Structural damage measure index based on non-probabilistic reliability model

Xiaojun Wang, Yong Xia, Xiaoqing Zhou, Chen Yang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

27 Citations (Scopus)


Uncertainties in the structural model and measurement data affect structural condition assessment in practice. As the probabilistic information of these uncertainties lacks, the non-probabilistic interval analysis framework is developed to quantify the interval of the structural element stiffness parameters. According to the interval intersection of the element stiffness parameters in the undamaged and damaged states, the possibility of damage existence is defined based on the reliability theory. A damage measure index is then proposed as the product of the nominal stiffness reduction and the defined possibility of damage existence. This new index simultaneously reflects the damage severity and possibility of damage at each structural component. Numerical and experimental examples are presented to illustrate the validity and applicability of the method. The results show that the proposed method can improve the accuracy of damage diagnosis compared with the deterministic damage identification method.
Original languageEnglish
Pages (from-to)1344-1355
Number of pages12
JournalJournal of Sound and Vibration
Issue number5
Publication statusPublished - 28 Feb 2014

ASJC Scopus subject areas

  • Condensed Matter Physics
  • Acoustics and Ultrasonics
  • Mechanics of Materials
  • Mechanical Engineering


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