PSI - Issue 39

ScienceDirect Structural Integrity Procedia 00 (2019) 000–000 Structural Integrity Procedia 00 (2019) 000–000 Available online at www.sciencedirect.com Available online at www.sciencedirect.com ScienceD rect Available online at www.sciencedirect.com ScienceDirect

www.elsevier.com/locate/procedia www.elsevier.com/locate/procedia

Procedia Structural Integrity 39 (2022) 256–265

© 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of CP 2021 – Guest Editors Abstract The probability of failure of a pipeline component subjected to constant amplitude pressurized cycles and multiple random overloads is estimated using the Monte Carlo statistical simulation. The magnitudes of overloads are assumed to be independent random variables equally distributed according to the normal distribution law. The initial size of the crack and the parameters of the kinetic equation describing the cyclic crack growth are considered as random quantities distributed according to uniform distribution laws © 2021 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) 7th International Conference on Crack Paths Estimation of the probability of fracture of pipeline components subjected to constant amplitude loading and random overloads Dmitry O.Reznikov a * a Mechanical Engineering Research Institute, 4 Maly Kharitonievsky lane, Moscow, 101990, Russia Abstract The probability of failure of a pipeline component subjected to constant amplitude pressurized cycles and multiple random ov rloads is estimated sing the Monte Carlo statistical simulation. The magnitudes of ov rloads are assume to be indepe ent random variables equally dis ributed according to the nor al distribution l w. Th initial size of the crack an the parameters of the kinetic equation describing th cyclic crack growth are cons dered as random qu ntiti s distributed ccording to uniform distribution laws © 2021 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of CP 2021 – Guest Editors Keywords: Cyclic strength, crack, fracture probability, overload 1. Introduction When assessing the cyclic strength of structural components of pipeline systems under real service conditions, one has to face a high lev l of uncertainty due to: (1) the st chastic nature of the operational loading processes and th po sibility of design-basis a d beyond esign-basis overload ; (2) the scatter of the initi dime sions of the defects, (3) the variability of the b sic mechanical properties of structural materials and the p ramet r that de ermine the 7th International Conference on Crack Paths Estimation of the probability of fracture of pipeline components subjected to constant amplitude loading and random overloads Dmitry O.Reznikov a * a Mechanical Engineering Research Institute, 4 Maly Kharitonievsky lane, Moscow, 101990, Russia Peer-review under responsibility of CP 2021 – Guest Editors Keywords: Cyclic strength, crack, fracture probability, overload 1. Introduction When assessing the cyclic strength of structural components of pipeline systems under real service conditions, one has to face a high level of uncertainty due to: (1) the stochastic nature of the operational loading processes and the possibility of design-basis and beyond design-basis overloads; (2) the scatter of the initial dimensions of the defects, (3) the variability of the basic mechanical properties of structural materials and the parameters that determine the

* Corresponding author. Tel.: +7 495–623–58 –35; fax: +7–495–623–58–35. E-mail address: imashreznikoff@yandex.ru * Corresponding author. Tel.: +7 495–623–58 –35; fax: +7–495–623–58–35. E-mail address: imashreznikoff@yandex.ru

2452-3216 © 2021 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of CP 2021 – Guest Editors 2452-3216 © 2021 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of CP 2021 – Guest Editors

2452-3216 © 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of CP 2021 – Guest Editors 10.1016/j.prostr.2022.03.095