Show simple item record

dc.contributor.advisor Arafa, Mustafa Elsaid, Bassam 2013-03-10T07:58:20Z 2013-03-10T16:00:09Z 2009 Fall en_US 2013-03-10
dc.description.abstract This thesis covers the development of a model updating technique which relies on the introduction of correction factors to the elemental stiffness matrix of a beam Finite Element Model (FEM). A Genetic Algorithm selects the values of correction factors by minimizing the difference between an experimentally measured Frequency Response Function (FRF) and the FRF calculated from the FEM being updated. The model updating technique was employed as a damage detection algorithm. The first phase of damage detection is to use model updating to eliminate experimental and modeling errors between the FRF of a beam measured experimentally and the FRF of the same beam calculated by FEM. The second step of damage detection is to employ the model updating process to match the FRF of a damaged beam measured experimentally to the response of the updated FEM. A damage index based on the change in FEM correction factors during the second phase is applied to locate damage. Three different cost functions were evaluated and tuned against two different damage cases measured experimentally. Later the best cost function was tested against two damage cases with smaller damage magnitude. The damage detection algorithm showed reasonable accuracy in determining the damage location in all cases. Additionally, this thesis covers the adaptation of strain gauges for dynamic measurement and the associated signal processing and filtering. en_US
dc.format.extent 86 p. en_US
dc.format.medium theses en_US
dc.language.iso en en_US
dc.rights Author retains all rights with regard to copyright. en
dc.subject Finite element method en_US
dc.subject Structural health monitoring en_US
dc.subject.lcsh Thesis (M.A.)--American University in Cairo en_US
dc.subject.lcsh Vibration (Aeronautics) -- Testing.
dc.subject.lcsh Experimental design.
dc.subject.lcsh Engineering mathematics.
dc.title Damage detection via structural model updating using frequency response functions and genetic algorithms en_US
dc.type Text en_US
dc.subject.discipline Engineering en_US
dc.rights.access This item is available en_US
dc.contributor.department American University in Cairo. Dept. of Mechanical Engineering en_US
dc.description.irb American University in Cairo Institutional Review Board approval is not necessary for this item, since the research is not concerned with living human beings or bodily tissue samples. en_US
dc.contributor.committeeMember El Haggar, Salah
dc.contributor.committeeMember Nassef, Ashraf
dc.contributor.committeeMember Metwalli, Sayed

Files in this item


This item appears in the following Collection(s)

  • Theses and Dissertations [1835]
    This collection includes theses and dissertations authored by American University in Cairo graduate students.

Show simple item record