Qualitative and quantitative damage detection algorithm for structures using pattern classification and sensitivity analysis

Akira Mita, Y. Y. Qian

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Structural identification for health monitoring involves comparison of changes in structural properties or response, and it can be viewed as pattern classification problems. The fundamental idea of the pattern classification approach is to use training data to determine the classifiers to evaluate the categories of die test data. However, a very large database is required to store training data for complicated damage cases if no technique to reduce the size is used. This paper presents an approach with the purpose of using the least possible sensors. The structural damage location and damage extent are identified respectively by two different methods of pattern classification, that are, the Parzen-window method for the structural damage location firstly and the feed-forward back-propagation neural network used to identify damage extent secondly. The results of numerical simulations show that our proposed approach can indeed identify the structural damage using small number of sensors. Finally, a series of vibration experiments for the 5-story shear frame structure were performed to verify the performance of our proposed approach. The results show that for shear buildings, damage degree and extent can be successfully determined through measuring the frequency change.

Original languageEnglish
Title of host publicationStructural Health Monitoring and Intelligent Infrastructure - Proceedings of the 2nd International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2005
Pages201-205
Number of pages5
Volume1
Publication statusPublished - 2006
Event2nd International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2005 - Shenzhen, China
Duration: 2005 Nov 162005 Nov 18

Other

Other2nd International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2005
CountryChina
CityShenzhen
Period05/11/1605/11/18

Fingerprint

Damage detection
Sensitivity analysis
Pattern recognition
Sensors
Backpropagation
Structural properties
Classifiers
Health
Neural networks
Monitoring
Computer simulation
Experiments

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction

Cite this

Mita, A., & Qian, Y. Y. (2006). Qualitative and quantitative damage detection algorithm for structures using pattern classification and sensitivity analysis. In Structural Health Monitoring and Intelligent Infrastructure - Proceedings of the 2nd International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2005 (Vol. 1, pp. 201-205)

Qualitative and quantitative damage detection algorithm for structures using pattern classification and sensitivity analysis. / Mita, Akira; Qian, Y. Y.

Structural Health Monitoring and Intelligent Infrastructure - Proceedings of the 2nd International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2005. Vol. 1 2006. p. 201-205.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mita, A & Qian, YY 2006, Qualitative and quantitative damage detection algorithm for structures using pattern classification and sensitivity analysis. in Structural Health Monitoring and Intelligent Infrastructure - Proceedings of the 2nd International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2005. vol. 1, pp. 201-205, 2nd International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2005, Shenzhen, China, 05/11/16.
Mita A, Qian YY. Qualitative and quantitative damage detection algorithm for structures using pattern classification and sensitivity analysis. In Structural Health Monitoring and Intelligent Infrastructure - Proceedings of the 2nd International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2005. Vol. 1. 2006. p. 201-205
Mita, Akira ; Qian, Y. Y. / Qualitative and quantitative damage detection algorithm for structures using pattern classification and sensitivity analysis. Structural Health Monitoring and Intelligent Infrastructure - Proceedings of the 2nd International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2005. Vol. 1 2006. pp. 201-205
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