Computational fatigue assessment of mooring chains under tension loading

Autor: Yan-Hui Zhang, Vengatesan Venugopal, Imanol Martinez Perez, Philippe Bastid, Andrei Constantinescu
Přispěvatelé: Laboratoire de mécanique des solides (LMS), École polytechnique (X)-MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)
Rok vydání: 2019
Předmět:
Zdroj: Engineering Failure Analysis
Engineering Failure Analysis, Elsevier, 2019, 106, ⟨10.1016/j.engfailanal.2019.06.073⟩
ISSN: 1350-6307
DOI: 10.1016/j.engfailanal.2019.06.073
Popis: International audience; This paper presents a computational fatigue assessment method of mooring chains under tensile loading, it is composed of a mechanical analysis followed by a fatigue analysis. The mechanical analysis is performed in two steps: residual stress prediction and service loading. From this analysis, the shakedown cycle is extracted at the critical points, ie: the asymptotically stabilized stress-strain cycles. As the mooring chain under service loading is under elastic shakedown, the Dang Van fatigue criterion is applied for the fatigue analysis. The accuracy of the proposed fatigue assessment method is proved by comparing with the experimental results from full-scale fatigue testing of mooring chain in seawater. The numerical results match both the experimental observations with respect to the localization of the damage zone and the lifetime.
Databáze: OpenAIRE