Computer Science – Neural and Evolutionary Computing
Scientific paper
2008-06-28
Proceedings of the International Conference on Intelligent Unmanned System (ICIUS 2007), Bali, Indonesia, October 24-25, 2007,
Computer Science
Neural and Evolutionary Computing
Uploaded by ICIUS2007 Conference Organizer on behalf of the author(s). 5 pages, 9 figures, and 4 tables
Scientific paper
A computationally method on damage detection problems in structures was conducted using neural networks. The problem that is considered in this works consists of estimating the existence, location and extent of stiffness reduction in structure which is indicated by the changes of the structural static parameters such as deflection and strain. The neural network was trained to recognize the behaviour of static parameter of the undamaged structure as well as of the structure with various possible damage extent and location which were modelled as random states. The proposed techniques were applied to detect damage in a simply supported beam. The structure was analyzed using finite-element-method (FEM) and the damage identification was conducted by a back-propagation neural network using the change of the structural strain and displacement. The results showed that using proposed method the strain is more efficient for identification of damage than the displacement.
Budiyono Agus
Haryanto Ismoyo
Setiawan Joga Dharma
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