Validity Domains of Beams Behavioural Models: Efficiency and Reduction with Artificial Neural Networks
| dc.rights.license | open | en_US |
| hal.structure.identifier | ESTIA - Institute of technology [ESTIA] | |
| dc.contributor.author | ORDAZ HERNANDEZ, Keny | |
| hal.structure.identifier | ESTIA - Institute of technology [ESTIA] | |
| dc.contributor.author | FISCHER, Xavier | |
| dc.contributor.author | BENNIS, Fouad | |
| dc.date.accessioned | 2023-09-18T08:03:34Z | |
| dc.date.available | 2023-09-18T08:03:34Z | |
| dc.date.issued | 2007 | |
| dc.identifier.issn | 1304-4508 | en_US |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/183692 | |
| dc.description.abstractEn | In a particular case of behavioural model reduction by ANNs, a validity domain shortening has been found. In mechanics, as in other domains, the notion of validity domain allows the engineer to choose a valid model for a particular analysis or simulation. In the study of mechanical behaviour for a cantilever beam (using linear and non-linear models), Multi-Layer Perceptron (MLP) Backpropagation (BP) networks have been applied as model reduction technique. This reduced model is constructed to be more efficient than the non-reduced model. Within a less extended domain, the ANN reduced model estimates correctly the non-linear response, with a lower computational cost. It has been found that the neural network model is not able to approximate the linear behaviour while it does approximate the non-linear behaviour very well. The details of the case are provided with an example of the cantilever beam behaviour modelling. | |
| dc.language.iso | EN | en_US |
| dc.subject.en | artificial neural network | |
| dc.subject.en | validity domain | |
| dc.subject.en | cantilever beam | |
| dc.subject.en | non-linear behaviour | |
| dc.subject.en | model reduction | |
| dc.title.en | Validity Domains of Beams Behavioural Models: Efficiency and Reduction with Artificial Neural Networks | |
| dc.type | Article de revue | en_US |
| dc.subject.hal | Physique [physics]/Mécanique [physics]/Mécanique des structures [physics.class-ph] | en_US |
| dc.subject.hal | Sciences de l'ingénieur [physics]/Mécanique [physics.med-ph]/Mécanique des structures [physics.class-ph] | en_US |
| dc.subject.hal | Informatique [cs]/Intelligence artificielle [cs.AI] | en_US |
| dc.subject.hal | Informatique [cs]/Modélisation et simulation | en_US |
| bordeaux.journal | International Journal of Computational Intelligence | en_US |
| bordeaux.page | 80--87 | en_US |
| bordeaux.volume | 4 | en_US |
| bordeaux.hal.laboratories | ESTIA - Recherche | en_US |
| bordeaux.issue | 1 | en_US |
| bordeaux.institution | Université de Bordeaux | en_US |
| bordeaux.institution | Bordeaux INP | en_US |
| bordeaux.institution | Bordeaux Sciences Agro | en_US |
| bordeaux.peerReviewed | oui | en_US |
| bordeaux.inpress | non | en_US |
| bordeaux.import.source | hal | |
| hal.identifier | hal-00173989 | |
| hal.version | 1 | |
| hal.popular | non | en_US |
| hal.audience | Internationale | en_US |
| hal.export | false | |
| workflow.import.source | hal | |
| dc.rights.cc | Pas de Licence CC | en_US |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=International%20Journal%20of%20Computational%20Intelligence&rft.date=2007&rft.volume=4&rft.issue=1&rft.spage=80--87&rft.epage=80--87&rft.eissn=1304-4508&rft.issn=1304-4508&rft.au=ORDAZ%20HERNANDEZ,%20Keny&FISCHER,%20Xavier&BENNIS,%20Fouad&rft.genre=article |
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