On the Hyperelastic Behavior of the Boar Diaphragmatic Tendon Membrane by Inflation Tests and Modeling
Pith reviewed 2026-05-20 02:28 UTC · model grok-4.3
pith:6DGQYI3V Add to your LaTeX paper
What is a Pith Number?\usepackage{pith}
\pithnumber{6DGQYI3V}
Prints a linked pith:6DGQYI3V badge after your title and writes the identifier into PDF metadata. Compiles on arXiv with no extra files. Learn more
The pith
The Humphrey-Yin transversely isotropic hyperelastic model captures the biaxial hyperelastic response of the porcine diaphragmatic tendon better than isotropic models.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
The diaphragm tissue exhibited an exponential mechanical response. While isotropic models struggled, particularly in reproducing directional differences between meridional and circumferential stretches, the Humphrey-Yin transversely isotropic hyperelastic model provided a markedly improved description of the experimental data over the full inflation range, with the transversely isotropic contribution dominating the strain-energy response.
What carries the argument
The Humphrey-Yin transversely isotropic hyperelastic formulation, which represents an effective anisotropic response associated with the lamellar and collagen-rich structure through the thickness while assuming isotropy within the membrane plane.
If this is right
- The tissue shows exponential stiffening under biaxial loading.
- Isotropic hyperelastic models are insufficient for accurate modeling of this tendon.
- The transversely isotropic contribution dominates the strain energy.
- No significant mechanical differences exist between left and right diaphragm samples.
- This framework can support biomechanical modeling for prosthetic development.
Where Pith is reading between the lines
- This suggests that similar anisotropic modeling may be necessary for other collagen-rich membranes in the body.
- Future work could test the model under different loading conditions like uniaxial tension to confirm its generality.
- Improved material models could reduce recurrence rates in CDH repairs by better matching native tissue mechanics.
- Validating the spherical cap approximation with more advanced strain mapping techniques would strengthen the results.
Load-bearing premise
The spherical-cap approximation for extracting principal stretches from the reconstructed 3D geometry, along with corrections for clamping-induced pre-deformation, accurately represents the local deformation state throughout the test.
What would settle it
If full-field strain measurements without the spherical-cap approximation show that the Humphrey-Yin model no longer fits the pressure-stretch data significantly better than isotropic models, the claim of its superiority would be challenged.
read the original abstract
Background: Despite the large variety of materials used to repair congenital diaphragmatic hernia (CDH), none has proven ideal due to complications and risk of recurrence. Understanding the mechanical behavior of the diaphragm's central tendon is essential for developing biomimetic prostheses. Objective: This study aims to characterize the hyperelastic behavior of the porcine diaphragmatic tendon under biaxial loading conditions. Methods: Biaxial hyperelastic response of the porcine diaphragmatic central tendon was characterized using bulge inflation tests combined with full-field stereo digital image correlation (3D-DIC). Principal stretches were extracted from the reconstructed three-dimensional geometry using a spherical-cap approximation, with corrections for clamping-induced pre-deformation. Several incompressible isotropic hyperelastic models (Neo-Hookean, Mooney-Rivlin, Yeoh and Fung) were first evaluated as phenomenological baselines. To account for the anisotropic mechanical signature of the tendon, a transversely isotropic hyperelastic formulation of the Humphrey-Yin type was implemented. This model represents an effective anisotropic response associated with the lamellar and collagen-rich structure of the tissue through its thickness, while assuming isotropy within the membrane plane. Results: The diaphragm tissue exhibited an exponential mechanical response. Neo-Hookean and Mooney-Rivlin models failed to capture the observed behavior, while the Yeoh model slightly overestimated nonlinearity. The Fung model provided the closest fit to the nonlinear pressure-stretch response, yet failed to reproduce the directional differences observed between meridional and circumferential stretches. The Humphrey-Yin model provided a markedly improved description of the experimental data over the full inflation range. Parameter identification revealed that the transversely isotropic contribution dominated the strain-energy response, highlighting the limitations of isotropic constitutive laws for modeling diaphragmatic tendon mechanics, even under macroscopically axisymmetric inflation. Despite specimen-to-specimen variability, no significant differences were observed between left and right diaphragm samples. Conclusion: Overall, this work demonstrates that effective anisotropic hyperelastic formulations are required to describe the biaxial mechanical behavior of the diaphragmatic central tendon under inflation loading. The proposed experimental-numerical framework provides a robust basis for biomechanical modeling and constitutes a first step toward the development of biomimetic prosthetic materials for diaphragmatic repair.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript reports bulge inflation tests on porcine diaphragmatic central tendon using 3D-DIC to measure biaxial hyperelastic response. Isotropic models (Neo-Hookean, Mooney-Rivlin, Yeoh, Fung) are fitted to pressure-stretch data but fail to capture observed directional differences between meridional and circumferential stretches; a transversely isotropic Humphrey-Yin formulation is shown to provide a markedly improved description over the full inflation range, with parameter identification indicating that the transversely isotropic term dominates the strain-energy response. The work concludes that anisotropic constitutive laws are required even under macroscopically axisymmetric loading and provides a framework for biomimetic prosthesis design, noting no significant left-right differences despite specimen variability.
Significance. If the deformation-state extraction is accurate, the demonstration that isotropic phenomenological models are insufficient while a transversely isotropic Humphrey-Yin model captures both nonlinearity and directional signatures supplies useful experimental data and modeling guidance for diaphragmatic-tendon biomechanics. The finding that the anisotropic contribution dominates the strain energy directly supports the need for directionally sensitive constitutive descriptions in congenital-diaphragmatic-hernia repair applications.
major comments (2)
- [Methods] Methods section: Principal stretches are obtained via spherical-cap fit to the reconstructed 3D geometry plus clamping pre-deformation corrections. Under true material anisotropy or non-uniform boundary effects the deformed surface need not remain spherical, so the extracted meridional and circumferential stretches may contain systematic error. This error could artifactually generate the directional differences that isotropic models cannot fit while the Humphrey-Yin form can, thereby weakening the claim that the transversely isotropic contribution dominates the strain-energy response.
- [Results] Results section: The abstract states that the Humphrey-Yin model yields a markedly improved description and that the transversely isotropic term dominates, yet no quantitative fit residuals, R^{2} values, or specimen counts are referenced in the provided text. Without these metrics it is impossible to judge whether the reported superiority is robust or sensitive to data selection and parameter choices.
minor comments (2)
- The abstract and conclusion refer to 'boar' and 'porcine' interchangeably; consistent terminology should be used throughout.
- Figure legends and axis labels should explicitly state whether plotted stretches are meridional or circumferential and whether they include the clamping correction.
Simulated Author's Rebuttal
We are grateful to the referee for their thorough review and valuable suggestions. Below we respond to each major comment and indicate the changes we will make to the manuscript.
read point-by-point responses
-
Referee: Methods section: Principal stretches are obtained via spherical-cap fit to the reconstructed 3D geometry plus clamping pre-deformation corrections. Under true material anisotropy or non-uniform boundary effects the deformed surface need not remain spherical, so the extracted meridional and circumferential stretches may contain systematic error. This error could artifactually generate the directional differences that isotropic models cannot fit while the Humphrey-Yin form can, thereby weakening the claim that the transversely isotropic contribution dominates the strain-energy response.
Authors: This is an important point. The spherical cap approximation is a standard approach in bulge inflation tests for membranes, but we recognize that anisotropy could lead to deviations. We will add to the methods and results sections a quantitative assessment of the fit accuracy, such as the average deviation from sphericity in the analyzed region. We maintain that the observed stretch differences reflect the tissue's true mechanical behavior, as supported by the histological structure, but will include this additional check to rule out methodological artifacts. revision: yes
-
Referee: Results section: The abstract states that the Humphrey-Yin model yields a markedly improved description and that the transversely isotropic term dominates, yet no quantitative fit residuals, R^{2} values, or specimen counts are referenced in the provided text. Without these metrics it is impossible to judge whether the reported superiority is robust or sensitive to data selection and parameter choices.
Authors: We agree that the absence of specific quantitative metrics in the text makes it difficult to fully assess the model performance. We will revise the results section to include the number of specimens tested, as well as R² and residual error values for the different models. This will provide concrete evidence for the superiority of the Humphrey-Yin model and the dominance of the transversely isotropic term. revision: yes
Circularity Check
No significant circularity; standard experimental model fitting
full rationale
The paper conducts bulge inflation experiments on porcine diaphragmatic tendon, reconstructs 3D geometry via stereo DIC, applies a spherical-cap approximation plus pre-deformation corrections to obtain principal stretches, and then performs parameter identification for several hyperelastic constitutive models against the measured pressure-stretch data. The Humphrey-Yin transversely isotropic form is shown to fit better than the isotropic baselines, with the anisotropic term contributing most to the strain energy. This workflow is direct fitting of model parameters to independent experimental inputs; the reported dominance of the transversely isotropic contribution is a post-fit diagnostic, not a quantity that equals the fitting procedure by construction. No self-citation chain, uniqueness theorem, or ansatz smuggling is invoked to justify the central claim. The geometric approximation is an explicit modeling assumption whose validity can be checked against the data but does not render the subsequent model comparison circular.
Axiom & Free-Parameter Ledger
free parameters (1)
- Humphrey-Yin material constants (C1, C2, C3, k1, k2, kappa)
axioms (2)
- domain assumption The diaphragmatic tendon is incompressible.
- domain assumption The tissue is transversely isotropic with the plane of isotropy lying within the membrane.
Reference graph
Works this paper leans on
-
[1]
Coelho, B., Karami, E., Haddad, S. M., Seify, B., & Samani, A. (2017). A biomechanical approach for in vivo diaphragm muscle motion prediction during normal respiration. SPIE Proceedings. https://doi.org/10.1117/12.2254590
-
[2]
Ladjal, H., Saade, J., Beuve, M., Azencot, J., Moreau, J.-M., & Shariat, B. (2013). 3D biomechanical modeling of the human diaphragm based on CT scan images. IFMBE Proceedings, 2188–2191. https://doi.org/10.1007/978-3-642- 29305-4_574
-
[3]
Boriek, A. M., Rodarte, J. R., & Reid, M. B. (2001). Shape and tension distribution of the passive rat diaphragm. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, 280(1). https://doi.org/10.1152/ajpregu.2001.280.1.r33
-
[4]
Boriek, A. M., & Rodarte, J. R. (1997). Effects of transverse fiber stiffness and central tendon on displacement and shape of a simple diaphragm model. Journal of Applied Physiology, 82(5), 1626–1636. https://doi.org/10.1152/jappl.1997.82.5.1626
-
[5]
Favre, J.-P., Cheynel, N., Benoit, L., & Favoulet, P. (2005). Traitement Chirurgical des ruptures traumatiques du diaphragme. EMC - Chirurgie, 2(3), 242–251. https://doi.org/10.1016/j.emcchi.2005.04.004
-
[6]
de Cesare, N., Trevisan, C., Maghin, E., Piccoli, M., & Pavan, P. G. (2018). A finite element analysis of diaphragmatic hernia repair on an animal model. Journal of the Mechanical Behavior of Biomedical Materials, 86, 33–42. https://doi.org/10.1016/j.jmbbm.2018.06.005
-
[7]
Avril, S., & Evans, S. (2017). Material parameter identification and inverse problems in soft tissue biomechanics. Springer
work page 2017
-
[8]
Hill, R. (1950). C. A theory of the plastic bulging of a metal diaphragm by lateral pressure. The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, 41(322), 1133–1142. https://doi.org/10.1080/14786445008561154 20
-
[10]
Dumpa, V., & Chandrasekharan, P. (2022). Congenital Diaphragmatic Hernia. NCBI Bookshelf. A service of the National Library of Medicine, National Institutes of Health. PMID: 32310536. Bookshelf ID: NBK556076
work page 2022
-
[11]
Kesieme, E. B., & Kesieme, C. N. (2011). Congenital diaphragmatic hernia: Review of current concept in surgical management. ISRN Surgery, 2011, 1–8. https://doi.org/10.5402/2011/97404
-
[12]
Kunisaki, S. M., Fuchs, J. R., Kaviani, A., Oh, J.-T., LaVan, D. A., Vacanti, J. P., Wilson, J. M., & Fauza, D. O. (2006). Diaphragmatic repair through fetal tissue engineering: A comparison between mesenchymal amniocyte– and myoblast- based constructs. Journal of Pediatric Surgery, 41(1), 34–39. https://doi.org/10.1016/j.jpedsurg.2005.10.011
-
[13]
Fauza, D. O. (2014). Tissue engineering in congenital diaphragmatic hernia. Seminars in Pediatric Surgery, 23(3), 135–
work page 2014
-
[14]
https://doi.org/10.1053/j.sempedsurg.2014.04.004
-
[15]
Sacks, M. S., & Chuong, C. J. (1992). Characterization of collagen fiber architecture in the canine diaphragmatic central tendon. Journal of Biomechanical Engineering, 114(2), 183–190. https://doi.org/10.1115/1.2891370
-
[16]
Chuong, C. J., Sacks, M. S., Johnson, R. L., & Reynolds, R. (1991b). On the anisotropy of the canine diaphragmatic central tendon. Journal of Biomechanics, 24(7), 563–576. https://doi.org/10.1016/0021-9290(91)90289-y
-
[17]
Hwang, W., Kelly, N. G., & Boriek, A. M. (2005). Passive mechanics of muscle tendinous junction of canine diaphragm. Journal of Applied Physiology, 98(4), 1328–1333. https://doi.org/10.1152/japplphysiol.00816.2004
-
[18]
Gates, F., McCammond, D., Zingg, W., & Kunov, H. (1980). In vivo stiffness properties of the canine diaphragm muscle. Medical & Biological Engineering & Computing, 18(5), 625–632. https://doi.org/10.1007/bf02443135
-
[19]
Tonge, T. K., Atlan, L. S., Voo, L. M., & Nguyen, T. D. (2013). Full-field bulge test for planar anisotropic tissues: Part I – experimental methods applied to human skin tissue. Acta Biomaterialia, 9(4), 5913–5925. https://doi.org/10.1016/j.actbio.2012.11.035
-
[20]
Brunon, A., Bruyère-Garnier, K., & Coret, M. (2011). Characterization of the nonlinear behavior and the failure of human liver capsule through inflation tests. Journal of the Mechanical Behavior of Biomedical Materials, 4(8), 1572–
work page 2011
-
[21]
https://doi.org/10.1016/j.jmbbm.2010.12.016
-
[22]
Feng, W. W. (1992). Viscoelastic behavior of elastomeric membranes. Journal of Applied Mechanics, 59(2S). https://doi.org/10.1115/1.2899504
-
[23]
A., Connesson, N., Chagnon, G., & Payan, Y
Elahi, S. A., Connesson, N., Chagnon, G., & Payan, Y. (2019). In-vivo soft tissues mechanical characterization: Volume-based aspiration method validated on silicones. Experimental Mechanics, 59(2), 251–261. https://doi.org/10.1007/s11340-018-00440-9
-
[24]
Meunier, L., Chagnon, G., Favier, D., Orgéas, L., & Vacher, P. (2008). Mechanical experimental characterisation and numerical modelling of an unfilled silicone rubber. Polymer Testing, 27(6), 765–777. https://doi.org/10.1016/j.polymertesting.2008.05.011
-
[25]
A., Le Floc’h, S., & Wagner-Kocher, C
Jourdan, F., Vasquez-Villegas, J., EL Anwar, R. A., Le Floc’h, S., & Wagner-Kocher, C. (2023). Semi-analytical model for stretch ratio determination in inflation test for isotropic membranes. Mechanics Research Communications, 127, 104033. https://doi.org/10.1016/j.mechrescom.2022.104033
-
[26]
A., Oh, J.-T., Almendinger, N., Javid, P., LaVan, D., & Fauza, D
Steigman, S. A., Oh, J.-T., Almendinger, N., Javid, P., LaVan, D., & Fauza, D. (2010). Structural and biomechanical characteristics of the diaphragmatic tendon in infancy and childhood: An initial analysis. Journal of Pediatric Surgery, 45(7), 1455–1458. https://doi.org/10.1016/j.jpedsurg.2009.09.030
-
[27]
Gaur, P., Chawla, A., Verma, K., Mukherjee, S., Lalvani, S., Malhotra, R., & Mayer, C. (2016). Characterisation of human diaphragm at high strain rate loading. Journal of the Mechanical Behavior of Biomedical Materials, 60, 603–
work page 2016
-
[28]
https://doi.org/10.1016/j.jmbbm.2016.02.031
-
[29]
Machado, G., Favier, D., & Chagnon, G. (2011). Membrane curvatures and stress-strain full fields of axisymmetric bulge tests from 3D-DIC measurements. theory and validation on virtual and experimental results. Experimental Mechanics, 52(7), 865–880. https://doi.org/10.1007/s11340-011-9571-3
-
[30]
Marra, S. P., Kennedy, F. E., Kinkaid, J. N., & Fillinger, M. F. (2006). Elastic and rupture properties of porcine aortic tissue measured using inflation testing. Cardiovascular Engineering, 6(4), 123–131. https://doi.org/10.1007/s10558- 006-9021-5
-
[31]
Zhang, D., Eggleton, C. D., & Arola, D. D. (2002). Evaluating the mechanical behavior of arterial tissue using digital image correlation. Experimental Mechanics, 42(4), 409–416. https://doi.org/10.1007/bf02412146
-
[32]
Lionello, G., Sirieix, C., & Baleani, M. (2014). An effective procedure to create a speckle pattern on biological soft tissue for digital image correlation measurements. Journal of the Mechanical Behavior of Biomedical Materials, 39, 1–
work page 2014
-
[33]
https://doi.org/10.1016/j.jmbbm.2014.07.007
-
[34]
Palanca, M., Tozzi, G., & Cristofolini, L. (2015). The use of digital image correlation in the biomechanical area: A Review. International Biomechanics, 3(1), 1–21. https://doi.org/10.1080/23335432.2015.1117395
-
[35]
Reu, P. (2015). DIC: A revolution in experimental mechanics. Experimental Techniques, 39(6), 1–2. https://doi.org/10.1111/ext.12173
-
[36]
Kelleher, J. E., & Gloeckner, P. J. (2016). An applications-oriented measurement system analysis of 3D Digital Image Correlation. Advancement of Optical Methods in Experimental Mechanics, Volume 3, 127–134. https://doi.org/10.1007/978-3-319-41600-7_15 21
-
[37]
Ke, X.-D., Schreier, H. W., Sutton, M. A., & Wang, Y. Q. (2011). Error assessment in stereo-based deformation measurements. Experimental Mechanics, 51(4), 423–441. https://doi.org/10.1007/s11340-010-9450-3
-
[38]
Zhu, C., Yu, S., Liu, C., Jiang, P., Shao, X., & He, X. (2019). Error estimation of 3D reconstruction in 3D Digital Image Correlation. Measurement Science and Technology, 30(2), 025204. https://doi.org/10.1088/1361-6501/aaf846
-
[39]
Titkov, V. V., & Panin, S. V. (2019). Measurement affecting errors in digital image correlation. IOP Conference Series: Materials Science and Engineering, 511, 012018. https://doi.org/10.1088/1757-899x/511/1/012018
-
[40]
Matson, A., Konow, N., Miller, S., Konow, P. P., & Roberts, T. J. (2012). Tendon material properties vary and are interdependent among turkey hindlimb muscles. Journal of Experimental Biology. https://doi.org/10.1242/jeb.072728
-
[41]
K., Fujisaki, K., Vanderby, R., & Vailas, A
Graf, B. K., Fujisaki, K., Vanderby, R., & Vailas, A. C. (1992). The effect of in situ freezing on rabbit patellar tendon. The American Journal of Sports Medicine, 20(4), 401–405. https://doi.org/10.1177/036354659202000406
-
[42]
Lee, G., Kumar, A., Berkson, E., Verma, N., Bach, B., & Hallab, N. (2009). A biomechanical analysis of bone-patellar tendon-bone grafts after repeat freeze-thaw cycles in a cyclic loading model. Journal of Knee Surgery, 22(02), 111–113. https://doi.org/10.1055/s-0030-1247734
-
[43]
Chen, L., Wu, Y., Yu, J., Jiao, Z., Ao, Y., Yu, C., Wang, J., & Cui, G. (2011). Effect of repeated freezing–thawing on the Achilles tendon of Rabbits. Knee Surgery, Sports Traumatology, Arthroscopy, 19(6), 1028–1034. https://doi.org/10.1007/s00167-010-1278-y
-
[44]
Tonge, T. K., Murienne, B. J., Coudrillier, B., Alexander, S., Rothkopf, W., & Nguyen, T. D. (2013). Minimal preconditioning effects observed for inflation tests of planar tissues. Journal of Biomechanical Engineering, 135(11). https://doi.org/10.1115/1.4025105
-
[45]
Boyce, B. L., Grazier, J. M., Jones, R. E., & Nguyen, T. D. (2008). Full-field deformation of bovine cornea under constrained inflation conditions. Biomaterials, 29(28), 3896–3904. https://doi.org/10.1016/j.biomaterials.2008.06.011
-
[46]
Myers, K. M., Coudrillier, B., Boyce, B. L., & Nguyen, T. D. (2010). The inflation response of the posterior bovine sclera. Acta Biomaterialia, 6(11), 4327–4335. https://doi.org/10.1016/j.actbio.2010.06.007
-
[47]
Chambard, J.P., Jaminion, S., Tazeroualti, M., Christophe Galerne. François Hild. (2009). 3D displacement field measurement by digital image correlation – Metrological study and application to composite structures. JNC 16, Jun 2009, Toulouse, France, 8 p. hal-00385770
work page 2009
-
[48]
Sutton, M.A., Orteu, J.-J., Schreier, H.W. (2009). Image Correlation for Shape. Motion and Deformation Measurements – Basic Concepts. Theory and Applications. Springer-Verlag New York Inc., ISBN 978-0-387-78746-6
work page 2009
-
[49]
Fung, Y. (1967). Elasticity of soft tissues in simple elongation. American Journal of Physiology-Legacy Content, 213(6), 1532–1544. https://doi.org/10.1152/ajplegacy.1967.213.6.1532
-
[50]
Tong, P., & Fung, Y.-C. (1976). The stress-strain relationship for the skin. Journal of Biomechanics, 9(10), 649–657. https://doi.org/10.1016/0021-9290(76)90107-x
-
[51]
Humphrey, J. D., & Yin, F. C. (1987). A new constitutive formulation for characterizing the mechanical behavior of soft tissues. Biophysical Journal, 52(4), 563–570. https://doi.org/10.1016/s0006-3495(87)83245-9
-
[52]
Hartmann, S., & Neff, P. (2003). Polyconvexity of generalized polynomial-type hyperelastic strain energy functions for near-incompressibility. International Journal of Solids and Structures, 40(11), 2767–2791. https://doi.org/10.1016/s0020-7683(03)00086-6
-
[53]
Fung, Y.C. (1993). Biomechanics: Mechanical Properties of Living Tissues. 2nd ed., Springer-Verlag, New York. https://doi.org/10.1007/978-1-4757-2257-4
-
[54]
C., Fronek, K., & Patitucci, P
Fung, Y. C., Fronek, K., & Patitucci, P. (1979). Pseudoelasticity of arteries and the choice of its mathematical expression. American Journal of Physiology-Heart and Circulatory Physiology, 237(5). https://doi.org/10.1152/ajpheart.1979.237.5.h620
-
[55]
LabelRankT: Incremental Community Detection in Dynamic Networks via Label Propagation
Martins, P. A., Natal Jorge, R. M., & Ferreira, A. J. (2006). A comparative study of several material models for prediction of hyperelastic properties: Application to silicone‐rubber and soft tissues. Strain, 42(3), 135–147. https://doi.org/10.1111/j.1475-1305.2006.00257.x
work page internal anchor Pith review Pith/arXiv arXiv doi:10.1111/j.1475-1305.2006.00257.x 2006
-
[56]
Holzapfel, G.A., Gasser, T.C., Ogden, R.W. (2001). A new Constitutive Framework for Arterial Wall Mechanics and a Comparative Study of Material Models. In: Cowin, S.C., Humphrey, J.D. (eds) Cardiovascular Soft Tissue Mechanics. Springer, Dordrecht. https://doi.org/10.1007/0-306-48389-0_1
-
[57]
Nolan, D. R., Gower, A. L., Destrade, M., Ogden, R. W., & McGarry, J. P. (2014). A robust anisotropic hyperelastic formulation for the modelling of soft tissue. Journal of the Mechanical Behavior of Biomedical Materials, 39, 48–60. https://doi.org/10.1016/j.jmbbm.2014.06.016
-
[58]
Chanda, A., & Unnikrishnan, V. (2018). Anisotropic soft composite based hyperelastic model. American Society for Composites 2018. https://doi.org/10.12783/asc33/26119
-
[59]
Dong, Y. L., & Pan, B. (2017). A review of speckle pattern fabrication and assessment for digital image correlation. Experimental Mechanics, 57(8), 1161–1181. https://doi.org/10.1007/s11340-017-0283- 22 Appendix A — DIC Uncertainty Quantification This appendix provides the detailed procedures and analyses performed to quantify the uncertainty associated w...
-
[60]
Reprojection error: stable across calibrations
-
[61]
Epipolar consistency: no measurable drift across trials
-
[62]
These metrics confirm the stability of the camera geometry and reconstruction mapping
Rigid-body checks on undeformed images: no spurious displacement fields observed. These metrics confirm the stability of the camera geometry and reconstruction mapping. A.4 Numerical Sensitivity Analysis Using Synthetic Data 23 To quantify the influence of geometric measurement noise on constitutive parameter identification, synthetic bulge-test datasets ...
-
[63]
A reference spherical deformation was computed for a Neo–Hookean membrane with known material parameter
-
[64]
Random perturbations of up to ±20% were added to the out-of-plane displacement field to mimic DIC-related noise
-
[65]
Perturbed surfaces were reprocessed to extract curvature, stretches and pressure–stretch curves
-
[66]
The identification algorithm was applied to recover the material parameter. Across all perturbation levels, the relative deviation of the identified parameter remained below 2%, demonstrating strong robustness of the stretch computation and identification pipeline to geometric noise. A.6 Summary of DIC-Related Uncertainties Considering all specimens and a...
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.