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Detection of Structural Local Damage under Partially Measured Input and Output

Author: LiuYaHui
Tutor: LeiYing
School: Xiamen University
Course: Structural Engineering
Keywords: Parameter Identification Partial Observation Least Squares Kalman filter
CLC: TU317
Type: Master's thesis
Year: 2009
Downloads: 42
Quote: 0
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Abstract


Civil engineering structures in the long - term use of the process , due to the impact of the environment , materials aging and other factors , will make the structure to produce different degrees of injury . Structural damage to the structure to reduce the ability to resist extreme loads , which may affect the requirements for use of the structure , and even lead to the occurrence of major accidents , the diagnosis of structural damage caused widespread concern at home and abroad . The engineering structural dynamic response of the incompleteness of the information , the exciting source of uncertainty factors , the traditional identification of dynamical systems theory and method is difficult to directly applied to the detection of the power of the actual engineering structures . Therefore , the parameter identification theory has great application prospects in civil engineering practice . This article in accordance with the above-mentioned practical engineering background , the introduction of a part of the observations of the input-output structure dynamic parameter identification ideological , theoretical and practical research on the kind of problem identification algorithm . This article first summarizes the physical parameters of the time-domain identification theory and algorithms , and build a basic theoretical foundation for the follow-up study of this article . Then in the the existing parameter identification algorithm based on the proposed structure damage diagnosis method an improved input and output under known conditions . The method can accurately identify the unknown incentives and the parameters of the structural unit , and by changes in the structural finite element stiffness injury diagnosis and positioning . This article through several different forms of linear structure numerical example , through a comparative analysis to prove the effectiveness of the method , accuracy and better anti- noise performance . Combined with the extended Kalman filter with unknown incentives under the conditions of the least squares two algorithms Through theoretical derivation of a new structure in the case of input and output sections observation parameter identification method . This method has the deduced easily calculate the advantages of simplicity . The numerical example shows the effectiveness of the method through several different structures in the form of linear structure value . In order to clarify the actual engineering applications of these two identification algorithms , and test the effect of the recognition of this article by identification of the structural parameters of the of three shear frame structures in the different injury cases . The experiments show that both methods are able to more precisely identify the physical parameters of the structure .

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CLC: > Industrial Technology > Building Science > Building structure > Structure theory to calculate > Structural Testing and Inspection
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