Damage Identification of Benchmark Structure Using ANN

Abstract:

This paper presents an application of artificial neural network for damage identification of benchmark structure that is developed by the ASCE Task Group on Structure Health Monitoring. Many SHM studies apply their methods to the benchmark structure and test their methods. The benchmark structure is divided to three substructures such as brace, column and beam, so the first stage of damage identification is that the damage substructure is identified and the second stage of damage identification is that damage location in substructure is identified. When the damage identification is numerical simulated, the single damage and multi-damage are considered. The method of two stages is applied in the two conditions and ANN is used in every stage. From the result of numerical simulation, ANN can correctly identify the damage substructure and damage location in brace substructure and column substructure.

• Periodical: Applied Mechanics and Materials (Volumes 152-154)
• Pages: 796-801
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.152-154.796
• Online since: January 2012
• Authors: Xiao Ming Yang, Ya Mei Mi
• Keywords: Artificial Neural Network (ANN), Benchmark Structure, Damage Identification, Substructure

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