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Dive into the research topics where Cécile Mattrand is active.

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Featured researches published by Cécile Mattrand.


Vehicle System Dynamics | 2016

Estimation of road profile variability from measured vehicle responses

W. Fauriat; Cécile Mattrand; Nicolas Gayton; A. Beakou; T. Cembrzynski

ABSTRACT When assessing the statistical variability of fatigue loads acting throughout the life of a vehicle, the question of the variability of road roughness naturally arises, as both quantities are strongly related. For car manufacturers, gathering information on the environment in which vehicles evolve is a long and costly but necessary process to adapt their products to durability requirements. In the present paper, a data processing algorithm is proposed in order to estimate the road profiles covered by a given vehicle, from the dynamic responses measured on this vehicle. The algorithm based on Kalman filtering theory aims at solving a so-called inverse problem, in a stochastic framework. It is validated using experimental data obtained from simulations and real measurements. The proposed method is subsequently applied to extract valuable statistical information on road roughness from an existing load characterisation campaign carried out by Renault within one of its markets.


VII European Congress on Computational Methods in Applied Sciences and Engineering | 2016

ON THE CONSIDERATION OF UNCERTAINTY IN DESIGN: OPTIMIZATION – RELIABILITY – ROBUSTNESS

Nicolas Lelièvre; Pierre Beaurepaire; Cécile Mattrand; Nicolas Gayton; Abdelkader Ostmane

Structural designs aspire to ensure the functionality of a system respecting specific requirements defined by engineers. Structural optimization techniques are widely used to optimize the system performances while garanteeing that specific requirements are fulfilled. However, it is worth remembering that uncertainties might affect all design quantities which can make the design problem much more arduous to solve. This paper aims to discuss the formulation of design problems under uncertainty. Several strategies might be identified when considering uncertainties in the objective and/or constraint functions. Moreover, this paper aspires to clarify the notions of robustness and reliability. After a presentation of each formulation, an academic example illustrates the different strategies and shows the main differences between results of each one. Thus, the choice of the formulation should be viewed as a crucial step of design procedure. N. Lelièvre, P. Beaurepaire, C. Mattrand, N. Gayton and A. Otsmane


Procedia IUTAM | 2013

Damage Tolerance and Reliability Assessment under Random Markovian Loads

Jean-Marc Bourinet; Cécile Mattrand


Structural and Multidisciplinary Optimization | 2016

On the consideration of uncertainty in design: optimization - reliability - robustness

Nicolas Lelièvre; Pierre Beaurepaire; Cécile Mattrand; Nicolas Gayton; Abdelkader Otsmane


Procedia Engineering | 2015

An Application of Stochastic Simulation to the Study of the Variability of Road Induced Fatigue Loads

W. Fauriat; Cécile Mattrand; Nicolas Gayton; A. Beakou


52nd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference | 2011

Modeling and simulation of stochastic fatigue load sequences derived from in-flight load data

Cécile Mattrand; Jean-Marc Bourinet; Maurice Lemaire; Pierre Bernard; Michel Fogli


Structural Safety | 2018

AK-MCSi: A Kriging-based method to deal with small failure probabilities and time-consuming models

Nicolas Lelièvre; Pierre Beaurepaire; Cécile Mattrand; Nicolas Gayton


MATEC Web of Conferences | 2018

Cost effective strategy using Kriging surrogates to compute fatigue at multiple locations of a structure: Application to offshore wind turbine certification

Quentin Huchet; Cécile Mattrand; Pierre Beaurepaire; Nicolas Relun; Nicolas Gayton


ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering | 2018

Tolerance Analysis of a Deformable Component Using the Probabilistic Approach and Kriging-Based Surrogate Models

Pierre Beaurepaire; Cécile Mattrand; Nicolas Gayton; Jean-Yves Dantan


ICOSSAR 2017 | 2017

The help of metamodels or wind turbine certification

Quentin Huchet; Cécile Mattrand; Pierre Beaurepaire; Nicolas Gayton; Nicolas Relun

Collaboration


Dive into the Cécile Mattrand's collaboration.

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Nicolas Gayton

Centre national de la recherche scientifique

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Pierre Beaurepaire

Centre national de la recherche scientifique

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Nicolas Lelièvre

Centre national de la recherche scientifique

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A. Beakou

Centre national de la recherche scientifique

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Jean-Marc Bourinet

Centre national de la recherche scientifique

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Jean-Yves Dantan

Arts et Métiers ParisTech

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Michel Fogli

Blaise Pascal University

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