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一种基于概率有限元与累积损伤模型的种植体疲劳研究新模型。

A New Model to Study Fatigue in Dental Implants Based on Probabilistic Finite Elements and Cumulative Damage Model.

作者信息

Prados-Privado María, Bea José Antonio, Rojo Rosa, Gehrke Sérgio A, Calvo-Guirado José Luis, Prados-Frutos Juan Carlos

机构信息

Department of Medicine and Surgery, Faculty of Health Sciences, Rey Juan Carlos University, Madrid, Spain.

University of Zaragoza, Zaragoza, Spain.

出版信息

Appl Bionics Biomech. 2017;2017:3726361. doi: 10.1155/2017/3726361. Epub 2017 Jul 5.

Abstract

The aim of this study was to predict the fatigue life of two different connections of a dental implant as in load transfer to bone. Two three-dimensional models were created and assembled. All models were subjected to a natural masticatory force of 118 N in the angle of 75° to the occlusal plane. All degrees of freedom in the inferior border of the cortical bone were restrained, and the mesial and distal borders of the end of the bone section were constrained. Fatigue material data and loads were assumed as random variables. Maximum principal stresses on bone were evaluated. Then, the probability of failure was obtained by the probabilistic approach. The maximum principal stress distribution predicted in the cortical and trabecular bone is 32 MPa for external connection and 39 MPa for internal connection. A mean life of 103 and 210 million cycles were obtained for external and internal connection, respectively. Probability cumulative function was also evaluated for both connection types. This stochastic model employs a cumulative damage model and probabilistic finite element method. This methodology allows the possibility of measured uncertainties and has a good precision on the results.

摘要

本研究的目的是预测牙科种植体两种不同连接方式在向骨组织传递载荷时的疲劳寿命。创建并组装了两个三维模型。所有模型均在与咬合平面成75°角的方向上承受118 N的自然咀嚼力。皮质骨下缘的所有自由度均受到约束,骨截面末端的近中缘和远中缘也受到限制。疲劳材料数据和载荷被假定为随机变量。评估了骨上的最大主应力。然后,通过概率方法获得失效概率。外部连接在皮质骨和松质骨中预测的最大主应力分布为32 MPa,内部连接为39 MPa。外部连接和内部连接的平均寿命分别为1.03亿次循环和2.1亿次循环。还评估了两种连接类型的概率累积函数。该随机模型采用累积损伤模型和概率有限元方法。这种方法考虑了测量不确定性的可能性,并且在结果上具有良好的精度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa4e/5516717/21a2c311c8ab/ABB2017-3726361.001.jpg

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