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International Journal for Multiscale Computational Engineering

Published 6 issues per year

ISSN Print: 1543-1649

ISSN Online: 1940-4352

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.4 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.3 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 2.2 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00034 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.46 SJR: 0.333 SNIP: 0.606 CiteScore™:: 3.1 H-Index: 31

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Subject-Specific p-FE Analysis of the Proximal Femur Utilizing Micromechanics-Based Material Properties

Volume 6, Issue 5, 2008, pp. 483-498
DOI: 10.1615/IntJMultCompEng.v6.i5.70
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ABSTRACT

Novel subject-specific high-order finite element models of the human femur based on computer tomographic (CT) data are discussed with material properties determined by two different methods, empirically based and micromechanics based, both being determined from CT scans. The finite element (FE) results are validated through strain measurements on a femur harvested from a 54-year-old female. To the best of our knowledge, this work is the first to consider an inhomogeneous Poisson ratio and the first to compare results obtained by micromechanics-based material properties to experimental observations on a whole organ. We demonstrate that the FE models with the micromechanics-based material properties yield results which closely match the experimental observations and are in accordance with the empirically based FE models. Because the p-FE micromechanics-based results match independent experimental observations and may provide access to patient-specific distribution of the full elasticity tensor components, it is recommended to use a micromechanics-based method for subject-specific structural mechanics analyses of a human femur.

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  2. Trabelsi Nir, Yosibash Zohar, Patient-Specific Finite-Element Analyses of the Proximal Femur with Orthotropic Material Properties Validated by Experiments, Journal of Biomechanical Engineering, 133, 6, 2011. Crossref

  3. Zboinski Grzegorz, Adaptive hpq finite element methods for the analysis of 3D-based models of complex structures. Part 1. Hierarchical modeling and approximations, Computer Methods in Applied Mechanics and Engineering, 199, 45-48, 2010. Crossref

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  6. Scheiner Stefan, Pivonka Peter, Hellmich Christian, Coupling systems biology with multiscale mechanics, for computer simulations of bone remodeling, Computer Methods in Applied Mechanics and Engineering, 254, 2013. Crossref

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  8. Luisier B., Dall'Ara E., Pahr D.H., Orthotropic HR-pQCT-based FE models improve strength predictions for stance but not for side-way fall loading compared to isotropic QCT-based FE models of human femurs, Journal of the Mechanical Behavior of Biomedical Materials, 32, 2014. Crossref

  9. Geraldes Diogo M., Phillips Andrew T. M., A comparative study of orthotropic and isotropic bone adaptation in the femur, International Journal for Numerical Methods in Biomedical Engineering, 30, 9, 2014. Crossref

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  12. Geraldes Diogo M., Modenese Luca, Phillips Andrew T. M., Consideration of multiple load cases is critical in modelling orthotropic bone adaptation in the femur, Biomechanics and Modeling in Mechanobiology, 15, 5, 2016. Crossref

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  14. Fish Jacob, Hu Nan, Multiscale modeling of femur fracture, International Journal for Numerical Methods in Engineering, 111, 1, 2017. Crossref

  15. Hasslinger Patricia, Vass Viktoria, Dejaco Alexander, Blanchard Romane, Örlygsson Gissur, Gargiulo Paolo, Hellmich Christian, Coupling multiscale X-ray physics and micromechanics for bone tissue composition and elasticity determination from micro-CT data, by example of femora from OVX and sham rats, International Journal for Computational Methods in Engineering Science and Mechanics, 17, 3, 2016. Crossref

  16. Nguyen Lam, Stoter Stein, Baum Thomas, Kirschke Jan, Ruess Martin, Yosibash Zohar, Schillinger Dominik, Phase‐field boundary conditions for the voxel finite cell method: Surface‐free stress analysis of CT‐based bone structures, International Journal for Numerical Methods in Biomedical Engineering, 33, 12, 2017. Crossref

  17. Lu Yongtao, Engelke Klaus, Glueer Claus-C, Morlock Michael M, Huber Gerd, The effect of in situ/in vitro three-dimensional quantitative computed tomography image voxel size on the finite element model of human vertebral cancellous bone, Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 228, 11, 2014. Crossref

  18. Ramlee Muhammad Hanif, Sulong Mohd Ayub, Garcia-Nieto Evelyn, Penaranda Daniel Angure, Felip Antonio Ros, Kadir Mohammed Rafiq Abdul, Biomechanical features of six design of the delta external fixator for treating Pilon fracture: a finite element study, Medical & Biological Engineering & Computing, 56, 10, 2018. Crossref

  19. Yosibash Zohar, Trabelsi Nir, Reliable Patient-Specific Simulations of the Femur, in Patient-Specific Modeling in Tomorrow's Medicine, 09, 2011. Crossref

  20. Dahan Gal, Trabelsi Nir, Safran Ori, Yosibash Zohar, Finite element analyses for predicting anatomical neck fractures in the proximal humerus, Clinical Biomechanics, 68, 2019. Crossref

  21. Ruiz Wills Carlos, Olivares Andy Luis, Tassani Simone, Ceresa Mario, Zimmer Veronika, González Ballester Miguel A., del Río Luis Miguel, Humbert Ludovic, Noailly Jérôme, 3D patient-specific finite element models of the proximal femur based on DXA towards the classification of fracture and non-fracture cases, Bone, 121, 2019. Crossref

  22. Toniolo Ilaria, Salmaso Claudia, Bruno Giovanni, De Stefani Alberto, Stefanini Cesare, Gracco Antonio Luigi Tiberio, Carniel Emanuele Luigi, Anisotropic computational modelling of bony structures from CT data: An almost automatic procedure, Computer Methods and Programs in Biomedicine, 189, 2020. Crossref

  23. Alcântara Amadeus C. S., Assis Israel, Prada Daniel, Mehle Konrad, Schwan Stefan, Costa-Paiva Lúcia, Skaf Munir S., Wrobel Luiz C., Sollero Paulo, Patient-Specific Bone Multiscale Modelling, Fracture Simulation and Risk Analysis—A Survey, Materials, 13, 1, 2019. Crossref

  24. Hellmich Christian, Ukaj Niketa, Smeets Bart, van Oosterwyck Hans, Filipovic Nenad, Zelaya-Lainez Luis, Kalliauer Johannes, Scheiner Stefan, Hierarchical Biomechanics: Concepts, Bone as Prominent Example, and Perspectives Beyond, Applied Mechanics Reviews, 74, 3, 2022. Crossref

  25. Fleps Ingmar, Morgan Elise F., A Review of CT-Based Fracture Risk Assessment with Finite Element Modeling and Machine Learning, Current Osteoporosis Reports, 20, 5, 2022. Crossref

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