کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5020676 1469079 2017 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Assessment of compressive failure process of cortical bone materials using damage-based model
ترجمه فارسی عنوان
بررسی روند شکست فشاری مواد استخوان کورتنی با استفاده از مدل مبتنی بر آسیب
کلمات کلیدی
استخوان کورتیک، مدل پلاستیکی آسیب دیده ببند، شکست ناپذیر، روش عنصر محدود بار فشرده سازی،
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی پزشکی
چکیده انگلیسی
The main failure factors of cortical bone are aging or osteoporosis, accident and high energy trauma or physiological activities. However, the mechanism of damage evolution coupled with yield criterion is considered as one of the unclear subjects in failure analysis of cortical bone materials. Therefore, this study attempts to assess the structural response and progressive failure process of cortical bone using a brittle damaged plasticity model. For this reason, several compressive tests are performed on cortical bone specimens made of bovine femur, in order to obtain the structural response and mechanical properties of the material. Complementary finite element (FE) model of the sample and test is prepared to simulate the elastic-to-damage behavior of the cortical bone using the brittle damaged plasticity model. The FE model is validated in a comparative method using the predicted and measured structural response as load-compressive displacement through simulation and experiment. FE results indicated that the compressive damage initiated and propagated at central region where maximum equivalent plastic strain is computed, which coincided with the degradation of structural compressive stiffness followed by a vast amount of strain energy dissipation. The parameter of compressive damage rate, which is a function dependent on damage parameter and the plastic strain is examined for different rates. Results show that considering a similar rate to the initial slope of the damage parameter in the experiment would give a better sense for prediction of compressive failure.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of the Mechanical Behavior of Biomedical Materials - Volume 66, February 2017, Pages 1-11
نویسندگان
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