Despite the established success of total knee arthroplasty (TKA), wear of the polyethylene tibial insert remains a major limitation to the longevity of the implant. The present research aims at discussing and improving a method for a patient specific contact mechanics and wear prediction based on the combination of two modeling techniques: the musculoskeletal (MSK) and the finite element (FE) analyses. This combined modeling approach is a new and promising strategy in the field of computational biomechanics; however, its application to wear problems is still rare in the literature and some critical aspects remain unsolved. A FE submodeling procedure is proposed to reduce the computational cost of the wear simulations. It is first introduced and validated using simple 2D single point and 3D multipoint contact and wear problems FE wear models have been developed in Ansys® mechanical APDL using its new wear simulation and mesh smoothing routines. The analyses of the MSK system were performed using the software OpenSim and Matlab®. As case study, a specific patient implanted with instrumented knee prosthesis was considered whose experimental data is available in the literature. The effect of different MSK models definition on the kinematic and dynamic output that can be used as input condition to a TKA FE model is discussed. Finally, the effect of different boundary conditions on the contact mechanics and wear estimations is investigated using 3D FE wear models of the TKA. Results suggest that the proposed wear submodeling approach can significantly reduce the computational cost of TKA FE wear models. Some interesting points on the effect of the MSK modeling choice on the contact pressure and wear estimations are also highlighted.

Combining musculoskeletal and FE models to predict contact mechanics and wear in total knee arthroplasty

2019

Abstract

Despite the established success of total knee arthroplasty (TKA), wear of the polyethylene tibial insert remains a major limitation to the longevity of the implant. The present research aims at discussing and improving a method for a patient specific contact mechanics and wear prediction based on the combination of two modeling techniques: the musculoskeletal (MSK) and the finite element (FE) analyses. This combined modeling approach is a new and promising strategy in the field of computational biomechanics; however, its application to wear problems is still rare in the literature and some critical aspects remain unsolved. A FE submodeling procedure is proposed to reduce the computational cost of the wear simulations. It is first introduced and validated using simple 2D single point and 3D multipoint contact and wear problems FE wear models have been developed in Ansys® mechanical APDL using its new wear simulation and mesh smoothing routines. The analyses of the MSK system were performed using the software OpenSim and Matlab®. As case study, a specific patient implanted with instrumented knee prosthesis was considered whose experimental data is available in the literature. The effect of different MSK models definition on the kinematic and dynamic output that can be used as input condition to a TKA FE model is discussed. Finally, the effect of different boundary conditions on the contact mechanics and wear estimations is investigated using 3D FE wear models of the TKA. Results suggest that the proposed wear submodeling approach can significantly reduce the computational cost of TKA FE wear models. Some interesting points on the effect of the MSK modeling choice on the contact pressure and wear estimations are also highlighted.
22-ott-2019
Italiano
Di Puccio, Francesca
Università degli Studi di Pisa
File in questo prodotto:
File Dimensione Formato  
PhD_Thesis_CurreliCristina.pdf

Open Access dal 30/10/2022

Tipologia: Altro materiale allegato
Dimensione 2.87 MB
Formato Adobe PDF
2.87 MB Adobe PDF Visualizza/Apri
Relazione_AttivitSvolte_CurreliCristina.pdf

Open Access dal 30/10/2022

Tipologia: Altro materiale allegato
Dimensione 111.16 kB
Formato Adobe PDF
111.16 kB Adobe PDF Visualizza/Apri

I documenti in UNITESI sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14242/132394
Il codice NBN di questa tesi è URN:NBN:IT:UNIPI-132394