Screw pull-out force predictions in porcine radii using efficient nonlinear µFE models including contact and pre-damage
Nonlinear micro finite element (µFE) models have become the gold-standard for accurate numerical modeling of bone-screw systems. However, the detailed representation of bone microstructure, along with the inclusion of nonlinear material and contact, and pre-damage due to pre-drilling and screw-inser...
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Frontiers Media S.A.
2025-03-01
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| Series: | Frontiers in Bioengineering and Biotechnology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fbioe.2025.1524235/full |
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| author | Pia Stefanek J. D. Silva-Henao J. D. Silva-Henao Victoria Fiedler A. G. Reisinger A. G. Reisinger Dieter H. Pahr Alexander Synek |
| author_facet | Pia Stefanek J. D. Silva-Henao J. D. Silva-Henao Victoria Fiedler A. G. Reisinger A. G. Reisinger Dieter H. Pahr Alexander Synek |
| author_sort | Pia Stefanek |
| collection | DOAJ |
| description | Nonlinear micro finite element (µFE) models have become the gold-standard for accurate numerical modeling of bone-screw systems. However, the detailed representation of bone microstructure, along with the inclusion of nonlinear material and contact, and pre-damage due to pre-drilling and screw-insertion, constitute significant computational demands and restrict model sizes. The goal of this study was to evaluate the agreement of screw pull-out predictions of computationally efficient, materially nonlinear µFE models with experimental measurements, taking both contact interface and pre-damage into account in a simplified way. Screw pull-out force was experimentally measured in ten porcine radius biopsies, and specimen-specific, voxel-based µFE models were created mimicking the experimental setup. µFE models with three levels of modeling details were compared: Fully bonded interface without pre-damage (FB), simplified contact interface without pre-damage (TED-M), and simplified contact interface with pre-damage (TED-M + P). In the TED-M + P models, the influence of pre-damage parameters (damage zone radial thickness and amount of damage) was assessed and optimal parameters were identified. The results revealed that pre-damage parameters highly impact the pull-out force predictions, and that the optimal parameters are ambiguous and dependent on the chosen bone material properties. Although all µFE models demonstrated high correlations with experimental data (R2 > 0.85), they differed in their 1:1 correspondence. The FB and TED-M models overestimated maximum force predictions (mean absolute percentage error (MAPE) > 52%), while the TED-M + P model with optimized pre-damage parameters improved the predictions (MAPE <17%). In conclusion, screw pull-out forces predicted with computationally efficient, materially nonlinear µFE models showed strong correlations with experimental measurements. To achieve quantitatively accurate results, precise coordination of contact modeling, pre-damage representation, and material properties is essential. |
| format | Article |
| id | doaj-art-ed9a2e1af46943efa9ae7e098d7e96d2 |
| institution | Kabale University |
| issn | 2296-4185 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Bioengineering and Biotechnology |
| spelling | doaj-art-ed9a2e1af46943efa9ae7e098d7e96d22025-08-20T03:40:00ZengFrontiers Media S.A.Frontiers in Bioengineering and Biotechnology2296-41852025-03-011310.3389/fbioe.2025.15242351524235Screw pull-out force predictions in porcine radii using efficient nonlinear µFE models including contact and pre-damagePia Stefanek0J. D. Silva-Henao1J. D. Silva-Henao2Victoria Fiedler3A. G. Reisinger4A. G. Reisinger5Dieter H. Pahr6Alexander Synek7Institute of Lightweight Design and Structural Biomechanics, TU Wien, Vienna, AustriaInstitute of Lightweight Design and Structural Biomechanics, TU Wien, Vienna, AustriaDivision Biomechanics, Karl Landsteiner University of Health Sciences, Krems, AustriaDivision Biomechanics, Karl Landsteiner University of Health Sciences, Krems, AustriaInstitute of Lightweight Design and Structural Biomechanics, TU Wien, Vienna, AustriaDivision Biomechanics, Karl Landsteiner University of Health Sciences, Krems, AustriaInstitute of Lightweight Design and Structural Biomechanics, TU Wien, Vienna, AustriaInstitute of Lightweight Design and Structural Biomechanics, TU Wien, Vienna, AustriaNonlinear micro finite element (µFE) models have become the gold-standard for accurate numerical modeling of bone-screw systems. However, the detailed representation of bone microstructure, along with the inclusion of nonlinear material and contact, and pre-damage due to pre-drilling and screw-insertion, constitute significant computational demands and restrict model sizes. The goal of this study was to evaluate the agreement of screw pull-out predictions of computationally efficient, materially nonlinear µFE models with experimental measurements, taking both contact interface and pre-damage into account in a simplified way. Screw pull-out force was experimentally measured in ten porcine radius biopsies, and specimen-specific, voxel-based µFE models were created mimicking the experimental setup. µFE models with three levels of modeling details were compared: Fully bonded interface without pre-damage (FB), simplified contact interface without pre-damage (TED-M), and simplified contact interface with pre-damage (TED-M + P). In the TED-M + P models, the influence of pre-damage parameters (damage zone radial thickness and amount of damage) was assessed and optimal parameters were identified. The results revealed that pre-damage parameters highly impact the pull-out force predictions, and that the optimal parameters are ambiguous and dependent on the chosen bone material properties. Although all µFE models demonstrated high correlations with experimental data (R2 > 0.85), they differed in their 1:1 correspondence. The FB and TED-M models overestimated maximum force predictions (mean absolute percentage error (MAPE) > 52%), while the TED-M + P model with optimized pre-damage parameters improved the predictions (MAPE <17%). In conclusion, screw pull-out forces predicted with computationally efficient, materially nonlinear µFE models showed strong correlations with experimental measurements. To achieve quantitatively accurate results, precise coordination of contact modeling, pre-damage representation, and material properties is essential.https://www.frontiersin.org/articles/10.3389/fbioe.2025.1524235/fullmicro finite element modelingbone-screw systemsbone-screw contactpredamage due to screw insertionefficient materially-nonlinear simulations |
| spellingShingle | Pia Stefanek J. D. Silva-Henao J. D. Silva-Henao Victoria Fiedler A. G. Reisinger A. G. Reisinger Dieter H. Pahr Alexander Synek Screw pull-out force predictions in porcine radii using efficient nonlinear µFE models including contact and pre-damage Frontiers in Bioengineering and Biotechnology micro finite element modeling bone-screw systems bone-screw contact predamage due to screw insertion efficient materially-nonlinear simulations |
| title | Screw pull-out force predictions in porcine radii using efficient nonlinear µFE models including contact and pre-damage |
| title_full | Screw pull-out force predictions in porcine radii using efficient nonlinear µFE models including contact and pre-damage |
| title_fullStr | Screw pull-out force predictions in porcine radii using efficient nonlinear µFE models including contact and pre-damage |
| title_full_unstemmed | Screw pull-out force predictions in porcine radii using efficient nonlinear µFE models including contact and pre-damage |
| title_short | Screw pull-out force predictions in porcine radii using efficient nonlinear µFE models including contact and pre-damage |
| title_sort | screw pull out force predictions in porcine radii using efficient nonlinear µfe models including contact and pre damage |
| topic | micro finite element modeling bone-screw systems bone-screw contact predamage due to screw insertion efficient materially-nonlinear simulations |
| url | https://www.frontiersin.org/articles/10.3389/fbioe.2025.1524235/full |
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