F. Hafid

发表

Shear driven crack arrest investigation under compressive state: Prediction of fretting fatigue failure of aluminium strands

S. Fouvry, G. Cailletaud, C. Yang, 2020, International Journal of Fatigue.

How statistical modeling and machine learning could help in the calibration of numerical simulation and fluid mechanics models? Application to the calibration of models reproducing the vibratory behavior of an overhead line conductor

M. Ammi, F. Hafid, Hamdi Amroun, 2022, Array.

Proof of concept: Calibration of an overhead line conductors’ movements simulation model using Ensemble-based machine learning model

M. Ammi, F. Hafid, Hamdi Amroun, 2021, IEEE Access.

Hybrid Modelling for Lifetime Prediction

Jean-Michel Ghidaglia, Mathilde Mougeot, Nicolas Vayatis, 2020 .

Identification of the critical microstructural parameters on the corrosion behaviour of commercially pure aluminium alloy

G. Odemer, C. Blanc, J. Said, 2022, Corrosion Science.

Fretting tests for cyclic plastic law identification: application to a 1XXX aluminium crossed wire contact

S. Fouvry, J. Said, F. Hafid, 2022, Tribology International.

VIV modelled using simplified cable dynamics coupled to sub-critical cylinder flow simulations in a moving reference frame

Lei Zhang, J. Ghidaglia, F. Hafid, 2021 .

Surrogate model based approach to predict fatigue stress field in multi-stranded cables

Jean-Michel Ghidaglia, Olivier Allix, Maxime Gueguin, 2021 .

A multi-scale strategy to predict fretting-fatigue endurance of overhead conductors

S. Fouvry, G. Cailletaud, C. Yang, 2020 .

A global-local approach to predict the fretting-fatigue failure of clamped aluminum powerline conductors: from mono-contact crossed wires to full conductor vibrational tests

S. Fouvry, S. Basseville, G. Cailletaud, 2023, Engineering Failure Analysis.