

Abstract Details

2005, Bachelor of Science in Applied Science, Miami University, School of Engineering and Applied Science - Manufacturing Engineering.
Health monitoring of structures aims to characterize, asses, and predict damage initiation and propagation. Studies in this field are utilized to provide a damage analysis of structures that allows time-consuming inspections to be avoided. The aim of this work is to use experimental and computational tools to identify key parameters that characterize damage initiation and propagation. More specifically, this thesis will focus on experimental and computational modeling of damaged and healthy automotive exhaustive hangers to determine the main mechanical parameters that will serve to identify damage. The results obtained from computer simulations and laboratory experiments are thoroughly compared and analyzed to observe the changes in mechanical properties of the structure. The evolution of damage in the structure will translate in alterations in its mechanical properties. This report starts by providing a brief introduction to the field of health monitoring and a literature review of available methods for damage identification and prediction. The research approach is also described to introduce the reader to the main tools used in this study. Sections on experimental and computational analysis of the results follow which provides the main findings of this work. Finally, the conclusions and future work section of the report provides a summary of the main findings and the potential usage of these in future studies in the field of prognosis.
Amit Shukla (Advisor)
33 p.
Engineering, Mechanical
damage detection; non-destructive evaluation

Recommended Citations

Citations

  • Mejia, P. Y. (2005). Smart Systems for Damage Detection and Prognosis [Undergraduate thesis, Miami University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=muhonors1114101552

    APA Style (7th edition)

  • Mejia, Paloma. Smart Systems for Damage Detection and Prognosis. 2005. Miami University, Undergraduate thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=muhonors1114101552.

    MLA Style (8th edition)

  • Mejia, Paloma. "Smart Systems for Damage Detection and Prognosis." Undergraduate thesis, Miami University, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=muhonors1114101552

    Chicago Manual of Style (17th edition)

muhonors1114101552
337
© 2005, all rights reserved.
This open access ETD is published by Miami University Honors Theses and OhioLINK.