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Multi-scale methods for fracture: model learning across scales, digital twinning and factors of safety
: primer on Bayesian Inference
Bordas, Stéphane; Hale, Jack; Beex, Lars et al.
2015
 

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Keywords :
multi-scale; model reduction; fracture; digital twin; lack of scale separation; bayesian inference; model selection; model error; discretisation error
Abstract :
[en] Fracture and material instabilities originate at spatial scales much smaller than that of the structure of interest: delamination, debonding, fibre break- age, cell-wall buckling, are examples of nano/micro or meso-scale mechanisms which can lead to global failure of the material and structure. Such mech- anisms cannot, for computational and practical reasons, be accounted at structural scale, so that acceleration methods are necessary. We review in this presentation recently proposed approaches to reduce the computational expense associated with multi-scale modelling of frac- ture. In light of two particular examples, we show connections between algebraic reduction (model order reduction and quasi-continuum methods) and homogenisation-based reduction. We open the discussion towards suitable approaches for machine-learning and Bayesian statistical based multi-scale model selection. Such approaches could fuel a digital-twin concept enabling models to learn from real-time data acquired during the life of the structure, accounting for “real” environmental conditions during predictions, and, eventually, moving beyond the era of factors of safety.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Bordas, Stéphane ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Hale, Jack  ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Beex, Lars ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Rappel, Hussein ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Kerfriden, Pierre
Goury, Olivier
Akbari, Ahmad
Language :
English
Title :
Multi-scale methods for fracture: model learning across scales, digital twinning and factors of safety
: primer on Bayesian Inference
Publication date :
18 November 2015
Event name :
EMPA High-performance Multiscale-Scale Day
Event organizer :
EMPA, ETHZ, Switzerland
Event place :
Dübendorf, Switzerland
Event date :
2015, November, 18
Audience :
International
Focus Area :
Computational Sciences
European Projects :
FP7 - 279578 - REALTCUT - Towards real time multiscale simulation of cutting in non-linear materials with applications to surgical simulation and computer guided surgery
Funders :
CE - Commission Européenne [BE]
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since 16 November 2016

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