Probabilistic analysis of mechanical behaviour of mandibular trabecular bone using a calibrated stochastic homogenization model

Tawara, Daisuke; Nagahata, Masahiro; Takano, Naoki; Kinoshita, Hideaki; Abe, Shinichi

doi:10.1007/s00707-015-1381-8

Cited by 4 publications

(3 citation statements)

References 44 publications

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“…This study is the first attempt to predict the variability by probabilistic FEA, as far as the authors know. One of the authors 38) has ever proposed a probabilistic FEA based on more theoretical background for static analysis of oral implant surgery, but this paper proposed a new and practical method by analyzing only two static problems without and with initial defect for the quality assurance of patient-dependent clasp design. The proposed method does not explain the real phenomena and background physics of the fatigue behaviors.…”

Section: Discussionmentioning

confidence: 99%

Probabilistic finite element analysis of fatigue life of additively manufactured clasp

et al. 2022

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The present study was aimed to develop a probabilistic finite element method (FEM) that predicts the variability in the fatigue life of additively manufactured clasp so that it can be used as a virtual test in the design phase before manufacturing. Titanium alloy (Ti-6Al-4V) clasp with integrated chucking part, which was designed for experimental fatigue test to validate the computational method, was investigated. To predict the lower bound, an initial spherical defect was assumed in the region where stress concentration was predicted. The Smith-Watson-Topper (SWT) method, Bäumel & Seeger rule, elasto-plastic FEM, and zooming FEM were used. The influence of assumed initial defect on the fatigue life was significant, and the large variability in the fatigue life was predicted. This study demonstrated that the proposed practical computational method can simulate the large variability in the fatigue life of titanium alloy clasp, which is useful in its design before manufacturing.

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Section: Discussionmentioning

confidence: 99%

Probabilistic finite element analysis of fatigue life of additively manufactured clasp

et al. 2022

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“…The cross section of the model extracted from micro-CT images for the calculation process can be seen in Fig 2(b). The numerical procedures were only done for the drilling force in the trabecular bone region (Tawara et al, 2015). Note that the drilling force calculated and obtained is based on the reaction force on the tip of the drill while drilling along to the drilling axis.…”

Section: Materials and Methods 21 Oral Implant Surgery Training Simulmentioning

confidence: 99%

Quantitative study of force sensing while drilling trabecular bone in oral implant surgery

Kamisan

Kinoshita

et al. 2016

JBSE

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A survey done recently showed that almost 30 percent of the accidents occurred during oral implant surgery were concerned with the mandibular canal in the trabecular bone region and most of them were related to the drilling process. One of the reasons known is due to the clinicians' lack of knowledge and experience. In order to overcome the problem, through the educational approach, we proposed and developed a new system mainly for dental colleges' students, by focusing on drilling the mandibular trabecular bone. The system comes in the form of an oral implant surgery training simulator that enables student to sense the reaction force during drilling. The developed system was then evaluated by expert clinicians and dental college's students. A total of 8 clinicians and 24 students tested all three samples of drilling force database. The clinicians were asked to describe the drilling force based on a stiffness scale while the students are required to drill two samples first before drilling the third sample. They were asked to sketch the third samples based on the comparison of previous samples. Based on the evaluation done, it was found that the quantification of force sensed during drilling could be derived from the combination of drilling force and speed obtained through the relative value of comparison with the previous or accumulated experience of drilling. The results of this study also indicate that the oral implant surgery training simulator could help students learn the difference of drilling force sense dependent on the bone quality through repeated usage and practices.

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“…The elastic property in constituent material is reasonable to approximate by first-order perturbation theory according to Sakata et al 10 In reality, not only isotropic material property can be described by this method, but also orthotropic material property as Eq. (3) cited from Tawara et al 22 α 1 , α 2 represent variation in Young's modulus and Shear modulus, respectively. In the case of multi-phase material, Eq.…”

Section: Problem Description Of Heterogeneous Materials For Uncertainmentioning

confidence: 99%

Probabilistic Prediction of Homogenized Property and Update of Prediction for Spherical Porous Material Considering Microstructural Uncertainties

Wen

Yokota

Takano

2015

J. Multiscale Modelling

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The purpose of this work is to simulate uncertainties existing in microscopic field of spherical porous material so that the homogenized property of interest can be predicted with high reliability. Moreover, the final goal is to build a bridge of feedback between microstructure design and fabrication to predict microstructure morphology by limited measurement data of macroscopic property. The uncertainties are identified as parametric variables in constituent material property and nonparametric variables in morphological fluctuation such as disordering and clustering in microstructure. First-order perturbation, based stochastic homogenization (FPSH) method together with mixture distribution technique is employed for probabilistic prediction. Furthermore, the update of prediction is accomplished in the case of an assumed virtual experimental trial. Two numerical examples show that the probabilistic prediction has given a better decision in microstructure design than deterministic prediction. The main conclusion coming from the new method derived by gap between measured data and prediction showed that, when the update is used for morphology prediction of microstructure, it is almost perfect agreement with parameters' setup of virtual experiment. After it is applied for update of probabilistic homogenized property, it could make the updated homogenized property closer to measurement data so that it becomes more realistic.

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Probabilistic analysis of mechanical behaviour of mandibular trabecular bone using a calibrated stochastic homogenization model

Cited by 4 publications

References 44 publications

Probabilistic finite element analysis of fatigue life of additively manufactured clasp

Probabilistic finite element analysis of fatigue life of additively manufactured clasp

Quantitative study of force sensing while drilling trabecular bone in oral implant surgery

Probabilistic Prediction of Homogenized Property and Update of Prediction for Spherical Porous Material Considering Microstructural Uncertainties

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