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Frequency Based Inverse Damage Assessment Technique Using Novel Hybrid Neuro-particle Swarm Optimization

  • Bharadwaj Nanda
  • R. Anand
  • Dipak K. Maiti
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 33)

Abstract

This study proposes the application of a novel hybrid neuro-particle swarm optimization technique in damage assessment problems. Here, PSO is used to optimally fix various elements of ANN architecture like number of neurons, hidden layer, learning coefficients and momentum coefficient, which by large are decided by trial and error. The pertinency of this method is demonstrated by solving few single and multiple element damage identification cases in a steel bridge truss structure wherein the results are found to be encouraging.

Keywords

Damage identification Hybrid neuro-particle swarm optimization Radial basis neural network Natural frequency Stiffness reduction factor 

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Copyright information

© Springer India 2015

Authors and Affiliations

  1. 1.Veer Surendra Sai University of TechnologyBurlaIndia
  2. 2.Indian Institute of TechnologyKharagpurIndia

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