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STRESS ANALYSIS WITH NONLINEAR MODELLING OF THE LOAD TRANSFER CHARACTERISTICS ACROSS THE OSSEOINTEGRATED INTERFACES OF DENTAL IMPLANT
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  • STRESS ANALYSIS WITH NONLINEAR MODELLING OF THE LOAD TRANSFER CHARACTERISTICS ACROSS THE OSSEOINTEGRATED INTERFACES OF DENTAL IMPLANT
  • STRESS ANALYSIS WITH NONLINEAR MODELLING OF THE LOAD TRANSFER CHARACTERISTICS ACROSS THE OSSEOINTEGRATED INTERFACES OF DENTAL IMPLANT
저자명
Lee. Seung-Hwan,Jo. Kwang-Hun
간행물명
대한치과보철학회지
권/호정보
2004년|42권 3호|pp.267-279 (13 pages)
발행정보
대한치과보철학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

A modelling scheme for the stress analysis taking into account load transfer characteristics of the osseointegrated interfaces between dental implant and surrounding alveolar bone was investigated. Main aim was to develop a more realistic simulation methodology for the load transfer at the interfaces than the prefect bonding assumption at the interfaces which might end up the reduced level in the stress result. In the present study, characteristics of osseointegrated bone/implant interfaces was modelled with material nonlinearity assumption. Bones at the interface were given different stiffness properties as functions of stresses. Six different models, i.e. tens0, tens20, tens40, tens60, tens80, and tens100 of which the tensile moduli of the bones forming the bone/implant interfaces were specified from 0, 20, 40, 60, 80, and 100 percents, respectively, of the compressive modulus were analysed. Comparisons between each model were made to study the effect of the tensile load carrying abilities, i.e. the effectivity of load transfer, of interfacial bones on the stress distribution. Results of the present study showed significant differences in the bone stresses across the interfaces. The peak stresses, however, were virtually the same regardless of the difference in the effectivity of load transfer, indicating the conventional linear modelling scheme which assumes perfect bonding at the bone/implant interface can be used without causing significant errors in the stress levels.