Type of Document Dissertation Author Carneiro, Sergio H. S. Author's Email Address firstname.lastname@example.org URN etd-08192000-16520042 Title Model-Based Vibration Diagnostic of Cracked Beams in the Time Domain Degree PhD Department Engineering Mechanics Advisory Committee
Advisor Name Title Inman, Daniel J. Committee Chair Ahmadian, Mehdi Committee Member Batra, Romesh C. Committee Member Dowling, Norman E. Committee Member Thangjitham, Surot Committee Member Keywords
- Damage Detection
- Genetic Algorithms
- Cracked Beams
Date of Defense 2000-08-15 Availability unrestricted AbstractA time-domain model-based crack diagnostic methodology using vibration data is presented. Most of the damage detection methods proposed to date are based on modal parameters and are limited by the loss of information caused by data reduction and by the implicit assumption of linearity. The use of time domain information permits the direct inclusion of the nonlinear behavior due to crack opening-closure cycles. In addition, very little information is lost, since no signal processing or parameter identification steps are involved. The proposed method is based on a continuous model for the transverse vibrations of beams consisting of partial differential equations of motion with varying coefficients to account for the presence of damage.
In order to provide accurate representation of the structure's behavior over a broader frequency range, a new continuous cracked beam model including shear effects and rotatory inertia is developed using the Hu-Washizu-Barr variational method.
The resulting equations of motion are discretized by a Galerkin method using local B-splines as test functions. The crack is assumed to be either fully open or fully closed, resulting in a bilinear system. The simultaneous identification of crack location and depth is performed by minimizing the norm of the differences between the numerical and experimental time responses to multiple excitations. Impact, low frequency sinusoidal and Schroeder--phased multisine inputs are investigated as potential excitation methods. The cost function to be minimized presents several local minima that are shown to be related to the length of the response records. A genetic algorithm is used to overcome the multimodal nature of the objective function. The methodology is validated through simulated identifications of several damage scenarios. The importance of the inclusion of the nonlinear behavior is addressed, and the effects of model uncertainties and measurement noise are quantified in terms of minimum identifiable crack size.
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