Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Development of fatigue lifetime predictive test methods for hip implants: part I. Test methodology

C M Styles1, S L Evans, P J Gregson

  • 1Engineering Materials Department, University of Southampton, UK.

Biomaterials
|August 6, 1998
PubMed
Summary

Accelerated fatigue testing for hip implants is crucial for predicting the lifespan of next-generation devices. Introducing realistic overloads significantly reduces fatigue life, informing better implant design and longevity predictions.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Hierarchical biomechanical characterisation of riboflavin-UVA crosslinking and decorin treatment in the porcine cornea.

Frontiers in bioengineering and biotechnology·2025
Same author

MRI data sharing in psychosis: Key challenges and a new Open Access resource for researchers.

Schizophrenia research·2025
Same author

Rapid, non-invasive, <i>in vivo</i> measurement of tissue mechanical properties using gravitational loading and a nonlinear virtual fields method.

Journal of the Royal Society, Interface·2023
Same author

MRI safety, imaging artefacts, and grid distortion evaluated for FFP3 respiratory masks worn throughout the COVID-19 pandemic.

Clinical radiology·2022
Same author

Review of decontamination protocols for shared non-critical objects in 35 policies of UK NHS acute care organizations.

The Journal of hospital infection·2021
Same author

Evening preference correlates with regional brain volumes in the anterior occipital lobe.

Chronobiology international·2021

Area of Science:

  • Biomaterials Science
  • Mechanical Engineering
  • Orthopedic Surgery

Background:

  • Hip joint prostheses failure is a growing concern, especially for younger, active patients receiving second-generation implants.
  • Novel implant designs and materials, including coatings like hydroxyapatite, may present new, unaddressed fatigue challenges.
  • Current methods for predicting hip implant lifespan require enhancement to account for complex in-service loading conditions.

Purpose of the Study:

  • To develop and validate accelerated fatigue testing procedures for hip joint prostheses.
  • To investigate the impact of simulated in-service overloads on the fatigue life of hip implants.
  • To create a more accurate variable amplitude load spectrum for hip implant fatigue testing.

Main Methods:

Related Experiment Videos

  • Utilized a model four-point bendbar testpiece made of mill-annealed Ti-6Al-4V.
  • Conducted accelerated fatigue tests in a physiological solution (Ringer's at 37°C).
  • Introduced superimposed block overloads (stair ascent/descent, fast walking) and single overloads (sit/stand, stumbling).
  • Combined fatigue testing findings with biomechanics studies and ambulatory trial data to develop a variable amplitude load spectrum.

    • Main Results:

    • Accelerated fatigue testing must be performed in a physiological environment (Ringer's solution at 37°C).
    • The introduction of block and single overloads reduced fatigue life by over 50%.
    • A load sequence simulating one day of activity was designed, incorporating specific frequencies for single and block overloads based on ambulatory data.

    Conclusions:

    • The developed accelerated testing procedures provide a more realistic assessment of hip implant fatigue life.
    • Simulated overloads significantly decrease implant fatigue life, highlighting the importance of considering dynamic loading conditions.
    • The study provides a foundation for improved hip implant design and lifetime prediction methodologies, crucial for active patient populations.