Fracture and Structural Integrity e-ISSN 1971-8993 Open access
SI: Modeling in Structural Integrity Vol. 19, No. 71 (2025)

Stochastic Modeling of Structural Fatigue Damage in High Strength Steel Structures

Author and affiliation details
  • Jiri Brozovsky Corresponding author VSB - Technical University of Ostrava, Czech Republic jiri.brozovsky@vsb.cz
  • Martin Krejsa VSB - Technical University of Ostrava, Czech Republic ORCID iD0000-0003-0571-2616
  • Petr Lehner VSB - Technical University of Ostrava, Czech Republic ORCID iD0000-0002-1478-5027
  • Premysl Parenica VSB - Technical University of Ostrava, Czech Republic ORCID iD0000-0002-5491-1542
  • Stanislav Seitl Institute of Physics of Materials AS CR, v. v. i., Czech Republic
DOI
10.3221/IGF-ESIS.71.20
Pages
273-284
Published
Licence
CC BY 4.0
Published inVol. 19, No. 71 (2025)Go to the issue

Abstract

The paper proposes a parallel extension of the Direct Optimized Probability Computation Method. This method can be used as an alternative to Monte Carlo – based approaches for problems of structural reliability. It does not depend on any kind of randomly generated numbers, but it requires a much higher number of computations thus it can benefit from its parallelization. The proposed parallel Direct Optimized Probability Computation method is developed and studied on the problem of fatigue damage prediction. Description of the parallel algorithm is provided, and the functionality of the method is shown in an example case. The results are also compared to the results of the more common Monte Carlo – based approach.

Keywords

Article history

  1. ReceivedUntil the next stage: 20 days
  2. Revision requestedUntil the next stage: 8 days
  3. RevisedUntil the next stage: 0 days
  4. AcceptedUntil the next stage: 36 days
  5. Published

Statements

Funding

Czech Science Foundation

How to cite

APA

Brozovsky, J., Krejsa, M., Lehner, P., Parenica, P., & Seitl, S. (2024). Stochastic Modeling of Structural Fatigue Damage in High Strength Steel Structures. Fracture and Structural Integrity, 19(71), 273–284. https://doi.org/10.3221/IGF-ESIS.71.20

IEEE

J. Brozovsky, M. Krejsa, P. Lehner, P. Parenica, and S. Seitl, “Stochastic Modeling of Structural Fatigue Damage in High Strength Steel Structures,” Fracture and Structural Integrity, vol. 19, no. 71, pp. 273–284, 2024, doi: 10.3221/IGF-ESIS.71.20.

MLA

Brozovsky, Jiri, et al. “Stochastic Modeling of Structural Fatigue Damage in High Strength Steel Structures.” Fracture and Structural Integrity, vol. 19, no. 71, 2024, pp. 273–284. https://doi.org/10.3221/IGF-ESIS.71.20.

Chicago

Brozovsky, Jiri, Martin Krejsa, Petr Lehner, Premysl Parenica, and Stanislav Seitl. 2024. “Stochastic Modeling of Structural Fatigue Damage in High Strength Steel Structures.” Fracture and Structural Integrity 19 (71): 273–284. https://doi.org/10.3221/IGF-ESIS.71.20.

Harvard

Brozovsky, J., Krejsa, M., Lehner, P., Parenica, P. and Seitl, S. (2024) ‘Stochastic Modeling of Structural Fatigue Damage in High Strength Steel Structures’, Fracture and Structural Integrity, 19(71), pp. 273–284. doi: 10.3221/IGF-ESIS.71.20.

Vancouver

Brozovsky J, Krejsa M, Lehner P, Parenica P, Seitl S. Stochastic Modeling of Structural Fatigue Damage in High Strength Steel Structures. Fracture and Structural Integrity. 2024;19(71):273-284. doi:10.3221/IGF-ESIS.71.20

BibTeX

@article{brozovsky2024, author = {Brozovsky, Jiri and Krejsa, Martin and Lehner, Petr and Parenica, Premysl and Seitl, Stanislav}, title = {Stochastic Modeling of Structural Fatigue Damage in High Strength Steel Structures}, journal = {Fracture and Structural Integrity}, year = {2024}, volume = {19}, number = {71}, pages = {273--284}, doi = {10.3221/IGF-ESIS.71.20}, url = {https://doi.org/10.3221/IGF-ESIS.71.20}, issn = {1971-8993} }

RIS

TY - JOUR AU - Brozovsky, Jiri AU - Krejsa, Martin AU - Lehner, Petr AU - Parenica, Premysl AU - Seitl, Stanislav TI - Stochastic Modeling of Structural Fatigue Damage in High Strength Steel Structures JO - Fracture and Structural Integrity T2 - Fracture and Structural Integrity PY - 2024 DA - 2024/11/28 VL - 19 IS - 71 SP - 273 EP - 284 DO - 10.3221/IGF-ESIS.71.20 UR - https://doi.org/10.3221/IGF-ESIS.71.20 SN - 1971-8993 ER -

Licence

Creative Commons Attribution 4.0 International

May be shared and adapted, provided appropriate credit is given. Copyright © 2024 Jiri Brozovsky, Martin Krejsa, Petr Lehner, Premysl Parenica, Stanislav Seitl.

Copyright 
Authors are allowed to retain both the copyright and the publishing rights of their articles without restrictions.  

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