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1.
Journal of Medical Biomechanics ; (6): E122-E128, 2012.
Artigo em Chinês | WPRIM (Pacífico Ocidental) | ID: wpr-803953

RESUMO

Researches on mechanical properties of biological hard tissues are of great importance to the prevention and treatment for both bone diseases and oral diseases. Meanwhile, biological materials possess superior mechanical properties due to long-term evolution, and studies on the structure and mechanical properties of these materials can provide useful solutions for the design of engineering materials. However, unlike engineering materials, mechanical studies on biological materials need specific methods to accurately characterize the mechanical performance. This paper summarized the research methods on mechanical properties of biological hard tissues, including routine mechanical tests, fracture mechanics tests, nanoindentation tests, as well as numerical simulation techniques in nano, micro and macro scales.

2.
Journal of Medical Biomechanics ; (6): E258-E263, 2012.
Artigo em Chinês | WPRIM (Pacífico Ocidental) | ID: wpr-803915

RESUMO

Objective To investigate effects of aging on the fracture mechanical behavior of human dentin with finite element numerical method. Methods The finite element model was established according to the typical compact tension specimen in the experiment. The stable crack growth in human dentin was simulated with the cohesive zone model to compare the crack extensions of the young and aged dentin. Results The growth toughness and plateau toughness of the aged dentin were 0.51 and 1.19 MPa•m1/2, respectively, which were significantly lower than those of the young dentin (7.48, 1.71 MPa•m1/2). However, the initiation toughness of the young and aged dentin showed no significant difference with 0.51 and 0.38 MPa•m1/2, respectively. Conclusions The crack growth resistance of human dentin is decreased significantly with aging. Based on the cohesive zone model, the crack growth behavior of biological hard tissue, whose mechanical properties are related with age (such as the human dentin), can be well predicted by using numerical methods.

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