Hyperelastic compressive mechanical properties of the subcalcaneal soft tissue: An inverse finite element analysis
Finite element (FE) foot models can provide insight into soft tissue internal stresses and allow researchers to effectively conduct parametric analyses. Accurate plantar soft tissue material properties are essential for the development of FE foot models for clinical interventions. The aim of this st...
Ausführliche Beschreibung
Autor*in: |
Isvilanonda, Vara [verfasserIn] |
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Englisch |
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2016transfer abstract |
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6 |
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Übergeordnetes Werk: |
Enthalten in: Measuring students' school context exposures: A trajectory-based approach - Halpern-Manners, Andrew ELSEVIER, 2016, affiliated with the American Society of Biomechanics, the European Society of Biomechanics, the International Society of Biomechanics, the Japanese Society for Clinical Biomechanics and Related Research and the Australian and New Zealand Society of Biomechanics, Amsterdam [u.a.] |
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Übergeordnetes Werk: |
volume:49 ; year:2016 ; number:7 ; day:3 ; month:05 ; pages:1186-1191 ; extent:6 |
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DOI / URN: |
10.1016/j.jbiomech.2016.03.003 |
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Katalog-ID: |
ELV014639564 |
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245 | 1 | 0 | |a Hyperelastic compressive mechanical properties of the subcalcaneal soft tissue: An inverse finite element analysis |
264 | 1 | |c 2016transfer abstract | |
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520 | |a Finite element (FE) foot models can provide insight into soft tissue internal stresses and allow researchers to effectively conduct parametric analyses. Accurate plantar soft tissue material properties are essential for the development of FE foot models for clinical interventions. The aim of this study was to identify the first-order and second-order Ogden hyperelastic material properties of the subcalcaneal fat using an inverse FE analysis. The cylindrical soft tissue FE model was developed based on a priori in vitro dynamic compression experiment. The model simulated a 1Hz triangle wave displacement to apply a compressive strain up to 48%. The hyperelastic properties were identified by systematically varying the material parameters to minimize the difference between the model predicted force and the target experimental data. Optimal material properties were obtained (μ 1=0.0235kPa and α 1=12.07 for the first-order Ogden model and μ 1=−4.629×10−6 kPa, α 1=−16.829; μ 2=−1.613kPa and α 2=−1.043 for the second-order Ogden model). The second-order Ogden model was superior in capturing the highly nonlinear force–deformation response when compared to the first-order model (root mean square error (RMSE) 0.169N vs. 0.570N). The material sensitivity analysis indicated that the predicted force was strongly affected by the Poisson׳s ratio (12-fold increase in RMSE when reducing Poisson׳s ratio by 10% from the baseline) and the coefficient α 1 (3.2-fold and 32-fold increase in RMSE for both first-order and second-order Ogden models when increasing α 1 by 10% from the optimal value). | ||
520 | |a Finite element (FE) foot models can provide insight into soft tissue internal stresses and allow researchers to effectively conduct parametric analyses. Accurate plantar soft tissue material properties are essential for the development of FE foot models for clinical interventions. The aim of this study was to identify the first-order and second-order Ogden hyperelastic material properties of the subcalcaneal fat using an inverse FE analysis. The cylindrical soft tissue FE model was developed based on a priori in vitro dynamic compression experiment. The model simulated a 1Hz triangle wave displacement to apply a compressive strain up to 48%. The hyperelastic properties were identified by systematically varying the material parameters to minimize the difference between the model predicted force and the target experimental data. Optimal material properties were obtained (μ 1=0.0235kPa and α 1=12.07 for the first-order Ogden model and μ 1=−4.629×10−6 kPa, α 1=−16.829; μ 2=−1.613kPa and α 2=−1.043 for the second-order Ogden model). The second-order Ogden model was superior in capturing the highly nonlinear force–deformation response when compared to the first-order model (root mean square error (RMSE) 0.169N vs. 0.570N). The material sensitivity analysis indicated that the predicted force was strongly affected by the Poisson׳s ratio (12-fold increase in RMSE when reducing Poisson׳s ratio by 10% from the baseline) and the coefficient α 1 (3.2-fold and 32-fold increase in RMSE for both first-order and second-order Ogden models when increasing α 1 by 10% from the optimal value). | ||
650 | 7 | |a Plantar soft tissue |2 Elsevier | |
650 | 7 | |a Hyperelastic |2 Elsevier | |
650 | 7 | |a Finite element analysis |2 Elsevier | |
650 | 7 | |a Foot |2 Elsevier | |
650 | 7 | |a Material properties |2 Elsevier | |
700 | 1 | |a Iaquinto, Joseph M. |4 oth | |
700 | 1 | |a Pai, Shruti |4 oth | |
700 | 1 | |a Mackenzie-Helnwein, Peter |4 oth | |
700 | 1 | |a Ledoux, William R. |4 oth | |
773 | 0 | 8 | |i Enthalten in |n Elsevier Science |a Halpern-Manners, Andrew ELSEVIER |t Measuring students' school context exposures: A trajectory-based approach |d 2016 |d affiliated with the American Society of Biomechanics, the European Society of Biomechanics, the International Society of Biomechanics, the Japanese Society for Clinical Biomechanics and Related Research and the Australian and New Zealand Society of Biomechanics |g Amsterdam [u.a.] |w (DE-627)ELV00201923X |
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2016 |
allfields |
10.1016/j.jbiomech.2016.03.003 doi GBVA2016022000001.pica (DE-627)ELV014639564 (ELSEVIER)S0021-9290(16)30263-9 DE-627 ger DE-627 rakwb eng 570 796 570 DE-600 796 DE-600 300 VZ 70.00 bkl 71.00 bkl Isvilanonda, Vara verfasserin aut Hyperelastic compressive mechanical properties of the subcalcaneal soft tissue: An inverse finite element analysis 2016transfer abstract 6 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Finite element (FE) foot models can provide insight into soft tissue internal stresses and allow researchers to effectively conduct parametric analyses. Accurate plantar soft tissue material properties are essential for the development of FE foot models for clinical interventions. The aim of this study was to identify the first-order and second-order Ogden hyperelastic material properties of the subcalcaneal fat using an inverse FE analysis. The cylindrical soft tissue FE model was developed based on a priori in vitro dynamic compression experiment. The model simulated a 1Hz triangle wave displacement to apply a compressive strain up to 48%. The hyperelastic properties were identified by systematically varying the material parameters to minimize the difference between the model predicted force and the target experimental data. Optimal material properties were obtained (μ 1=0.0235kPa and α 1=12.07 for the first-order Ogden model and μ 1=−4.629×10−6 kPa, α 1=−16.829; μ 2=−1.613kPa and α 2=−1.043 for the second-order Ogden model). The second-order Ogden model was superior in capturing the highly nonlinear force–deformation response when compared to the first-order model (root mean square error (RMSE) 0.169N vs. 0.570N). The material sensitivity analysis indicated that the predicted force was strongly affected by the Poisson׳s ratio (12-fold increase in RMSE when reducing Poisson׳s ratio by 10% from the baseline) and the coefficient α 1 (3.2-fold and 32-fold increase in RMSE for both first-order and second-order Ogden models when increasing α 1 by 10% from the optimal value). Finite element (FE) foot models can provide insight into soft tissue internal stresses and allow researchers to effectively conduct parametric analyses. Accurate plantar soft tissue material properties are essential for the development of FE foot models for clinical interventions. The aim of this study was to identify the first-order and second-order Ogden hyperelastic material properties of the subcalcaneal fat using an inverse FE analysis. The cylindrical soft tissue FE model was developed based on a priori in vitro dynamic compression experiment. The model simulated a 1Hz triangle wave displacement to apply a compressive strain up to 48%. The hyperelastic properties were identified by systematically varying the material parameters to minimize the difference between the model predicted force and the target experimental data. Optimal material properties were obtained (μ 1=0.0235kPa and α 1=12.07 for the first-order Ogden model and μ 1=−4.629×10−6 kPa, α 1=−16.829; μ 2=−1.613kPa and α 2=−1.043 for the second-order Ogden model). The second-order Ogden model was superior in capturing the highly nonlinear force–deformation response when compared to the first-order model (root mean square error (RMSE) 0.169N vs. 0.570N). The material sensitivity analysis indicated that the predicted force was strongly affected by the Poisson׳s ratio (12-fold increase in RMSE when reducing Poisson׳s ratio by 10% from the baseline) and the coefficient α 1 (3.2-fold and 32-fold increase in RMSE for both first-order and second-order Ogden models when increasing α 1 by 10% from the optimal value). Plantar soft tissue Elsevier Hyperelastic Elsevier Finite element analysis Elsevier Foot Elsevier Material properties Elsevier Iaquinto, Joseph M. oth Pai, Shruti oth Mackenzie-Helnwein, Peter oth Ledoux, William R. oth Enthalten in Elsevier Science Halpern-Manners, Andrew ELSEVIER Measuring students' school context exposures: A trajectory-based approach 2016 affiliated with the American Society of Biomechanics, the European Society of Biomechanics, the International Society of Biomechanics, the Japanese Society for Clinical Biomechanics and Related Research and the Australian and New Zealand Society of Biomechanics Amsterdam [u.a.] (DE-627)ELV00201923X volume:49 year:2016 number:7 day:3 month:05 pages:1186-1191 extent:6 https://doi.org/10.1016/j.jbiomech.2016.03.003 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 70.00 Sozialwissenschaften allgemein: Allgemeines VZ 71.00 Soziologie: Allgemeines VZ AR 49 2016 7 3 0503 1186-1191 6 045F 570 |
spelling |
10.1016/j.jbiomech.2016.03.003 doi GBVA2016022000001.pica (DE-627)ELV014639564 (ELSEVIER)S0021-9290(16)30263-9 DE-627 ger DE-627 rakwb eng 570 796 570 DE-600 796 DE-600 300 VZ 70.00 bkl 71.00 bkl Isvilanonda, Vara verfasserin aut Hyperelastic compressive mechanical properties of the subcalcaneal soft tissue: An inverse finite element analysis 2016transfer abstract 6 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Finite element (FE) foot models can provide insight into soft tissue internal stresses and allow researchers to effectively conduct parametric analyses. Accurate plantar soft tissue material properties are essential for the development of FE foot models for clinical interventions. The aim of this study was to identify the first-order and second-order Ogden hyperelastic material properties of the subcalcaneal fat using an inverse FE analysis. The cylindrical soft tissue FE model was developed based on a priori in vitro dynamic compression experiment. The model simulated a 1Hz triangle wave displacement to apply a compressive strain up to 48%. The hyperelastic properties were identified by systematically varying the material parameters to minimize the difference between the model predicted force and the target experimental data. Optimal material properties were obtained (μ 1=0.0235kPa and α 1=12.07 for the first-order Ogden model and μ 1=−4.629×10−6 kPa, α 1=−16.829; μ 2=−1.613kPa and α 2=−1.043 for the second-order Ogden model). The second-order Ogden model was superior in capturing the highly nonlinear force–deformation response when compared to the first-order model (root mean square error (RMSE) 0.169N vs. 0.570N). The material sensitivity analysis indicated that the predicted force was strongly affected by the Poisson׳s ratio (12-fold increase in RMSE when reducing Poisson׳s ratio by 10% from the baseline) and the coefficient α 1 (3.2-fold and 32-fold increase in RMSE for both first-order and second-order Ogden models when increasing α 1 by 10% from the optimal value). Finite element (FE) foot models can provide insight into soft tissue internal stresses and allow researchers to effectively conduct parametric analyses. Accurate plantar soft tissue material properties are essential for the development of FE foot models for clinical interventions. The aim of this study was to identify the first-order and second-order Ogden hyperelastic material properties of the subcalcaneal fat using an inverse FE analysis. The cylindrical soft tissue FE model was developed based on a priori in vitro dynamic compression experiment. The model simulated a 1Hz triangle wave displacement to apply a compressive strain up to 48%. The hyperelastic properties were identified by systematically varying the material parameters to minimize the difference between the model predicted force and the target experimental data. Optimal material properties were obtained (μ 1=0.0235kPa and α 1=12.07 for the first-order Ogden model and μ 1=−4.629×10−6 kPa, α 1=−16.829; μ 2=−1.613kPa and α 2=−1.043 for the second-order Ogden model). The second-order Ogden model was superior in capturing the highly nonlinear force–deformation response when compared to the first-order model (root mean square error (RMSE) 0.169N vs. 0.570N). The material sensitivity analysis indicated that the predicted force was strongly affected by the Poisson׳s ratio (12-fold increase in RMSE when reducing Poisson׳s ratio by 10% from the baseline) and the coefficient α 1 (3.2-fold and 32-fold increase in RMSE for both first-order and second-order Ogden models when increasing α 1 by 10% from the optimal value). Plantar soft tissue Elsevier Hyperelastic Elsevier Finite element analysis Elsevier Foot Elsevier Material properties Elsevier Iaquinto, Joseph M. oth Pai, Shruti oth Mackenzie-Helnwein, Peter oth Ledoux, William R. oth Enthalten in Elsevier Science Halpern-Manners, Andrew ELSEVIER Measuring students' school context exposures: A trajectory-based approach 2016 affiliated with the American Society of Biomechanics, the European Society of Biomechanics, the International Society of Biomechanics, the Japanese Society for Clinical Biomechanics and Related Research and the Australian and New Zealand Society of Biomechanics Amsterdam [u.a.] (DE-627)ELV00201923X volume:49 year:2016 number:7 day:3 month:05 pages:1186-1191 extent:6 https://doi.org/10.1016/j.jbiomech.2016.03.003 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 70.00 Sozialwissenschaften allgemein: Allgemeines VZ 71.00 Soziologie: Allgemeines VZ AR 49 2016 7 3 0503 1186-1191 6 045F 570 |
allfields_unstemmed |
10.1016/j.jbiomech.2016.03.003 doi GBVA2016022000001.pica (DE-627)ELV014639564 (ELSEVIER)S0021-9290(16)30263-9 DE-627 ger DE-627 rakwb eng 570 796 570 DE-600 796 DE-600 300 VZ 70.00 bkl 71.00 bkl Isvilanonda, Vara verfasserin aut Hyperelastic compressive mechanical properties of the subcalcaneal soft tissue: An inverse finite element analysis 2016transfer abstract 6 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Finite element (FE) foot models can provide insight into soft tissue internal stresses and allow researchers to effectively conduct parametric analyses. Accurate plantar soft tissue material properties are essential for the development of FE foot models for clinical interventions. The aim of this study was to identify the first-order and second-order Ogden hyperelastic material properties of the subcalcaneal fat using an inverse FE analysis. The cylindrical soft tissue FE model was developed based on a priori in vitro dynamic compression experiment. The model simulated a 1Hz triangle wave displacement to apply a compressive strain up to 48%. The hyperelastic properties were identified by systematically varying the material parameters to minimize the difference between the model predicted force and the target experimental data. Optimal material properties were obtained (μ 1=0.0235kPa and α 1=12.07 for the first-order Ogden model and μ 1=−4.629×10−6 kPa, α 1=−16.829; μ 2=−1.613kPa and α 2=−1.043 for the second-order Ogden model). The second-order Ogden model was superior in capturing the highly nonlinear force–deformation response when compared to the first-order model (root mean square error (RMSE) 0.169N vs. 0.570N). The material sensitivity analysis indicated that the predicted force was strongly affected by the Poisson׳s ratio (12-fold increase in RMSE when reducing Poisson׳s ratio by 10% from the baseline) and the coefficient α 1 (3.2-fold and 32-fold increase in RMSE for both first-order and second-order Ogden models when increasing α 1 by 10% from the optimal value). Finite element (FE) foot models can provide insight into soft tissue internal stresses and allow researchers to effectively conduct parametric analyses. Accurate plantar soft tissue material properties are essential for the development of FE foot models for clinical interventions. The aim of this study was to identify the first-order and second-order Ogden hyperelastic material properties of the subcalcaneal fat using an inverse FE analysis. The cylindrical soft tissue FE model was developed based on a priori in vitro dynamic compression experiment. The model simulated a 1Hz triangle wave displacement to apply a compressive strain up to 48%. The hyperelastic properties were identified by systematically varying the material parameters to minimize the difference between the model predicted force and the target experimental data. Optimal material properties were obtained (μ 1=0.0235kPa and α 1=12.07 for the first-order Ogden model and μ 1=−4.629×10−6 kPa, α 1=−16.829; μ 2=−1.613kPa and α 2=−1.043 for the second-order Ogden model). The second-order Ogden model was superior in capturing the highly nonlinear force–deformation response when compared to the first-order model (root mean square error (RMSE) 0.169N vs. 0.570N). The material sensitivity analysis indicated that the predicted force was strongly affected by the Poisson׳s ratio (12-fold increase in RMSE when reducing Poisson׳s ratio by 10% from the baseline) and the coefficient α 1 (3.2-fold and 32-fold increase in RMSE for both first-order and second-order Ogden models when increasing α 1 by 10% from the optimal value). Plantar soft tissue Elsevier Hyperelastic Elsevier Finite element analysis Elsevier Foot Elsevier Material properties Elsevier Iaquinto, Joseph M. oth Pai, Shruti oth Mackenzie-Helnwein, Peter oth Ledoux, William R. oth Enthalten in Elsevier Science Halpern-Manners, Andrew ELSEVIER Measuring students' school context exposures: A trajectory-based approach 2016 affiliated with the American Society of Biomechanics, the European Society of Biomechanics, the International Society of Biomechanics, the Japanese Society for Clinical Biomechanics and Related Research and the Australian and New Zealand Society of Biomechanics Amsterdam [u.a.] (DE-627)ELV00201923X volume:49 year:2016 number:7 day:3 month:05 pages:1186-1191 extent:6 https://doi.org/10.1016/j.jbiomech.2016.03.003 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 70.00 Sozialwissenschaften allgemein: Allgemeines VZ 71.00 Soziologie: Allgemeines VZ AR 49 2016 7 3 0503 1186-1191 6 045F 570 |
allfieldsGer |
10.1016/j.jbiomech.2016.03.003 doi GBVA2016022000001.pica (DE-627)ELV014639564 (ELSEVIER)S0021-9290(16)30263-9 DE-627 ger DE-627 rakwb eng 570 796 570 DE-600 796 DE-600 300 VZ 70.00 bkl 71.00 bkl Isvilanonda, Vara verfasserin aut Hyperelastic compressive mechanical properties of the subcalcaneal soft tissue: An inverse finite element analysis 2016transfer abstract 6 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Finite element (FE) foot models can provide insight into soft tissue internal stresses and allow researchers to effectively conduct parametric analyses. Accurate plantar soft tissue material properties are essential for the development of FE foot models for clinical interventions. The aim of this study was to identify the first-order and second-order Ogden hyperelastic material properties of the subcalcaneal fat using an inverse FE analysis. The cylindrical soft tissue FE model was developed based on a priori in vitro dynamic compression experiment. The model simulated a 1Hz triangle wave displacement to apply a compressive strain up to 48%. The hyperelastic properties were identified by systematically varying the material parameters to minimize the difference between the model predicted force and the target experimental data. Optimal material properties were obtained (μ 1=0.0235kPa and α 1=12.07 for the first-order Ogden model and μ 1=−4.629×10−6 kPa, α 1=−16.829; μ 2=−1.613kPa and α 2=−1.043 for the second-order Ogden model). The second-order Ogden model was superior in capturing the highly nonlinear force–deformation response when compared to the first-order model (root mean square error (RMSE) 0.169N vs. 0.570N). The material sensitivity analysis indicated that the predicted force was strongly affected by the Poisson׳s ratio (12-fold increase in RMSE when reducing Poisson׳s ratio by 10% from the baseline) and the coefficient α 1 (3.2-fold and 32-fold increase in RMSE for both first-order and second-order Ogden models when increasing α 1 by 10% from the optimal value). Finite element (FE) foot models can provide insight into soft tissue internal stresses and allow researchers to effectively conduct parametric analyses. Accurate plantar soft tissue material properties are essential for the development of FE foot models for clinical interventions. The aim of this study was to identify the first-order and second-order Ogden hyperelastic material properties of the subcalcaneal fat using an inverse FE analysis. The cylindrical soft tissue FE model was developed based on a priori in vitro dynamic compression experiment. The model simulated a 1Hz triangle wave displacement to apply a compressive strain up to 48%. The hyperelastic properties were identified by systematically varying the material parameters to minimize the difference between the model predicted force and the target experimental data. Optimal material properties were obtained (μ 1=0.0235kPa and α 1=12.07 for the first-order Ogden model and μ 1=−4.629×10−6 kPa, α 1=−16.829; μ 2=−1.613kPa and α 2=−1.043 for the second-order Ogden model). The second-order Ogden model was superior in capturing the highly nonlinear force–deformation response when compared to the first-order model (root mean square error (RMSE) 0.169N vs. 0.570N). The material sensitivity analysis indicated that the predicted force was strongly affected by the Poisson׳s ratio (12-fold increase in RMSE when reducing Poisson׳s ratio by 10% from the baseline) and the coefficient α 1 (3.2-fold and 32-fold increase in RMSE for both first-order and second-order Ogden models when increasing α 1 by 10% from the optimal value). Plantar soft tissue Elsevier Hyperelastic Elsevier Finite element analysis Elsevier Foot Elsevier Material properties Elsevier Iaquinto, Joseph M. oth Pai, Shruti oth Mackenzie-Helnwein, Peter oth Ledoux, William R. oth Enthalten in Elsevier Science Halpern-Manners, Andrew ELSEVIER Measuring students' school context exposures: A trajectory-based approach 2016 affiliated with the American Society of Biomechanics, the European Society of Biomechanics, the International Society of Biomechanics, the Japanese Society for Clinical Biomechanics and Related Research and the Australian and New Zealand Society of Biomechanics Amsterdam [u.a.] (DE-627)ELV00201923X volume:49 year:2016 number:7 day:3 month:05 pages:1186-1191 extent:6 https://doi.org/10.1016/j.jbiomech.2016.03.003 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 70.00 Sozialwissenschaften allgemein: Allgemeines VZ 71.00 Soziologie: Allgemeines VZ AR 49 2016 7 3 0503 1186-1191 6 045F 570 |
allfieldsSound |
10.1016/j.jbiomech.2016.03.003 doi GBVA2016022000001.pica (DE-627)ELV014639564 (ELSEVIER)S0021-9290(16)30263-9 DE-627 ger DE-627 rakwb eng 570 796 570 DE-600 796 DE-600 300 VZ 70.00 bkl 71.00 bkl Isvilanonda, Vara verfasserin aut Hyperelastic compressive mechanical properties of the subcalcaneal soft tissue: An inverse finite element analysis 2016transfer abstract 6 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Finite element (FE) foot models can provide insight into soft tissue internal stresses and allow researchers to effectively conduct parametric analyses. Accurate plantar soft tissue material properties are essential for the development of FE foot models for clinical interventions. The aim of this study was to identify the first-order and second-order Ogden hyperelastic material properties of the subcalcaneal fat using an inverse FE analysis. The cylindrical soft tissue FE model was developed based on a priori in vitro dynamic compression experiment. The model simulated a 1Hz triangle wave displacement to apply a compressive strain up to 48%. The hyperelastic properties were identified by systematically varying the material parameters to minimize the difference between the model predicted force and the target experimental data. Optimal material properties were obtained (μ 1=0.0235kPa and α 1=12.07 for the first-order Ogden model and μ 1=−4.629×10−6 kPa, α 1=−16.829; μ 2=−1.613kPa and α 2=−1.043 for the second-order Ogden model). The second-order Ogden model was superior in capturing the highly nonlinear force–deformation response when compared to the first-order model (root mean square error (RMSE) 0.169N vs. 0.570N). The material sensitivity analysis indicated that the predicted force was strongly affected by the Poisson׳s ratio (12-fold increase in RMSE when reducing Poisson׳s ratio by 10% from the baseline) and the coefficient α 1 (3.2-fold and 32-fold increase in RMSE for both first-order and second-order Ogden models when increasing α 1 by 10% from the optimal value). Finite element (FE) foot models can provide insight into soft tissue internal stresses and allow researchers to effectively conduct parametric analyses. Accurate plantar soft tissue material properties are essential for the development of FE foot models for clinical interventions. The aim of this study was to identify the first-order and second-order Ogden hyperelastic material properties of the subcalcaneal fat using an inverse FE analysis. The cylindrical soft tissue FE model was developed based on a priori in vitro dynamic compression experiment. The model simulated a 1Hz triangle wave displacement to apply a compressive strain up to 48%. The hyperelastic properties were identified by systematically varying the material parameters to minimize the difference between the model predicted force and the target experimental data. Optimal material properties were obtained (μ 1=0.0235kPa and α 1=12.07 for the first-order Ogden model and μ 1=−4.629×10−6 kPa, α 1=−16.829; μ 2=−1.613kPa and α 2=−1.043 for the second-order Ogden model). The second-order Ogden model was superior in capturing the highly nonlinear force–deformation response when compared to the first-order model (root mean square error (RMSE) 0.169N vs. 0.570N). The material sensitivity analysis indicated that the predicted force was strongly affected by the Poisson׳s ratio (12-fold increase in RMSE when reducing Poisson׳s ratio by 10% from the baseline) and the coefficient α 1 (3.2-fold and 32-fold increase in RMSE for both first-order and second-order Ogden models when increasing α 1 by 10% from the optimal value). Plantar soft tissue Elsevier Hyperelastic Elsevier Finite element analysis Elsevier Foot Elsevier Material properties Elsevier Iaquinto, Joseph M. oth Pai, Shruti oth Mackenzie-Helnwein, Peter oth Ledoux, William R. oth Enthalten in Elsevier Science Halpern-Manners, Andrew ELSEVIER Measuring students' school context exposures: A trajectory-based approach 2016 affiliated with the American Society of Biomechanics, the European Society of Biomechanics, the International Society of Biomechanics, the Japanese Society for Clinical Biomechanics and Related Research and the Australian and New Zealand Society of Biomechanics Amsterdam [u.a.] (DE-627)ELV00201923X volume:49 year:2016 number:7 day:3 month:05 pages:1186-1191 extent:6 https://doi.org/10.1016/j.jbiomech.2016.03.003 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 70.00 Sozialwissenschaften allgemein: Allgemeines VZ 71.00 Soziologie: Allgemeines VZ AR 49 2016 7 3 0503 1186-1191 6 045F 570 |
language |
English |
source |
Enthalten in Measuring students' school context exposures: A trajectory-based approach Amsterdam [u.a.] volume:49 year:2016 number:7 day:3 month:05 pages:1186-1191 extent:6 |
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hyperelastic compressive mechanical properties of the subcalcaneal soft tissue: an inverse finite element analysis |
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Hyperelastic compressive mechanical properties of the subcalcaneal soft tissue: An inverse finite element analysis |
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Finite element (FE) foot models can provide insight into soft tissue internal stresses and allow researchers to effectively conduct parametric analyses. Accurate plantar soft tissue material properties are essential for the development of FE foot models for clinical interventions. The aim of this study was to identify the first-order and second-order Ogden hyperelastic material properties of the subcalcaneal fat using an inverse FE analysis. The cylindrical soft tissue FE model was developed based on a priori in vitro dynamic compression experiment. The model simulated a 1Hz triangle wave displacement to apply a compressive strain up to 48%. The hyperelastic properties were identified by systematically varying the material parameters to minimize the difference between the model predicted force and the target experimental data. Optimal material properties were obtained (μ 1=0.0235kPa and α 1=12.07 for the first-order Ogden model and μ 1=−4.629×10−6 kPa, α 1=−16.829; μ 2=−1.613kPa and α 2=−1.043 for the second-order Ogden model). The second-order Ogden model was superior in capturing the highly nonlinear force–deformation response when compared to the first-order model (root mean square error (RMSE) 0.169N vs. 0.570N). The material sensitivity analysis indicated that the predicted force was strongly affected by the Poisson׳s ratio (12-fold increase in RMSE when reducing Poisson׳s ratio by 10% from the baseline) and the coefficient α 1 (3.2-fold and 32-fold increase in RMSE for both first-order and second-order Ogden models when increasing α 1 by 10% from the optimal value). |
abstractGer |
Finite element (FE) foot models can provide insight into soft tissue internal stresses and allow researchers to effectively conduct parametric analyses. Accurate plantar soft tissue material properties are essential for the development of FE foot models for clinical interventions. The aim of this study was to identify the first-order and second-order Ogden hyperelastic material properties of the subcalcaneal fat using an inverse FE analysis. The cylindrical soft tissue FE model was developed based on a priori in vitro dynamic compression experiment. The model simulated a 1Hz triangle wave displacement to apply a compressive strain up to 48%. The hyperelastic properties were identified by systematically varying the material parameters to minimize the difference between the model predicted force and the target experimental data. Optimal material properties were obtained (μ 1=0.0235kPa and α 1=12.07 for the first-order Ogden model and μ 1=−4.629×10−6 kPa, α 1=−16.829; μ 2=−1.613kPa and α 2=−1.043 for the second-order Ogden model). The second-order Ogden model was superior in capturing the highly nonlinear force–deformation response when compared to the first-order model (root mean square error (RMSE) 0.169N vs. 0.570N). The material sensitivity analysis indicated that the predicted force was strongly affected by the Poisson׳s ratio (12-fold increase in RMSE when reducing Poisson׳s ratio by 10% from the baseline) and the coefficient α 1 (3.2-fold and 32-fold increase in RMSE for both first-order and second-order Ogden models when increasing α 1 by 10% from the optimal value). |
abstract_unstemmed |
Finite element (FE) foot models can provide insight into soft tissue internal stresses and allow researchers to effectively conduct parametric analyses. Accurate plantar soft tissue material properties are essential for the development of FE foot models for clinical interventions. The aim of this study was to identify the first-order and second-order Ogden hyperelastic material properties of the subcalcaneal fat using an inverse FE analysis. The cylindrical soft tissue FE model was developed based on a priori in vitro dynamic compression experiment. The model simulated a 1Hz triangle wave displacement to apply a compressive strain up to 48%. The hyperelastic properties were identified by systematically varying the material parameters to minimize the difference between the model predicted force and the target experimental data. Optimal material properties were obtained (μ 1=0.0235kPa and α 1=12.07 for the first-order Ogden model and μ 1=−4.629×10−6 kPa, α 1=−16.829; μ 2=−1.613kPa and α 2=−1.043 for the second-order Ogden model). The second-order Ogden model was superior in capturing the highly nonlinear force–deformation response when compared to the first-order model (root mean square error (RMSE) 0.169N vs. 0.570N). The material sensitivity analysis indicated that the predicted force was strongly affected by the Poisson׳s ratio (12-fold increase in RMSE when reducing Poisson׳s ratio by 10% from the baseline) and the coefficient α 1 (3.2-fold and 32-fold increase in RMSE for both first-order and second-order Ogden models when increasing α 1 by 10% from the optimal value). |
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The second-order Ogden model was superior in capturing the highly nonlinear force–deformation response when compared to the first-order model (root mean square error (RMSE) 0.169N vs. 0.570N). The material sensitivity analysis indicated that the predicted force was strongly affected by the Poisson׳s ratio (12-fold increase in RMSE when reducing Poisson׳s ratio by 10% from the baseline) and the coefficient α 1 (3.2-fold and 32-fold increase in RMSE for both first-order and second-order Ogden models when increasing α 1 by 10% from the optimal value).</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Finite element (FE) foot models can provide insight into soft tissue internal stresses and allow researchers to effectively conduct parametric analyses. Accurate plantar soft tissue material properties are essential for the development of FE foot models for clinical interventions. The aim of this study was to identify the first-order and second-order Ogden hyperelastic material properties of the subcalcaneal fat using an inverse FE analysis. The cylindrical soft tissue FE model was developed based on a priori in vitro dynamic compression experiment. The model simulated a 1Hz triangle wave displacement to apply a compressive strain up to 48%. The hyperelastic properties were identified by systematically varying the material parameters to minimize the difference between the model predicted force and the target experimental data. Optimal material properties were obtained (μ 1=0.0235kPa and α 1=12.07 for the first-order Ogden model and μ 1=−4.629×10−6 kPa, α 1=−16.829; μ 2=−1.613kPa and α 2=−1.043 for the second-order Ogden model). The second-order Ogden model was superior in capturing the highly nonlinear force–deformation response when compared to the first-order model (root mean square error (RMSE) 0.169N vs. 0.570N). The material sensitivity analysis indicated that the predicted force was strongly affected by the Poisson׳s ratio (12-fold increase in RMSE when reducing Poisson׳s ratio by 10% from the baseline) and the coefficient α 1 (3.2-fold and 32-fold increase in RMSE for both first-order and second-order Ogden models when increasing α 1 by 10% from the optimal value).</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Plantar soft tissue</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Hyperelastic</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Finite element analysis</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Foot</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Material properties</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Iaquinto, Joseph M.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Pai, Shruti</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mackenzie-Helnwein, Peter</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ledoux, William R.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Halpern-Manners, Andrew ELSEVIER</subfield><subfield code="t">Measuring students' school context exposures: A trajectory-based approach</subfield><subfield code="d">2016</subfield><subfield code="d">affiliated with the American Society of Biomechanics, the European Society of Biomechanics, the International Society of Biomechanics, the Japanese Society for Clinical Biomechanics and Related Research and the Australian and New Zealand Society of Biomechanics</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV00201923X</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:49</subfield><subfield code="g">year:2016</subfield><subfield code="g">number:7</subfield><subfield code="g">day:3</subfield><subfield code="g">month:05</subfield><subfield code="g">pages:1186-1191</subfield><subfield code="g">extent:6</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.jbiomech.2016.03.003</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">70.00</subfield><subfield code="j">Sozialwissenschaften allgemein: Allgemeines</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">71.00</subfield><subfield code="j">Soziologie: Allgemeines</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">49</subfield><subfield code="j">2016</subfield><subfield code="e">7</subfield><subfield code="b">3</subfield><subfield code="c">0503</subfield><subfield code="h">1186-1191</subfield><subfield code="g">6</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">570</subfield></datafield></record></collection>
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