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By Brian Walsh & Arturo González

An Overview of the Application of Neural Networks to the Monitoring of Civil Engineering Structures. By Brian Walsh & Arturo González. With thanks thanks to the 6 th European Framework Project ARCHES for their generous support. Contents. Introduction to neural networks (NNs)

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By Brian Walsh & Arturo González

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  1. An Overview of the Application of Neural Networks to the Monitoring of Civil Engineering Structures By Brian Walsh & Arturo González With thanks thanks to the 6th European Framework Project ARCHES for their generous support

  2. Contents • Introduction to neural networks (NNs) • Damaged beam simulation • Network training • Results • Number of hidden nodes • Number of input nodes • Size of training set

  3. 1. Introduction to NNs Synapses Cell Body Weighted Connections Activation Function

  4. 1. Introduction to NNs

  5. 2. Damaged Beam Simulation

  6. 2. Damaged Beam Simulation Reduced Stiffness

  7. 2. Damaged Beam Simulation

  8. 3. Network Training Error BP

  9. 4. Results Location Identified EI Profile Identified Severity Estimated Beam Identified

  10. 4. Results 4.1 Number of Nodes in Hidden Layer

  11. 4. Results 4.1 Number of Nodes in Hidden Layer

  12. 4. Results 4.2 Number of Input Nodes

  13. 4. Results 4.3 Size of Training Set

  14. 5. Conclusions • NNs can be an effective tool for damage detection • NNs sensitive to number of nodes & training patterns • Further work Thank you for listening!

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