Cécile MATTRAND
- Institut Pascal (IP)
Publications
Publications
|
|
Plans d'expériences optimaux d'essais de ténacité26e Congrès Français de Mécanique, Laboratoire d'Etude des Microstructures et de Mécanique des Matériaux (LEM3 - UMR CNRS 7239), Aug 2025, Metz, France |
|
|
Krigeage adaptatif modèles numériques séquentiels pour l'étude de la fiabilité de systèmes sollicités en fatigue.26e Congrès Français de Mécanique, Laboratoire d'Etude des Microstructures et de Mécanique des Matériaux (LEM3 - UMR CNRS 7239), Aug 2025, Metz, France |
|
|
Remaining Useful Life Prediction of Turbofans with Virtual Health Indicator: A Comparison of Particle Filter-Based Approaches2023 7th International Conference on System Reliability and Safety (ICSRS 2023), Nov 2023, Bologne, Italy. pp.75-82, ⟨10.1109/ICSRS59833.2023.10381439⟩ |
Krigeage adaptatif de modèles numériques séquentiels pour l’étude de la fiabilité de systèmes sollicités en fatigue13ème Journées de Fiabilité des Matériaux et des Structures, Jun 2024, Rouen (Conservatoire), France |
|
|
|
Unsupervised Representation Learning for Smart Transportation22nd International Symposium on Intelligent Data Analysis (IDA 2024), Apr 2024, Stochholm, Sweden. pp.15-27, ⟨10.1007/978-3-031-58553-1_2⟩ |
Unsupervised Representation Learning in Multivariate Time Series with Simulated Data2023 Prognostics and Health Management Conference (PHM), May 2023, Paris, France. pp.217-225, ⟨10.1109/PHM58589.2023.00049⟩ |
|
|
|
Uncertainty quantification of the reference temperature $T_0$ of reactor pressure vessel steel with experimental and numerical computation of fracture toughness testsCFRAC 2023 - The Seventh International Conference on Computational Modeling of Fracture and Failure of Materials and Structures, Jun 2023, Prague, Czech Republic |
Health indicator learning for predictive maintenance based on a triplet loss and deep siamese networkThe 8th European Congress on Computational Methods in Applied Sciences and Engineering ECCOMAS Congress 2022, Jun 2022, Oslo, Norway |
|
|
|
Étude de l'influence de l'échantillonnage statistique et des incertitudes d'inférence probabiliste sur la variance d'un estimateur25ème Congrès Français de Mécanique Nantes, Aug 2022, Nantes, France |
|
|
Écoulements capillaires dans une microstructure fibreuse14ème Colloque National en Calcul de Structures (CSMA 2019), CSMA, LEM3, MSME, Université de Lorraine, Arts et Métiers, CNRS, May 2019, Hyères, France |
|
|
Application of Time Series Methods on Long-Term Structural Monitoring Data for Fatigue Analysis5th International Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures (SMAR 2019), Aug 2019, Potsdam, Germany |
Time-variant Reliability Analysis Based on AK-SYS13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP13, May 2019, Seoul, South Korea. ⟨10.22725/ICASP13.480⟩ |
|
|
|
Modeling natural fiber composites microstructures for predicting their water aging18th European Conference on Composites Materials, Jun 2018, Athènes, Greece |
|
|
Modélisation de la microstructure de composites UD à fibres naturelles pour l'étude de leur durabilitéEcoMat2017, Oct 2017, Alès, France |
La famille des méthodes AK pour l'analyse de la fiabilité : synthèse des récentes avancéesCongrès Français de Mécanique, Aug 2017, Lille, France |
|
The help of metamodels or wind turbine certificationICOSSAR 2017, Aug 2017, Vienne, Austria |
|
Approximation d’intégrales coûteuses par utilisation de métamodèles : Application à la certification en fatigue des structures éoliennesCongrès Français de Mécanique, Aug 2017, Lille, France |
|
|
|
A Review of Recent Features and Improvements Added to FERUM SoftwareICOSSAR 2009 : International Conference on Structural Safety and Reliability, Sep 2009, Osaka, Japan |
|
|
Learning Multivariate Time Series with Unsupervised Representation Methods using Simulated Datasets.., Apr 2023, Louvain-la-Neuve, Belgium. 2023 |
Adaptive kriging-based methods for failure probability evaluation: Focus on ak methodsMechanical engineering in uncertainties - From classical approaches to recent developments, 205 (1), 2021 |
|
|
Cost effective strategy using Kriging surrogates to compute fatigue at multiple locations of a structure: Application to offshore wind turbine certification12th International Fatigue Congress (FATIGUE 2018), MATEC Web of Conferences, 165, pp.17001, 2018, ⟨10.1051/matecconf/201816517001⟩ |
A Kriging-based method to deal with high dimensional reliability problemsPROCEEDINGS OF THE 19TH IFIP WG-7.5 CONFERENCE ON RELIABILITY AND OPTIMIZATION OF STRUCTURAL SYSTEMS, 2018 |
|
Damage Tolerance and Reliability Assessment under Random Markovian LoadsIUTAM Symposium on Multiscale Problems in Stochastic Mechanics 2012, Procedia IUTAM, 6, pp.123-131, 2013, ⟨10.1016/j.piutam.2013.01.014⟩ |
|
Modeling and simulation of stochastic fatigue load sequences derived from in-flight load data52nd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, American Institute of Aeronautics and Astronautics, 2011, ⟨10.2514/6.2011-2034⟩ |
|
Analysis of Fatigue Crack Growth under Random Load Sequences Derived from Military In-flight Load DataICAF 2011 Structural Integrity: Influence of Efficiency and Green Imperatives: Proceedings of the 26th Symposium of the International Committee on Aeronautical Fatigue, 2011 |
|
|
Approche probabiliste de la tolérance aux dommagesAutre. Université Blaise Pascal - Clermont-Ferrand II, 2011. Français. ⟨NNT : 2011CLF22180⟩ |