HapticV1, Hal, Corpus, bibRecord, 000436

Real Time Simulation of Biological Soft Tissues : A PGD Approach

Identifieur interne : 000436 ( Hal/Corpus ); précédent : 000435; suivant : 000437

Real Time Simulation of Biological Soft Tissues : A PGD Approach

Auteurs : S. Niroomandi ; D. Gonzalez ; I. Alfaro ; Felipe Bordeu Weldt ; Adrien Leygue ; E. Cueto ; Francisco Chinesta

Source :

RBID : Hal:hal-01007231

Abstract

We introduce here a novel approach for the numerical simulation of nonlinear, hyperelastic soft tissues at kilohertz feedback rates necessary for haptic rendering. This approach is based upon the use of proper generalized decomposition techniques, a generalization of PODs. Proper generalized decomposition techniques can be considered as a means of a priori model order reduction and provides a physics-based meta-model without the need for prior computer experiments. The suggested strategy is thus composed of an offline phase, in which a general meta-model is computed, and an online evaluation phase in which the results are obtained at real time. Results are provided that show the potential of the proposed technique, together with some benchmark test that shows the accuracy of the method.

Url:

https://hal.archives-ouvertes.fr/hal-01007231

DOI: 10.1002/cnm.2544

Links to Exploration step

Hal:hal-01007231

Le document en format XML

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<front><div type="abstract" xml:lang="en">We introduce here a novel approach for the numerical simulation of nonlinear, hyperelastic soft tissues at kilohertz feedback rates necessary for haptic rendering. This approach is based upon the use of proper generalized decomposition techniques, a generalization of PODs. Proper generalized decomposition techniques can be considered as a means of a priori model order reduction and provides a physics-based meta-model without the need for prior computer experiments. The suggested strategy is thus composed of an offline phase, in which a general meta-model is computed, and an online evaluation phase in which the results are obtained at real time. Results are provided that show the potential of the proposed technique, together with some benchmark test that shows the accuracy of the method.</div>
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<author role="aut"><persName><forename type="first">Felipe</forename>
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<author role="aut"><persName><forename type="first">E.</forename>
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<author role="aut"><persName><forename type="first">Francisco</forename>
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<editor role="depositor"><persName><forename>Gilles</forename>
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<date type="whenModified">2015-02-11 11:09:38</date>
<date type="whenReleased">2014-06-18 10:23:24</date>
<date type="whenProduced">2013</date>
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<idno type="halRefHtml">International Journal for Numerical Methods in Biomedical Engineering, John Wiley and Sons, 2013, 29 (5), pp.586-600. <10.1002/cnm.2544></idno>
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<idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno>
<idno type="stamp" n="UNIV-NANTES">Université de Nantes</idno>
<idno type="stamp" n="EC-NANTES">Ecole Centrale de Nantes</idno>
<idno type="stamp" n="ALLINSP">Tout INSP</idno>
<idno type="stamp" n="UPMC">Université Pierre et Marie Curie</idno>
<idno type="stamp" n="UNAM">l'unam - université nantes angers le mans</idno>
<idno type="stamp" n="ENS-PARIS">Ecole Normale Supérieure de Paris</idno>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">Real Time Simulation of Biological Soft Tissues : A PGD Approach</title>
<author role="aut"><persName><forename type="first">S.</forename>
<surname>Niroomandi</surname>
</persName>
<idno type="halAuthorId">312245</idno>
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</author>
<author role="aut"><persName><forename type="first">D.</forename>
<surname>Gonzalez</surname>
</persName>
<idno type="halAuthorId">21960</idno>
</author>
<author role="aut"><persName><forename type="first">I.</forename>
<surname>Alfaro</surname>
</persName>
<idno type="halAuthorId">86347</idno>
</author>
<author role="aut"><persName><forename type="first">Felipe</forename>
<surname>Bordeu Weldt</surname>
</persName>
<idno type="halAuthorId">1039239</idno>
<affiliation ref="#struct-390159"></affiliation>
</author>
<author role="aut"><persName><forename type="first">Adrien</forename>
<surname>Leygue</surname>
</persName>
<idno type="halAuthorId">607402</idno>
<affiliation ref="#struct-10921"></affiliation>
</author>
<author role="aut"><persName><forename type="first">E.</forename>
<surname>Cueto</surname>
</persName>
<idno type="halAuthorId">83348</idno>
</author>
<author role="aut"><persName><forename type="first">Francisco</forename>
<surname>Chinesta</surname>
</persName>
<idno type="halAuthorId">607398</idno>
<affiliation ref="#struct-390159"></affiliation>
</author>
</analytic>
<monogr><idno type="halJournalId" status="INCOMING">62211</idno>
<title level="j">International Journal for Numerical Methods in Biomedical Engineering</title>
<imprint><publisher>John Wiley and Sons</publisher>
<biblScope unit="volume">29</biblScope>
<biblScope unit="issue">5</biblScope>
<biblScope unit="pp">586-600</biblScope>
<date type="datePub">2013</date>
</imprint>
</monogr>
<idno type="doi">10.1002/cnm.2544</idno>
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<profileDesc><langUsage><language ident="en">English</language>
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<textClass><classCode scheme="halDomain" n="spi.meca">Engineering Sciences [physics]/Mechanics [physics.med-ph]</classCode>
<classCode scheme="halDomain" n="spi.mat">Engineering Sciences [physics]/Materials</classCode>
<classCode scheme="halTypology" n="ART">Journal articles</classCode>
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<abstract xml:lang="en">We introduce here a novel approach for the numerical simulation of nonlinear, hyperelastic soft tissues at kilohertz feedback rates necessary for haptic rendering. This approach is based upon the use of proper generalized decomposition techniques, a generalization of PODs. Proper generalized decomposition techniques can be considered as a means of a priori model order reduction and provides a physics-based meta-model without the need for prior computer experiments. The suggested strategy is thus composed of an offline phase, in which a general meta-model is computed, and an online evaluation phase in which the results are obtained at real time. Results are provided that show the potential of the proposed technique, together with some benchmark test that shows the accuracy of the method.</abstract>
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Real Time Simulation of Biological Soft Tissues : A PGD Approach

Real Time Simulation of Biological Soft Tissues : A PGD Approach

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