Literature DB >> 18534712

Real-time deformable models of non-linear tissues by model reduction techniques.

S Niroomandi1, I Alfaro, E Cueto, F Chinesta.   

Abstract

In this paper we introduce a new technique for the real-time simulation of non-linear tissue behavior based on a model reduction technique known as proper orthogonal (POD) or Karhunen-Loève decompositions. The technique is based upon the construction of a complete model (using finite element modelling or other numerical technique, for instance, but possibly from experimental data) and the extraction and storage of the relevant information in order to construct a model with very few degrees of freedom, but that takes into account the highly non-linear response of most living tissues. We present its application to the simulation of palpation a human cornea and study the limitations and future needs of the proposed technique.

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Year:  2008        PMID: 18534712     DOI: 10.1016/j.cmpb.2008.04.008

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  3 in total

1.  A partitioned model order reduction approach to rationalise computational expenses in nonlinear fracture mechanics.

Authors:  P Kerfriden; O Goury; T Rabczuk; S P A Bordas
Journal:  Comput Methods Appl Mech Eng       Date:  2013-04-01       Impact factor: 6.756

Review 2.  Analysis of Uncertainty and Variability in Finite Element Computational Models for Biomedical Engineering: Characterization and Propagation.

Authors:  Nerea Mangado; Gemma Piella; Jérôme Noailly; Jordi Pons-Prats; Miguel Ángel González Ballester
Journal:  Front Bioeng Biotechnol       Date:  2016-11-07

3.  Bridging Proper Orthogonal Decomposition methods and augmented Newton-Krylov algorithms: an adaptive model order reduction for highly nonlinear mechanical problems.

Authors:  P Kerfriden; P Gosselet; S Adhikari; S Bordas
Journal:  Comput Methods Appl Mech Eng       Date:  2011-01-15       Impact factor: 6.756

  3 in total

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