Fracture and Structural Integrity e-ISSN 1971-8993 Open access
Miscellanea Vol. 11, No. 39 (2017)

Probabilistic prediction of fatigue damage based on linear fracture mechanics

Author and affiliation details
  • M. Krejsa Corresponding author martin.krejsa@vsb.cz
  • L. Koubova
  • J. Flodr
  • J. Protivinsky
  • Q. T. Nguyen
DOI
10.3221/IGF-ESIS.39.15
Pages
Pages 143-159
Published

Abstract

Paper describes in detail and gives example of the probabilistic assessment of a steel structural element subject to fatigue load, particular attention being paid to cracks from the edge and those from surface. Fatigue crack damage depends on a number of stress range cycles. Three sizes are important for the characteristics of the propagation of fatigue cracks - the initial size, detectable size and acceptable size. The theoretical model of fatigue crack progression in paper is based on a linear fracture mechanics. When determining the required degree of reliability, it is possible to specify the time of the first inspection of the construction which will focus on the fatigue damage. Using a conditional probability, times for subsequent inspections can be determined. For probabilistic calculation of fatigue crack progression was used the original and new probabilistic methods - the Direct Optimized Probabilistic Calculation (“DOProC”), which is based on optimized numerical integration. The algorithm of the probabilistic calculation was applied in the FCProbCalc code (“Fatigue Crack Probabilistic Calculation”), using which is possible to carry out the probabilistic modelling of propagation of fatigue cracks in a user friendly environment very effectively.

Keywords

Article history

  1. ReceivedUntil the next stage: 0 days
  2. AcceptedUntil the next stage: 0 days
  3. Published

How to cite

APA

Krejsa, M., Koubova, L., Flodr, J., Protivinsky, J., & Nguyen, Q. T. (2016). Probabilistic prediction of fatigue damage based on linear fracture mechanics. Fracture and Structural Integrity, 11(39), Pages 143–159. https://doi.org/10.3221/IGF-ESIS.39.15

IEEE

M. Krejsa, L. Koubova, J. Flodr, J. Protivinsky, and Q. T. Nguyen, “Probabilistic prediction of fatigue damage based on linear fracture mechanics,” Fracture and Structural Integrity, vol. 11, no. 39, pp. Pages 143–159, 2016, doi: 10.3221/IGF-ESIS.39.15.

MLA

Krejsa, M., et al. “Probabilistic prediction of fatigue damage based on linear fracture mechanics.” Fracture and Structural Integrity, vol. 11, no. 39, 2016, pp. Pages 143–159. https://doi.org/10.3221/IGF-ESIS.39.15.

Chicago

Krejsa, M., L. Koubova, J. Flodr, J. Protivinsky, and Q. T. Nguyen. 2016. “Probabilistic prediction of fatigue damage based on linear fracture mechanics.” Fracture and Structural Integrity 11 (39): Pages 143–159. https://doi.org/10.3221/IGF-ESIS.39.15.

Harvard

Krejsa, M., Koubova, L., Flodr, J., Protivinsky, J. and Nguyen, Q.T. (2016) ‘Probabilistic prediction of fatigue damage based on linear fracture mechanics’, Fracture and Structural Integrity, 11(39), pp. Pages 143–159. doi: 10.3221/IGF-ESIS.39.15.

Vancouver

Krejsa M, Koubova L, Flodr J, Protivinsky J, Nguyen QT. Probabilistic prediction of fatigue damage based on linear fracture mechanics. Fracture and Structural Integrity. 2016;11(39):Pages 143-159. doi:10.3221/IGF-ESIS.39.15

BibTeX

@article{krejsa2016, author = {Krejsa, M. and Koubova, L. and Flodr, J. and Protivinsky, J. and Nguyen, Q. T.}, title = {Probabilistic prediction of fatigue damage based on linear fracture mechanics}, journal = {Fracture and Structural Integrity}, year = {2016}, volume = {11}, number = {39}, pages = {Pages 143--159}, doi = {10.3221/IGF-ESIS.39.15}, url = {https://doi.org/10.3221/IGF-ESIS.39.15}, issn = {1971-8993} }

RIS

TY - JOUR AU - Krejsa, M. AU - Koubova, L. AU - Flodr, J. AU - Protivinsky, J. AU - Nguyen, Q. T. TI - Probabilistic prediction of fatigue damage based on linear fracture mechanics JO - Fracture and Structural Integrity T2 - Fracture and Structural Integrity PY - 2016 DA - 2016/12/15 VL - 11 IS - 39 SP - Pages 143 EP - 159 DO - 10.3221/IGF-ESIS.39.15 UR - https://doi.org/10.3221/IGF-ESIS.39.15 SN - 1971-8993 ER -

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