High-Level Structure of the Shear Parameter Identification and Damage Detection Based on Elman Neural Network

Abstract:

This paper presents a new method, based on Elman neural network approach for structural parameter identification. According to the Features of shear-type structure, Proposed identification strategy of the structure parameter and damage detection method. Determine the structural damage and Recognition of damage location and extent of damage by comparing different periods of the structure stiffness. Simulation results show that this method identified structural stiffness values are still high accuracy, and to achieve accurate identification and location of structural damage.

• Periodical: Advanced Materials Research (Volumes 562-564)
• Pages: 886-889
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.562-564.886
• Online since: August 2012
• Authors: Wei Chen, Lin Zhou
• Keywords: High Shear-Type Structure, Loss Simulation Testing, Neural Network (NN), Parameter Identification

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