Fundaments of Recovery-Based Error Estimation and Bounding

Nadal, E.; Ródenas, Juan José

doi:10.1007/978-3-319-20553-3_3

Cited by 1 publication

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References 28 publications

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“…Afterwards, this is firstly refined on the basis of geometrical criteria without the necessity to solve the FE problem, and, finally, in an iterative process following an a posteriori Zienkiewicz and Zhu error estimator, [35] and [36] based on the use of a recovered stress field obtained by an enhanced version of the superconvergent patch recovery (SPR) technique, [37] and [38].…”

Section: Image-based Cgfemmentioning

confidence: 99%

Direct creation of patient-specific Finite Element models from medical images and preoperative prosthetic implant simulation using h-adaptive Cartesian grids.

Giovannelli¹

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In silico medicine is believed to be one of the most disruptive changes in the near future. A great effort has been carried out during the last decade to develop predicting computational models to increase the diagnostic capabilities of medical doctors and the effectiveness of therapies. One of the key points of this revolution, will be personalisation, which means in most of the cases creating patient specific computational models, also called digital twins. This practice is currently widespread in research and there are quite a few software products in the market to obtain models from images. Nevertheless, in order to be usable in the clinical practice, these methods have to drastically reduce the time and human intervention required for the creation of the numerical models. First of all, I would like to thank my supervisors Prof. Juan José Ródenas and Dr. Manuel Tur for their exceptional support, trust and comprehension during these years. They actually offered me more dedication and guidance than I would have ever expected to receive. My special thanks go to Prof. Stéphane Bordas and Dr. Pierre Kerfriden for letting me be part of the Advanced Materials and Computational Mechanics research group and to the wonderful people I had the pleasure to meet during my stay at Cardiff University. I am also extremely grateful to Prof. Waldir Roque and Prof. Jessica Zhang for their hospitality and the insightful time dedicated. I would also like to extend my gratitude to all the members of the Departamento de Ingeniería Mechánica y Materiales at the Universitat Politècnica de València who never hesitated to offer me their experience, knowledge and help. In particular I would like to thank Prof.

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Section: Image-based Cgfemmentioning

confidence: 99%

Direct creation of patient-specific Finite Element models from medical images and preoperative prosthetic implant simulation using h-adaptive Cartesian grids.

Giovannelli¹

View full text Add to dashboard Cite

show abstract

Fundaments of Recovery-Based Error Estimation and Bounding

Cited by 1 publication

References 28 publications

Direct creation of patient-specific Finite Element models from medical images and preoperative prosthetic implant simulation using h-adaptive Cartesian grids.

Direct creation of patient-specific Finite Element models from medical images and preoperative prosthetic implant simulation using h-adaptive Cartesian grids.

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