Displacement of a skyscraper using various types of field monitoring data

Yong Xia, P. Zhang, Yiqing Ni

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)


Structure health monitoring (SHM) systems generates huge amount of data. Utlilization and interpret of the data are critical for the structural performance evaluation. Various data fusion and data mining techniques have been proposed, whereas real applications are still limited. This paper demonstrates a new use of strain data for displacement calculation. Based on the beam bending theory, the transverse displacement can be calculated from the strain (or curvature) of the beam. When the strain data of different segments are available, the transverse displacement of the entire component can be estimated. The technique is applied to the Canton Tower (previously known as Guangzhou New TV Tower), on which a long-term health monitoring system including over 300 strain gauges at various heights has been installed. The calculated displacements under normal temperature action and typhoon action are compared with those using GPS and a good agreement is observed. Error analysis shows that the accuracy of this technique is about 1 cm for the Canton Tower.
Original languageEnglish
Title of host publicationStructural Health Monitoring 2013
Subtitle of host publicationA Roadmap to Intelligent Structures - Proceedings of the 9th International Workshop on Structural Health Monitoring, IWSHM 2013
PublisherDEStech Publications
Number of pages7
ISBN (Electronic)9781605951157
Publication statusPublished - 1 Jan 2013
Event9th International Workshop on Structural Health Monitoring: A Roadmap to Intelligent Structures, IWSHM 2013 - Stanford University, Stanford, United States
Duration: 10 Sep 201312 Sep 2013


Conference9th International Workshop on Structural Health Monitoring: A Roadmap to Intelligent Structures, IWSHM 2013
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Information Management

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