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April 21, 2026Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials0 citationsOpen Access

From theory to tissue: Constitutive modeling and underlying assumptions in cartilage biomechanics

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RARenaud E.V.I. AmoakonALAriane Lavoie-HudonMGMartine Gagnon

Key Points

  • This review aims to evaluate the current state of cartilage constitutive models and their physiological representation.
  • Conducted a scoping review of 84 studies on cartilage constitutive models from 1995 to 2025.
  • Classified models into monophasic, biphasic, and triphasic families and assessed them using a structured appraisal framework.
  • Analyzed the inclusion of physiological features and model validation practices.
  • Biphasic models are predominant, while triphasic models effectively capture osmotic and electrochemical effects.
  • Key phenomena like stress relaxation were reported in 86.9% of studies, whereas electrochemical coupling was only included in 16.7%.
  • Most studies showed strong model coherence but lacked rigorous verification, validation, and solver reporting.

Abstract

Articular cartilage is a charged, multiphasic tissue whose mechanical response emerges from coupled solid–fluid–ion interactions. Modeling this complexity remains a major challenge in computational biomechanics. This scoping review maps cartilage constitutive models and provides a structured, mechanics-informed appraisal of their physiological representation, constitutive assumptions, and numerical implementation practices. Database searches (1995–2025) identified 84 eligible studies. Models were classified into monophasic, biphasic, triphasic, and other constitutive families. To systematically assess modeling assumptions, a mechanics-oriented appraisal framework structured around five evaluation axes (M1–M5) was applied, addressing constitutive closure, dissipative mechanisms, internal physical admissibility constraints, model–problem coherence, and verification/validation practices. Biphasic models dominate current practice, whereas triphasic formulations better capture osmotic and electrochemical effects. Physiological features were represented unevenly across studies: stress relaxation (86.9%), fluid exudation (69.0%), strain-dependent permeability (48.8%), zonal anisotropy (51.2%), and electrochemical coupling (16.7%). Degeneration mechanisms were incorporated in only 23.8% of studies. Across the corpus, most models demonstrated strong model–problem coherence but frequently lacked explicit admissibility constraints and robust verification and validation practices. Numerical transparency was also limited: although software platforms were often reported, solver configuration, convergence criteria, and computational cost were rarely specified. These findings highlight a persistent gap between constitutive sophistication and empirical validation. Advancing predictive cartilage modeling will require closer integration between constitutive formulation, experimental validation, parameter identifiability, and reproducible numerical implementation. • Scoping review of 84 cartilage constitutive models (1995–2025). • Mechanics-oriented appraisal grid covering consistency, fidelity, robustness, adequacy, validation. • Quantifies key phenomena: relaxation, exudation, anisotropy, permeability. • Identifies major gaps in reporting of solvers, convergence and runtimes.

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Cite This Study

Amoakon et al. (2026) studied this question.

synapsesocial.com/papers/69e7138bcb99343efc98cfe0https://doi.org/10.1016/j.jmbbm.2026.107442
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