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Title page for etd-0214119-112906


URN etd-0214119-112906 Statistics This thesis had been viewed 57 times. Download 0 times.
Author Hao-wen Chen
Author's Email Address a82011982@gmail.com
Department Mechanical Engineering
Year 2018 Semester 1
Degree Master Type of Document Master's Thesis
Language zh-TW.Big5 Chinese Page Count 65
Title The study of fatigue failure life and crack propagation life prediction on femur bones broken
Keyword
  • Crack propagation life prediction.
  • Bone mineral density
  • Osteoporosis
  • Osteoporosis
  • Bone mineral density
  • Crack propagation life prediction.
  • Abstract In the health check for general national health insurance, there are only some tests for chronic diseases and organ function that occur in older people. There is no item to detect bone density. The elderly often ignore the importance of human bones. When Osteoporosis is known, most of the fractures have occurred in normal life, and the bone density has reached the fourth level of osteoporosis standard set by the World Health Organization (WHO), which is severe osteoporosis. Severe Osteoporosis. It is assumed that the bone density value detected by the medical instrument can be predicted by bone embrittlement or sudden life before fracture. It is a great boon for patients with osteoporosis.
    Today's medical examination of osteoporosis requires special and specialized instrumentation to detect bone mineral density. However, bone density can only provide bone density in patients and diagnose osteoporosis. It cannot be effectively predicted. The time of the fracture.
    Predicting the time of bone embrittlement or sudden fracture, so in the femur of patients with osteoporosis, due to the reduction of collagen and other substances, the trabecular bone is exposed, as a notch of fatigue damage, over time As the passage, the pore structure of the trabecular bone gradually increases to form a larger hole, and the larger hole is regarded as a crack propagation from notch root, and the crack growth and material are discussed. The relationship between fatigue life prediction and BMD.
    Advisor Committee
  • Chao-heng Chien - advisor
  • Chao-ming Wang - advisor
  • Yih-shiun Shih - co-chair
  • Files indicate in-campus access at 2 years and off-campus access at 3 years
    Date of Defense 2019-01-27 Date of Submission 2019-02-15


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