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Title: Substructural modal identification of large systems
Authors: LONG QUAN
Keywords: system identification, modal parameter, substructure, offshore platform, genetic algorithm, frequency domain
Issue Date: 11-May-2007
Citation: LONG QUAN (2007-05-11). Substructural modal identification of large systems. ScholarBank@NUS Repository.
Abstract: Structural identification is an inverse problem in the domain of system identification. Many classical system identification methods have been developed. However, when it comes to the identification of structures in civil engineering application, the size of the system often becomes overwhelming. Classical methods encounter several problems such as difficulty in convergence, sensitivity to noise and long computing time. In recent decades the rapid development of genetic algorithm (GA) provides an alternative solution to many optimization problems. When the structural system increases in size and complexity, the computing resource demanded by GA rises sharply. This problem hinders the application of GA from practical structural health monitoring. To this end, based on substructural approach and modal identification, a substructural modal identification method is proposed. This method is shown to dramatically reduce convergence time and yet achieve satisfactory accuracy. Thus it provides promising application in large problems of structural system identification. In addition, it is found that frequency domain approach fits well with proposed substructural modal identification method. Therefore it provides an innovative solution to offshore platform identification. Finally, substructural identification of offshore platform is investigated. Numerical illustration examples of SDOF and MDOF identification are provided.
Appears in Collections:Master's Theses (Open)

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