Damage detection of thin plate structure using wavelet finite element method

Wen Yu He, Songye Zhu

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

Abstract

This study presents a sub-element damage detection method for thin plate structure based on multi-scale wavelet finite element model (WFEM). Multi-scale dynamical equations of thin plate structures for obtaining the modal parameters is first derived with the tensor product of cubic Hermite multi-wavelets as shape functions. Then model updating technique is employed to detect sub-element damage in a progressive manner, i.e., the suspected damage region is first identified using a low-scale structural model, and then more accurate damage detection results are obtained using a multi-scale model with local refinement. During the detection process, the scales of wavelet elements in the WFEM are adaptively enhanced in the most concerned regions, while the modal properties from the tests remains the same. A numerical example is conducted to verify the effectiveness of the proposed method.
Original languageEnglish
Title of host publicationSHMII 2015 - 7th International Conference on Structural Health Monitoring of Intelligent Infrastructure
PublisherInternational Society for Structural Health Monitoring of Intelligent Infrastructure, ISHMII
Publication statusPublished - 1 Jan 2015
Event7th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2015 - Torino, Italy
Duration: 1 Jul 20153 Jul 2015

Conference

Conference7th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2015
Country/TerritoryItaly
CityTorino
Period1/07/153/07/15

ASJC Scopus subject areas

  • Building and Construction
  • Civil and Structural Engineering
  • Artificial Intelligence

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