Open Access
MATEC Web Conf.
Volume 329, 2020
International Conference on Modern Trends in Manufacturing Technologies and Equipment: Mechanical Engineering and Materials Science (ICMTMTE 2020)
Article Number 03072
Number of page(s) 9
Section Mechanical Engineering
Published online 26 November 2020
  1. A. Alberich-Bayarri, L. Marti-Bonmati, R. Sanz-Requena, E. Belloch, D. Moratal, In vivo trabecular bone morphologic and mechanical relationship using high-resolution 3-T MRI, Am. J. Roentgenol, 191(3), 721-726 (2008), doi:10.2214/AJR.07.3528. [Google Scholar]
  2. M. Prez, P.-A. Vendittoli, M. Lavigne, N. Nuo, Bone remodeling in the resurfaced femoral head: effect of cement mantle thickness and interface characteristic, Med. Eng. Phys., 36(2), 185-195 (2014), doi:10.1016/j.medengphy.2013.10.013. [Google Scholar]
  3. A.N. Natali, P.G. Pavan, A.L. Ruggero, Evaluation of stress induced in peri-implant bone tissue by misfit in multi-implant prosthesis, Dent. Mater. Off. Publ. Acad. Dent. Mater., 22(4), 388-395 (2006), doi:10.1016/ [Google Scholar]
  4. T. Baltina, N. Ahmetov, O. Sachenkov, A. Fedyanin, I. Lavrov, The Influence of Hindlimb Unloading on Bone and Muscle Tissues in Rat Model, BioNanoScience, 7(1), 67-69 (2017), doi:10.1007/s12668-016-0288-8. [Google Scholar]
  5. O.A. Sachenkov, R.F. Hasanov, P.S. Andreev, Yu.G. Konoplev, Numerical study of stress-strain state of pelvis at the proximal femur rotation osteotomy, Russ. J. Biomech., 20(3), 220-232 (2016), doi:10.15593/RJBiomech/2016.3.06. [Google Scholar]
  6. O. Sachenkov, R. Hasanov, P. Andreev, Y. Konoplev, Determination of muscle effort at the proximal femur rotation osteotomy, IOP Conf. Ser. Mater. Sci. Eng., 158(1), 012079 (2016). [CrossRef] [Google Scholar]
  7. R.A. Kayumov, I.Z. Muhamedova, B.F. Tazyukov, F.R. Shakirzjanov, Parameter determination of hereditary models of deformation of composite materials based on identification method, J. Phys. Conf. Ser., 973(1), 012006 (2018), doi:10.1088/1742-6596/973/1/012006. [Google Scholar]
  8. R.A. Kayumov, Structure of nonlinear elastic relationships for the highly anisotropic layer of a nonthin shell, Mech. Compos. Mater., 35(5), 409-418 (1999), doi:10.1007/BF02329327. [Google Scholar]
  9. V.V. Yaikova, Gerasimov O.V., A.O. Fedyanin, M.A. Zaytsev, M.E. Baltin, T.V. Baltina, O.A. Sachenkov, Automation of bone tissue histology, Front. Phys., 7(JUN), 91 (2019), doi:10.3389/fphy.2019.00091. [Google Scholar]
  10. N.V. Kharin, O.V. Vorobyev, D.V. Berezhnoi, O.A. Sachenkov, Construction of a representative model based on computed tomography, PNRPU Mech. Bull., 3, 95-102 (2018), doi:10.15593/perm.mech/2018.3.10. [Google Scholar]
  11. P. Marcián, J. Wolff, L. Horáčková, J. Kaiser, T. Zikmund, L. Borák, Micro finite element analysis of dental implants under different loading conditions, Comput. Biol., 96, 157-165 (2018), doi:10.1016/j.compbiomed.2018.03.012. [Google Scholar]
  12. N. Kharin, O. Vorob’yev, P. Bolshakov, O. Sachenkov, Determination of the orthotropic parameters of a representative sample by computed tomography, J. Phys. Conf. Ser., 1158(3), 032012 (2019). [Google Scholar]
  13. O.A. Sachenkov, O.V. Gerasimov, E.V. Koroleva, D.A. Mukhin, V.V. Yaikova, I.F. Akhtyamov, F.V. Shakirova, D.A. Korobeynikova, H.Ch. Khan, Building the inhomogeneous finite element model by the data of computed tomography, Russ. J. Biomech., 22(3), 291-303 (2018), doi:10.15593/RJBiomeh/2018.3.05. [Google Scholar]
  14. A.A. Kichenko, V.M. Tverier, Y.I. Nyashin, A.A. Zaborskikh, Experimental determination of the fabric tensor for cancellous bone tissue, Russ. J. Biomech., 15(4), 66-81 (2011). [Google Scholar]
  15. A. Ridwan-Pramana, P. Marcian, L. Borak, N. Narra, T. Forouzanfar, J. Wolff, Finite element analysis of 6 large PMMA skull reconstructions: A multi-criteria evaluation approach, PLoS ONE, 12, e0179325 (2017), doi:10.1371/journal.pone.0179325. [Google Scholar]
  16. G. Maquer, S.N. Musy, J. Wandel, T. Gross, P.K. Zysset, Bone Volume Fraction and Fabric Anisotropy Are Better Determinants of Trabecular Bone Stiffness Than Other Morphological Variables, J. Bone Miner. Res., 30(6), 1000-1008 (2015), doi:10.1002/jbmr.2437. [Google Scholar]
  17. O. Gerasimov, F. Shigapova, Y. Konoplev, O. Sachenkov, The evolution of the bone in the half-plane under the influence of external pressure, IOP Conf. Ser. Mater. Sci. Eng., 158(1), 012037 (2016). [Google Scholar]
  18. A. Tveito, K.H. Jæger, M. Kuchta, K.-A. Mardal, M.E. Rognes, A cell-based framework for numerical modeling of electrical conduction in cardiac tissue, Front. Phys., 5, 48 (2017), doi:10.3389/fphy.2017.00048. [Google Scholar]
  19. G. Legrain, P. Cartraud, I. Perreard, N. Mos, An x-fem and level set computational approach for image-based modelling: application to homogenization, Int. J. Numer. Methods Eng., 86(7), 915-934 (2011), doi:10.1002/nme.3085. [Google Scholar]
  20. L. Giovannelli, J.J. Rodenas, J.M. Navarro-Jimenez, M. Tur, Direct medical image-based Finite Element modelling for patient-specific simulation of future implants, Finite Elem. Anal. Des., 136, 37-47 (2017), doi:10.1016/j.finel.2017.07.010. [Google Scholar]
  21. T.A. Carniel, B. Klahr, E.A. Fancello, On multiscale boundary conditions in the computational homogenization of an RVE of tendon fascicles, J. Mech. Behav. Biomed., 91, 131-138 (2019), doi:10.1016/j.jmbbm.2018.12.003. [Google Scholar]
  22. L. Grassi, E. Schileo, F. Taddei, L. Zani, M. Juszczyk, L. Cristofolini, Accuracy of finite element predictions in sideways load configurations for the proximal human femur, J. Biomech., 45(2), 394-399 (2012), doi:10.1016/j.jbiomech.2011.10.019. [Google Scholar]
  23. O.V. Gerasimov, D.V. Berezhnoi, P.V. Bolshakov, E.O. Statsenko, O.A. Sachenkov, Mechanical model of a heterogeneous continuum based on numerical-digital algorithm processing computer tomography data, Russ. J. Biomech., 23(1), 87-97 (2019). [Google Scholar]
  24. P. Marcián, Z. Florian, L. Horáčková, J. Kaiser, L. Borák, Microstructural finite-element analysis of influence of bone density and histomorphometric parameters on mechanical behavior of mandibular cancellous bone structure, SSP, 258, 362-365 (2017), doi:10.4028/ [Google Scholar]
  25. F. Marwa, E.Y. Wajih, L. Philippe, M. Mohsen, Improved USCT of Paired Bones Using Wavelet-based Image, IJIGSP, 10(9), 1-9 (2018), doi:10.5815/ijigsp.2018.09.01. [Google Scholar]
  26. A.A. Kichenko, V.M. Tverier, Y.I. Nyashin, E.Y. Simanovskaya, A.N. Elovikova, Formation and elaboration of the classical theory of bone tissue structure description, Russ. J. Biomech., 12(1), 66-85 (2008). [Google Scholar]
  27. E. Nadal, J.J. Rodenas, J. Albelda, M. Tur, J.E. Tarancon, F.J. Fuenmayor, Efficient finite element methodology based on cartesian grids: application to structural shape optimization, Abstr. Appl. Anal., 2013, 953786 (2013), doi:10.1155/2013/953786. [Google Scholar]
  28. O. Marco, R. Sevilla, Y. Zhang, J.J. Rodenas, M. Tur, Exact 3d boundary representation in finite element analysis based on Cartesian grids independent of the geometry, Int. J. Numer. Methods Eng., 103(6), 445-468 (2015), doi:10.1002/nme.4914. [Google Scholar]
  29. O.C. Zienkiewicz, J.Z. Zhu, A simple error estimator and adaptive procedure for practical engineering analysis, Int. J. Numer. Methods Eng., 24(2), 337-357 (1987), doi:10.1002/nme.1620240206. [Google Scholar]
  30. K.P.K. Mithun, A. Gauhar, M.R. Mohammad, A.S.M.H. Delowar, Automatically Gradient Threshold Estimation of Anisotropic Diffusion for Meyer’s Watershed Algorithm Based Optimal Segmentation, IJIGSP, 6(12), 26-31 (2014), doi:10.5815/ijigsp.2014.12.04. [Google Scholar]
  31. K.P.K. Mithun, M.R. Mohammad, Metal Artifact Reduction from Computed Tomography (CT) Images using Directional Restoration Filter, IJITCS, 6(6), 47-54 (2014), doi:10.5815/ijitcs.2014.06.07. [Google Scholar]
  32. M. Ruess, D. Tal, N. Trabelsi, Z. Yosibash, E. Rank, The finite cell method for bone simulations: verification and validation, Biomech. Model. Mechanobiol., 11(3-4), 425-437 (2012), doi:10.1007/s10237-011-0322-2. [Google Scholar]
  33. G. Hettich, R.A. Schierjott, H. Ramm, H. Graichen, V. Jansson, M. Rudert, F. Traina, T.M. Grupp, Method for quantitative assessment of acetabular bone defects, J. Orthop. Res., 37(1), 181-189 (2018), doi:10.1002/jor.24165. [Google Scholar]
  34. T.N. Chikova, A.A. Kichenko, V.M. Tverier, Y.I. Nyashin, Biomechanical modelling of trabecular bone tissue in remodelling equilibrium, Russ. J. Biomech., 22(3), 245-253 (2018), doi:10.15593/RJBiomeh/2018.3.01. [Google Scholar]

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