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International Journal for Multiscale Computational Engineering
Jacob Fish (open in a new tab) Department of Civil Engineering and Engineering Mechanics, Columbia University, New York, New York 10027, USA
J. Tinsley Oden (open in a new tab) Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712, USA
Somnath Ghosh (open in a new tab) Departments of Civil & Systems Engineering, Mechanical Engineering, and Material Science Engineering, Johns Hopkins University, Baltimore, MD, USA
Arif Masud (open in a new tab) Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, 3129E Newmark Civil Engineering Laboratory, MC-250, Urbana, Illinois 61801-2352, USA
Klaus Hackl (open in a new tab) Institute of Mechanics of Materials, Ruhr-University Bochum, Bochum, 44721, Germany
Karel Matous (open in a new tab) Department of Aerospace and Mechanical Engineering, Center for Shock Wave-Processing of Advanced Reactive Materials, University of Notre Dame, Notre Dame, Indiana 46556, USA
Thomas J.R. Hughes (open in a new tab) Institute for Computational Engineering and Sciences (ICES), The University of Texas at Austin, 201 East 24th Street, C0200, Austin, TX 78712-1229, USA
Caglar Oskay (open in a new tab) Department of Civil and Environmental Engineering, Vanderbilt University, Nashville, Tennessee 37235, USA
Tamar Schlick (open in a new tab) Department of Chemistry, New York University, New York, New York 10003, USA; Courant Institute of Mathematical Sciences, New York University, New York, New York, 10012, USA; NYU-ECNU Center for Computational Chemistry, NYU Shanghai, China
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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SPECIFICALLY TAILORED USE OF THE FINITE ELEMENT METHOD TO STUDY MUSCULAR MECHANICS WITHIN THE CONTEXT OF FASCIAL INTEGRITY: THE LINKED FIBER-MATRIX MESH MODEL

pages 155-170
DOI: 10.1615/IntJMultCompEng.2011002356
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RÉSUMÉ

In addition to providing a great advantage that geometrically highly complex structures can be modeled, the finite element method also allows addressing complex mechanics concepts such as nonlinear material properties and large deformations. These capabilities are highly valuable for studying skeletal muscle mechanics and were successfully implemented by several researchers. Certainly, those models made an important contribution to our understanding of fundamental muscle physiology. A common modeling consideration was that the myotendinous force transmission was regarded as the exclusive mechanism of exertion of muscle force. However, if muscular structures are considered to operate within the context of fascial integrity (the condition in vivo), additional mechanical connections, hence force transmission pathways to the myotendinous ones must be taken into account, i.e., (i) muscle fibers and intramuscular connective tissue stroma are connected to each other not only at the ends but also along the full length of the muscle fibers and (ii) in vivo muscle is not an isolated entity, i.e., direct collagenous linkages exist between epimysia of adjacent muscles and fascial structures (e.g., neurovascular tracts, compartmental boundaries) and provide connections between muscular and nonmuscular structures at several locations additional to the muscle's tendinous insertion and origin. These nonmyotendious connections have been shown to transmit substantial amounts of muscle force, i.e., intra- and epimuscular myofascial force transmission. The linked fiber-matrix mesh (LFMM) model was designed specifically to study muscular mechanics within the context of fascial integrity, i.e., (i) two separate but elastically linked meshes representing muscle fiber and extracellular matrix domains were used to model muscle tissue and (ii) muscles' epimuscular connections were accounted for. Therefore, it was aimed at addressing the effects of intra- and epimuscularly myofascial force transmission on muscular mechanics, e.g., changes in sarcomere lengths. The goal of this article is to provide a comprehensive description of the LFMM model and to review its contribution to muscular mechanics.

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