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Title: Substructural identification with incomplete measurement for structural damage assessment
Keywords: System identification, damage, structural dynamics, condensation, numerical analysis, experiment
Issue Date: 20-Oct-2004
Citation: TEE KONG FAH (2004-10-20). Substructural identification with incomplete measurement for structural damage assessment. ScholarBank@NUS Repository.
Abstract: This study aims to develop a system identification methodology for determining structural parameters of linear dynamic system, taking into consideration of practical constraints such as large number of unknowns and insufficient sensors. The restrictions are relaxed in this study by a proposed method called the Condensed Model Identification and Recovery (CMIR) Method. This study also explores the possibility of performing system identification at substructure level. Two substructural identification methods are formulated depending on whether the first-order state space model or second-order model is used, namely Substructural First-Order Model Identification (sub-FOMI) method and Substructural Second-Order Model Identification (sub-SOMI) method. The proposed CMIR method and substructural method are thus combined for the identification of stiffness values at substructural level with incomplete measurement. A fairly large structural system with 50 DOFs is identified with good results, taking into consideration the effects of noisy data. Lastly, an experimental study is carried out involving an eight-storey plane frame model subjected to shaker and impulse hammer excitations. The identification results presented in terms of the stiffness integrity index show that the proposed CMIR method, substructural method and the combined methods are able to locate and quantify damage with reasonable degree of accuracy.
Appears in Collections:Ph.D Theses (Open)

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