Damage Localization using Shape Change in Uniform Load Surface for Civil Large-Span Space Structures
Abstract
Civil large-span space structures have been widely built for public assembly venues. The failure of this type of structure may endanger the lives of many people. Considering that the member configuration of this type of structure may follow a regular pattern and damage in a local region may destroy the regular pattern, a damage detection approach based on the change in structural shape has been proposed by the present authors. In that approach, to obtain the change in structural shape due to damage, the displacements at joints between members are required to be measured. Since it is difficult to measure displacements on this type of structure in practice, in this study, the authors proposed to use the shape change of the uniform load surface for damage localization. Uniform load surface physically represents the deflection profile of the structure under the assumed uniformly distributed loading and can be calculated from the flexibility matrix constructed from the identified natural frequencies and mode shapes. This approach can locate damage to exact structural members. It will avoid costly and tedious work in measuring displacements. This approach has been numerically validated on single-layer space structures with two different member configurations.
Recommended Citation
G. G. Yan et al., "Damage Localization using Shape Change in Uniform Load Surface for Civil Large-Span Space Structures," Journal of Intelligent Material Systems and Structures, SAGE Publications Ltd, Nov 2018.
The definitive version is available at https://doi.org/10.1177/1045389X18806388
Department(s)
Civil, Architectural and Environmental Engineering
Research Center/Lab(s)
Center for High Performance Computing Research
Keywords and Phrases
damage detection; dome structure; fractal geometry; uniform load surface
International Standard Serial Number (ISSN)
1045-389X; 1530-8138
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2018 The Authors, All rights reserved.
Publication Date
01 Nov 2018