Damage assessment of structural joints using structural identification techniques = 구조계 규명기법에 의한 구조물 접합부의 손상도 추정

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This dissertation presents the development of structural identification procedure for the model updating and joint damage assessment in frame structures. It consists of three parts: i) the modal testing and identification techniques for civil engineering structures, ii) the structural joint modeling for model updating and joint damage assessment, and iii) the structural identification methods including neural networks and inverse perturbation techniques. Firstly, several modal testing methods applied to civil structures were summarized through literature survey. Particularly, the modal identification techniques without input information were introduced and applied to identify several benchmark structures. From the extensive analyses and comparisons, the mostly appropriate techniques for modal identifications are investigated considering the typical conditions of the tests. For modal parameter identification, it is highly recommended to use the frequency domain decomposition method during tests and the stochastic subspace identification method for more accurate estimation. Secondly, the structural joint modeling was presented. For the simple and realistic structural joint model, a beam element with semi-rigid connections was proposed, and the joint damage severity was defined using the reduction ratio of the joint fixity factors before and after damage. Lastly, two types of structural identification techniques were proposed for model updating and damage assessment. They are neural networks and inverse perturbation techniques. Several techniques were also utilized to improve the identification performance: such as substructural identification, noise injection learning for the neural networks, and statistical approach using measurement data perturbation scheme. The proposed techniques were verified through a numerical simulation study for a 2-bay 10-story building and an experimental study for a 2-bay and 4-story frame structure. It was found that the inverse p...
Yun, Chung-Bangresearcher윤정방researcher
한국과학기술원 : 토목공학과,
Issue Date
165807/325007 / 000965318

학위논문(박사) - 한국과학기술원 : 토목공학과, 2001.2, [ ix, 155 p. ]


Inverse Perturbation Technique; Neural Networks Technique; Joint Damage Assessment; Structural Identification; Modal Parameter Identification; 모드계수추정; 역섭동법; 신경망기법; 접합부 손상추정; 구조계 규명기법

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