Fatigue performance of composite analogue femur constructs under high activity loading

Alexander C.M. Chong, Elizabeth A. Friis, Gregory P. Ballard, Peter J. Czuwala, Francis W. Cooke

Research output: Contribution to journalArticlepeer-review

47 Scopus citations


Synthetic mechanical analogue bone models are valuable tools for consistent analysis of implant performance in both equilibrium and fatigue biomechanical testing. Use of these models has previously been limited by the poor fatigue performance when tested under realistic service loads. An objective was to determine whether a new analogue bone model (Fourth-Generation) using enhanced analogue cortical bone provides significantly improved resistance to high load fracture and fatigue as compared to the current (Third-Generation) bone models in clinically relevant in situ type testing of total hip implants. Six Third-Generation and six Fourth-Generation mechanical analogue proximal femur models were implanted with a cemented mock hip arthroplasty. Each specimen was loaded at 5 Hz in simulated one-legged stance under load control with a maximum compressive load of 2670 N and load ratio of 0.1. Average complete structural failure in Third-Generation femurs occurred at 3.16 million cycles; all specimens exhibited substantial displacement and crazing at well below 3 million cycles. In contrast, all Fourth-Generation femurs sustained 10 million cycles without complete structural failure and showed little change in actuator deflection. The Fourth-Generation femur model performance was sufficient to allow the model to be used in biomechanically relevant load bearing levels with an intramedullary device without model compromise that would affect test results.

Original languageEnglish (US)
Pages (from-to)1196-1205
Number of pages10
JournalAnnals of biomedical engineering
Issue number7
StatePublished - Jul 2007
Externally publishedYes


  • Analogue femur
  • Bone model
  • Composite
  • Cortical bone
  • Fatigue

ASJC Scopus subject areas

  • Biomedical Engineering


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