Finite element modeling of finite deformable, biphasic biological tissues with transversely isotropic statistically distributed fibers: Toward a practical solution

Details

• Personal Author:
  Federico S ; Herzog W ; Wu, John Z.
• Description:
  The distribution of collagen fibers across articular cartilage layers is statistical in nature. Based on the concepts proposed in previous models, we developed a methodology to include the statistically distributed fibers across the cartilage thickness in the commercial FE software COMSOL which avoids extensive routine programming. The model includes many properties that are observed in real cartilage: finite hyperelastic deformation, depth-dependent collagen fiber concentration, depth- and deformation-dependent permeability, and statistically distributed collagen fiber orientation distribution across the cartilage thickness. Numerical tests were performed using confined and unconfined compressions. The model predictions on the depth-dependent strain distributions across the cartilage layer are consistent with the experimental data in the literature. [Description provided by NIOSH]
• Subjects:
  Accident Prevention Accidents Accidents, Occupational Maintenance Mining Occupational Health Safety
• Keywords:
  Author Keywords: Articular Cartilage; Collagen Fibers; Finite Element Model; Biphasic Model; Finite Deformation Models; Biological Effects; Tissue Culture; Collagen Fibrils; Fibers;
• ISSN:
  0044-2275
• Document Type:
  Text
• Genre:
  Journal Article
• Place as Subject:
  OSHA Region 3 ; West Virginia
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  HELD - Health Effects Laboratory Division
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  26
• Volume:
  67
• Issue:
  2
• NIOSHTIC Number:
  nn:20047904
• Citation:
  Z Angew Math Phys 2016 Apr; 67(2):26
• Contact Point Address:
  John Wu, National Instutute for Occupational Safety and Health, 1095 Willowdale Rd., Morgantown, WV 26505
• Email:
  JWu@cdc.gov
• Federal Fiscal Year:
  2016
• NORA Priority Area:
  Manufacturing
• Peer Reviewed:
  True
• Source Full Name:
  Zeitschrift für angewandte Mathematik und Physik
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:6691c1f98c9b43901adb902595ad1ea43854d42d9c24beb17899e1bb964ec1f5e1ce1e80ef805e9fe5cb6d1fad4c4cb9c38bd138936904c10149c4b2038f3a27
• Download URL:
  https://stacks.cdc.gov/view/cdc/229497/cdc_229497_DS1.pdf
• File Type:
  [PDF - 2.46 MB ]