Probabilistic Prognosis of Fatigue Crack Growth Using Acoustic Emission Data

This paper presents a structural health monitoring methodology that uses acoustic emission (AE) features to predict crack growth in structural elements subjected to fatigue. This allows for the prediction of the failure of the structural element at the current load level. The methodology uses Bayesian inference to account for different sources of uncertainty such as uncertainty in the data (AE signal), unknown fracture mechanics parameters, and model inadequacy. The methodology is divided into two main components: a model updating component that uses available data to build a joint probability distribution of the different unknown fracture mechanics parameters, and a prognosis component in which this multivariable probability distribution is sampled to predict the stress intensity factor range at a future number of cycles. The application of the methodology does not require knowledge of the load amplitude nor the initial crack length. The methodology is validated using experimental data from a compact test specimen under cyclic loading.

• Record URL:
  https://doi.org/10.1061/(ASCE)EM.1943-7889.0000414
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/07339399
• Supplemental Notes:
  • Copyright © 2011 American Society of Civil Engineers
• Authors:
  • Zarate, Boris A
  • Caicedo, Juan M
  • Yu, Jianguo
  • Ziehl, Paul
• Publication Date: 2012-9

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References;
• Pagination: pp 1101-1111
• Serial:
  • Journal of Engineering Mechanics
  • Volume: 138
  • Issue Number: 9
  • Publisher: American Society of Civil Engineers
  • ISSN: 0733-9399
  • EISSN: 1943-7889
  • Serial URL: http://ascelibrary.org/journal/jenmdt

Subject/Index Terms

• TRT Terms: Acoustic emission; Cracking; Failure; Fracture mechanics; Stresses; Structural health monitoring
• Uncontrolled Terms: Bayesian statistical inference
• Subject Areas: Bridges and other structures; Highways; Maintenance and Preservation; I60: Maintenance;

Filing Info

• Accession Number: 01449709
• Record Type: Publication
• Files: TRIS, ASCE
• Created Date: Oct 22 2012 9:14AM