Probabilistic defect size and location diagnosis algorithm based on bayesian updating

Tishun Peng, Lei Wang, Jianren Zhang, Yibing Xiang, Yongming Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A probabilistic damage size and location diagnosis framework is proposed in this paper. The proposed method integrates the Lambwave-based damage detection and a Bayesian updating method for damage detection and localization. First, finite element method (FEM) is used to simulate the lamb wave propagation within thin aluminum plate, in which the electrical potential response is collected by coupling the piezoelectric element with the mechanical element. Following this, an advanced signal feature interpreting technique is used to extract the damage features, such as the normalized amplitude change and correlation coefficient from the received signal. Next, Bayesian theorem is introduced and probabilistic damage size and location detection framework is developed. Posterior distributions of the damage size and location are obtained using Bayesian updating with identified damage features. Finally, the proposed methodology is demonstrated using for two numerical examples. Some conclusions and future work are drawn based on the proposed study.

Original languageEnglish (US)
Title of host publicationSafety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013
Pages2471-2479
Number of pages9
StatePublished - Dec 1 2013
Event11th International Conference on Structural Safety and Reliability, ICOSSAR 2013 - New York, NY, United States
Duration: Jun 16 2013Jun 20 2013

Publication series

NameSafety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013

Other

Other11th International Conference on Structural Safety and Reliability, ICOSSAR 2013
CountryUnited States
CityNew York, NY
Period6/16/136/20/13

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Safety, Risk, Reliability and Quality

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  • Cite this

    Peng, T., Wang, L., Zhang, J., Xiang, Y., & Liu, Y. (2013). Probabilistic defect size and location diagnosis algorithm based on bayesian updating. In Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013 (pp. 2471-2479). (Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013).