Structural condition monitoring and damage identification with artificial neural network

• Main Author: Bakhary, Norhisham
• Format: Thesis
• Published: 2009
• Subjects: QA75 Electronic computers. Computer science; TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/12242/; http://theses.library.uwa.edu.au/adt-WU2009.0102
• Institution: Universiti Teknologi Malaysia

Many methods have been developed and studied to detect damage through the change of dynamic response of a structure. Due to its capability to recognize pattern and to correlate non-linear and non-unique problem, Artificial Neural Networks (ANN) have received increasing attention for use in detecting...