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

Modeling fatigue damage evolution in bone.

R M Pidaparti1, Q Y Wang, D B Burr

  • 1Department of Mechanical Engineering, Purdue University, Indianapolis, Indiana 46202, USA. ramana@engr.iupui.edu

Bio-Medical Materials and Engineering
|May 16, 2001
PubMed
Summary
This summary is machine-generated.

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

[The role of water-soluble vitamin for injection in determining ureteral patency by cystoscopy in transvaginal high uterosacral ligament suspension procedure].

Zhonghua fu chan ke za zhi·2026
Same author

[Value of a deep learning-based visual model for predicting postoperative upper limb functional recovery after severe acute cervical spinal cord injury].

Zhonghua yi xue za zhi·2026
Same author

[Epidemiological characteristics of test-negative severe acute respiratory infections during the 2024-2025 surveillance years in Beijing].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi·2026
Same author

Cost-effective genomic prediction for fertility traits: a comparison of machine learning and conventional models using low-coverage sequencing in Holstein heifers.

Animal : an international journal of animal bioscience·2026
Same author

[Association of maternal prepregnancy overweight and gestational diabetes with autistic-like behaviors in children].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi·2026
Same author

[Impact of donor characteristics on prognosis for myelodysplastic syndromes after haplo-identical transplantation: a retrospective study].

Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi·2025
Same journal

Experimental study on deantigenization and trabecular structure effects on bovine cancellous bone compression.

Bio-medical materials and engineering·2026
Same journal

Effects of dentin extract without demineralization on migration and angiogenic potential of human umbilical vein endothelial cells.

Bio-medical materials and engineering·2026
Same journal

Measurement of thermal expansion coefficient of melanin for photoacoustic technology.

Bio-medical materials and engineering·2026
Same journal

Development of chitosan-selenium nanoparticle modified brushite cement: A potential strategy for improved clinical performance in bone regeneration.

Bio-medical materials and engineering·2026
Same journal

Electrostatic layer-by-layer assembly for fabricating morphology-controlled hydroxyapatite/zirconia composite with enhanced osteogenic performance.

Bio-medical materials and engineering·2026
Same journal

The antitumor activity of bismuth lipophilic nanoparticles (BisBAL NPs) on human glioblastoma is higher than temozolomide.

Bio-medical materials and engineering·2026
See all related articles

This study presents a new analytical model for bone fatigue damage, using microcracks to predict bone health. The model aids in understanding fatigue life and failure stress, crucial for bone mechanics research.

Area of Science:

  • Biomedical Engineering
  • Materials Science
  • Mechanical Engineering

Background:

  • Bone fatigue is a critical factor in skeletal health and implant longevity.
  • Understanding microcrack accumulation is essential for predicting bone failure.
  • Existing models may not fully capture the probabilistic nature of bone fatigue damage.

Purpose of the Study:

  • To develop a simple analytical model for bone fatigue damage evolution.
  • To characterize damage accumulation using a probabilistic method focusing on microcracks.
  • To establish a quantitative relationship between mechanical properties and microdamage.

Main Methods:

  • Development of a probabilistic analytical model for bone fatigue.
  • Utilizing Monte Carlo simulations to obtain crack numerical density distributions.

Related Experiment Videos

  • Fitting crack density data using a Weibull distribution.

    • Main Results:

    • The model predicts damage evolution in bone fatigue based on microcrack accumulation.
    • Comparison of model predictions with existing experimental data validates the approach.
    • A quantitative relationship between stiffness loss, loading cycles, and a microdamage parameter was established.

    Conclusions:

    • The developed analytical model provides a framework for understanding bone fatigue.
    • The probabilistic approach effectively characterizes microcrack-induced damage.
    • The established quantitative relationships can aid in predicting bone fatigue life and failure stress.