Application of grey control system model to structural damage identification

L. Y. Xie, S. T. Xue, Y. Y. Qian, H. T. Zheng, Akira Mita

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

Abstract

Development of health monitoring system of construction becomes an important task for structure damage identification. Since the building structure has many indeterminable factors, the method using modal analysis to identify the structure damage is of less precision. A method applying the grey system to the structural damage identification is presented. The grey system of the frequency variance rate and the stiffness change is established with the first-order single argument grey system (GM(1,1)). GM(1,1) prediction is used to reflect the global function of the structural dynamic fingerprints and find out the relation of the frequency variance rate and the stiffness change. Vibration tests for frame structures were carried out, with considered many cases, including single-damage and multi-damage with different degrees and locations. The results show that for shear buildings, damage degree and location can be determined by using the grey system created through measuring the frequency change.

Original languageEnglish
Title of host publicationStructural Health Monitoring and Intelligent Infrastructure - Proceedings of the 1st International Conference on Structural Health Monitoring and Intelligent Infrastructure
Pages629-633
Number of pages5
Volume1
Publication statusPublished - 2003
Event1st International Conference on Structural Health Monitoring and Intelligent Infrastructure, SHMII-1'2003 - Tokyo, Japan
Duration: 2003 Nov 132003 Nov 15

Other

Other1st International Conference on Structural Health Monitoring and Intelligent Infrastructure, SHMII-1'2003
CountryJapan
CityTokyo
Period03/11/1303/11/15

Fingerprint

Identification (control systems)
Stiffness
Control systems
Structural dynamics
Modal analysis
Health
Monitoring

ASJC Scopus subject areas

  • Building and Construction
  • Architecture

Cite this

Xie, L. Y., Xue, S. T., Qian, Y. Y., Zheng, H. T., & Mita, A. (2003). Application of grey control system model to structural damage identification. In Structural Health Monitoring and Intelligent Infrastructure - Proceedings of the 1st International Conference on Structural Health Monitoring and Intelligent Infrastructure (Vol. 1, pp. 629-633)

Application of grey control system model to structural damage identification. / Xie, L. Y.; Xue, S. T.; Qian, Y. Y.; Zheng, H. T.; Mita, Akira.

Structural Health Monitoring and Intelligent Infrastructure - Proceedings of the 1st International Conference on Structural Health Monitoring and Intelligent Infrastructure. Vol. 1 2003. p. 629-633.

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

Xie, LY, Xue, ST, Qian, YY, Zheng, HT & Mita, A 2003, Application of grey control system model to structural damage identification. in Structural Health Monitoring and Intelligent Infrastructure - Proceedings of the 1st International Conference on Structural Health Monitoring and Intelligent Infrastructure. vol. 1, pp. 629-633, 1st International Conference on Structural Health Monitoring and Intelligent Infrastructure, SHMII-1'2003, Tokyo, Japan, 03/11/13.
Xie LY, Xue ST, Qian YY, Zheng HT, Mita A. Application of grey control system model to structural damage identification. In Structural Health Monitoring and Intelligent Infrastructure - Proceedings of the 1st International Conference on Structural Health Monitoring and Intelligent Infrastructure. Vol. 1. 2003. p. 629-633
Xie, L. Y. ; Xue, S. T. ; Qian, Y. Y. ; Zheng, H. T. ; Mita, Akira. / Application of grey control system model to structural damage identification. Structural Health Monitoring and Intelligent Infrastructure - Proceedings of the 1st International Conference on Structural Health Monitoring and Intelligent Infrastructure. Vol. 1 2003. pp. 629-633
@inproceedings{1c28056235924614b06e4201465784d5,
title = "Application of grey control system model to structural damage identification",
abstract = "Development of health monitoring system of construction becomes an important task for structure damage identification. Since the building structure has many indeterminable factors, the method using modal analysis to identify the structure damage is of less precision. A method applying the grey system to the structural damage identification is presented. The grey system of the frequency variance rate and the stiffness change is established with the first-order single argument grey system (GM(1,1)). GM(1,1) prediction is used to reflect the global function of the structural dynamic fingerprints and find out the relation of the frequency variance rate and the stiffness change. Vibration tests for frame structures were carried out, with considered many cases, including single-damage and multi-damage with different degrees and locations. The results show that for shear buildings, damage degree and location can be determined by using the grey system created through measuring the frequency change.",
author = "Xie, {L. Y.} and Xue, {S. T.} and Qian, {Y. Y.} and Zheng, {H. T.} and Akira Mita",
year = "2003",
language = "English",
isbn = "9058096483",
volume = "1",
pages = "629--633",
booktitle = "Structural Health Monitoring and Intelligent Infrastructure - Proceedings of the 1st International Conference on Structural Health Monitoring and Intelligent Infrastructure",

}

TY - GEN

T1 - Application of grey control system model to structural damage identification

AU - Xie, L. Y.

AU - Xue, S. T.

AU - Qian, Y. Y.

AU - Zheng, H. T.

AU - Mita, Akira

PY - 2003

Y1 - 2003

N2 - Development of health monitoring system of construction becomes an important task for structure damage identification. Since the building structure has many indeterminable factors, the method using modal analysis to identify the structure damage is of less precision. A method applying the grey system to the structural damage identification is presented. The grey system of the frequency variance rate and the stiffness change is established with the first-order single argument grey system (GM(1,1)). GM(1,1) prediction is used to reflect the global function of the structural dynamic fingerprints and find out the relation of the frequency variance rate and the stiffness change. Vibration tests for frame structures were carried out, with considered many cases, including single-damage and multi-damage with different degrees and locations. The results show that for shear buildings, damage degree and location can be determined by using the grey system created through measuring the frequency change.

AB - Development of health monitoring system of construction becomes an important task for structure damage identification. Since the building structure has many indeterminable factors, the method using modal analysis to identify the structure damage is of less precision. A method applying the grey system to the structural damage identification is presented. The grey system of the frequency variance rate and the stiffness change is established with the first-order single argument grey system (GM(1,1)). GM(1,1) prediction is used to reflect the global function of the structural dynamic fingerprints and find out the relation of the frequency variance rate and the stiffness change. Vibration tests for frame structures were carried out, with considered many cases, including single-damage and multi-damage with different degrees and locations. The results show that for shear buildings, damage degree and location can be determined by using the grey system created through measuring the frequency change.

UR - http://www.scopus.com/inward/record.url?scp=84857704047&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84857704047&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84857704047

SN - 9058096483

SN - 9789058096487

VL - 1

SP - 629

EP - 633

BT - Structural Health Monitoring and Intelligent Infrastructure - Proceedings of the 1st International Conference on Structural Health Monitoring and Intelligent Infrastructure

ER -