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The application of GA to structural damage identification is an effective method, it is easy to implement and no special requirement concerning the initial values of unknown parameters is needed. In the paper, a nondestructive global damage identification method, an improved Genetic algorithm, is proposed to identify damage location and severity of the structure, which is verified by a number of damage...
This paper presents a nondestructive global damage identification method based on the changes in frequencies, mode shapes and flexibilities of vibration of structural system. The method is applied at an element level, the damage is represented by a reduction factor of the element bending stiffness and an adaptive genetic algorithms (AGA) is proposed to identify damage location and severity, which...
A damage identification method based on improved genetic algorithm (IGA) is presented that accurately identifies both the location and severity of damage in a simulated 3-span continuous beam bridge. Damage identification based on finite element model updating is often used and damage is identified by minimizing the error between measured and analytical results. But whether model updating can be carried...
A novel sensor layout method is proposed for bridge health monitoring. The aim of the method is to select sensor locations from a set of possible candidate positions for achieving the best identification of modal frequencies and mode shapes. Sensor layout problem is a combinatorial optimization problem and genetic algorithm is suitable to solve the problem. Commonly, one dimension coding is often...
The dynamic characteristics of bridge structures are the basis of structural dynamic response and seismic analysis, and are also an important target of health condition monitoring. In this paper, a three-dimensional finite-element model is first established for a highway bridge over a railroad on No.312 National Highway. Based on design drawings, the dynamic characteristics of the bridge are studied...
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