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Title: Modified genetic algorithm approach to system identification with structural and offshore application
Keywords: System identification, Genetic algorithm, Structural health monitoring, Dymanics, Search space reduction method
Issue Date: 22-Mar-2007
Citation: MICHAEL JOHN PERRY (2007-03-22). Modified genetic algorithm approach to system identification with structural and offshore application. ScholarBank@NUS Repository.
Abstract: A novel identification strategy based on genetic algorithms is developed and applied in this thesis. The identification strategy combines a modified genetic algorithm with a search space reduction method, to accurately and efficiently identify unknown parameters of dynamic systems. The strategy is first developed and demonstrated using structural identification problems. Remarkable accuracy is achieved for both numerical and experimental tests on shear-building structures, using only partial, noise contaminaed acceleration measurements. Unlike many existing methods of structural identification, the proposed strategy is applicable to problems where all mass, stiffness and damping parameters are unknown. The strategy is also extended to the output-only case where input force information is not available. Finally, the identification of highly non-linear models for a hydrodynamic oscillator is used to demonstrate the robustness of the strategy. Amplitude dependant added mass, non-linear damping and unknown initial conditions are identified from free decay model tests of a perforated foundation pile.
Appears in Collections:Ph.D Theses (Open)

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