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Cartilage Stresses in the Human Hip Joint

Macirowski, Thomas, Tepic, Slobodan, Mann, Robert W.·1994·Journal of Biomechanical Engineering

Abstract

The total surface stress measured in vitro on acetabular cartilage when step-loaded by an instrumented hemiprosthesis are partitioned into fluid and cartilage network stresses using a finite element model of the cartilage layer and measurements of the layer consolidation. The finite element model is based on in situ measurements of cartilage geometry and constitutive properties. Unique instrumentation was employed to collect the geometry and constitutive properties and pressure and consolidation data. When loaded, cartilage consolidates and exudes its interstitial fluid through and from its solid network into the interarticular gap. The finite element solutions include the spatial distributions of fluid and network stresses, the normal flow velocities into the gap, and the contact network stresses at the cartilage surface, all versus time. Even after long-duration application of physiological-level force, fluid pressure supports 90 percent of the load with the cartilage network stresses remaining well below the drained modulus of cartilage. The results support the “weeping” mechanism of joint lubrication proposed by McCutchen.

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Metadata

Authors
Macirowski, T., Tepic, S., & Mann, R. W.
Venue
Journal of Biomechanical Engineering
Published
1994-02-01
Volume
116
Issue
1
Pages
10-18
ISSN
  • 0148-0731 (ISSN-L)
  • 1528-8951
OpenAlex
W1985603154
Cited by
208
References
0
FWCI
5.35
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Cartilage Stresses in the Human Hip Joint. https://app.cochat.ai/papers/10.1115/1.2895693
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Macirowski, T., Tepic, S., & Mann, R. W. (1994). Cartilage Stresses in the Human Hip Joint. Journal of Biomechanical Engineering. https://doi.org/10.1115/1.2895693

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.