Skip to main navigation Skip to search Skip to main content

Research on damage detection of reticulated shell

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Based upon the characteristics of reticulated shells, the representation of residual modal force is derived The concept of sensitive mode shape corresponding to the local damage is introduced and the modal assurance criterion (MAC) is used to determine it. Guyan reduction technique is employed to reduce the analytical model to the test DOFs. The residual modal force and the minimum rank perturbation theory are used to identify the location and extent of the damage using the sensitive mode shapes. Meanwhile, the effect of measurement noise is considered. A single-layer Kiewitt spherical reticulated shell with three simulated damage scenarios is used to demonstrate the approach. The results show that the proposed method can determine the single and multiple damages and evaluate the damage extent in stiffness and mass. It is feasible to damage detection in reticulated shells.

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
Pages807-812
Number of pages6
StatePublished - 2006
Event2nd International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2005 - Shenzhen, China
Duration: 16 Nov 200518 Nov 2005

Publication series

NameStructural Health Monitoring and Intelligent Infrastructure - Proceedings of the 2nd International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2005
Volume2

Conference

Conference2nd International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2005
Country/TerritoryChina
CityShenzhen
Period16/11/0518/11/05

Fingerprint

Dive into the research topics of 'Research on damage detection of reticulated shell'. Together they form a unique fingerprint.

Cite this