Literature DB >> 17166504

Physiologically based boundary conditions in finite element modelling.

Andrew D Speirs1, Markus O Heller, Georg N Duda, William R Taylor.   

Abstract

Finite element analysis has been used extensively in the study of bone loading and implant performance, such as in the femur. The boundary conditions applied vary widely, generally producing excessive femoral deformation, and although it has been shown that the muscle forces influence femoral deflections and loading, little consideration has been given to the displacement constraints. It is hypothesised that careful application of physiologically based constraints can produce physiological deformation, and therefore straining, of the femur. Joint contact forces and a complete set of muscle forces were calculated based on the geometry of the Standardised Femur using previously validated musculoskeletal models. Five boundary condition cases were applied to a finite element model of the Standardised Femur: (A) diaphyseally constrained with hip contact and abductor forces; (B) case A plus vasti forces; (C) case A with complete set of muscle forces; (D) distally constrained with all muscle forces; (E) physiological constraints with all muscle forces. It was seen that only the physiological boundary conditions, case E, produced physiological deflections (< 2.0mm) of the femoral head in both the coronal and sagittal planes, which resulted in minimal reaction forces at the constrained nodes. Strains in the mid-diaphysis varied by up to 600 micro-strain under walking loads and 1000 micro-strain under stair climbing loads. The mode of loading, as indicated by the strain profiles on the cortex also varied substantially under these boundary conditions, which has important consequences for studies that examine localised bone loading such as fracture or bone remodelling simulations.

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Year:  2006        PMID: 17166504     DOI: 10.1016/j.jbiomech.2006.10.038

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  31 in total

1.  Effects of idealized joint geometry on finite element predictions of cartilage contact stresses in the hip.

Authors:  Andrew E Anderson; Benjamin J Ellis; Steve A Maas; Jeffrey A Weiss
Journal:  J Biomech       Date:  2010-02-21       Impact factor: 2.712

2.  Numeric simulation of bone remodelling patterns after implantation of a cementless straight stem.

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Journal:  Int Orthop       Date:  2013-08-31       Impact factor: 3.075

3.  Single lag screw and reverse distal femur locking compression plate for concurrent cervicotrochanteric and shaft fractures of the femur: biomechanical study validated with a clinical series.

Authors:  Surasak Jitprapaikulsarn; Nattapon Chantarapanich; Arthit Gromprasit; Chantas Mahaisavariya; Chawanan Patamamongkonchai
Journal:  Eur J Orthop Surg Traumatol       Date:  2021-01-08

4.  [Steel or titanium for osteosynthesis : A mechanobiological perspective].

Authors:  M Heyland; G N Duda; S Märdian; M Schütz; M Windolf
Journal:  Unfallchirurg       Date:  2017-02       Impact factor: 1.000

5.  Anatomic variation in the elastic anisotropy of cortical bone tissue in the human femur.

Authors:  Alejandro A Espinoza Orías; Justin M Deuerling; Matthew D Landrigan; John E Renaud; Ryan K Roeder
Journal:  J Mech Behav Biomed Mater       Date:  2008-09-06

6.  Adaptive surrogate modeling for efficient coupling of musculoskeletal control and tissue deformation models.

Authors:  Jason P Halloran; Ahmet Erdemir; Antonie J van den Bogert
Journal:  J Biomech Eng       Date:  2009-01       Impact factor: 2.097

7.  Multiscale modeling in computational biomechanics.

Authors:  Merryn Tawhai; Jeff Bischoff; Daniel Einstein; Ahmet Erdemir; Trent Guess; Jeff Reinbolt
Journal:  IEEE Eng Med Biol Mag       Date:  2009 May-Jun

8.  Biomechanical performance of retrograde nail for supracondylar fractures stabilization.

Authors:  Nattapon Chantarapanich; Kriskrai Sitthiseripratip; Banchong Mahaisavariya; Pongwit Siribodhi
Journal:  Med Biol Eng Comput       Date:  2016-03-31       Impact factor: 2.602

9.  Effects of age-related differences in femoral loading and bone mineral density on strains in the proximal femur during controlled walking.

Authors:  Dennis E Anderson; Michael L Madigan
Journal:  J Appl Biomech       Date:  2012-11-21       Impact factor: 1.833

10.  Numerical investigations on the strain-adaptive bone remodelling in the periprosthetic femur: influence of the boundary conditions.

Authors:  Bernd-Arno Behrens; Ingo Nolte; Patrick Wefstaedt; Christina Stukenborg-Colsman; Anas Bouguecha
Journal:  Biomed Eng Online       Date:  2009-04-16       Impact factor: 2.819

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