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Content available remote Morphology-based prediction of elastic properties of trabecular bone samples
EN
Morphological characteristics of the trabecular structure, identified by micro-tomography, can be quantified by volume fraction and second-order fabric tensors. These parameters have been proved to be related to bone structural properties but the formulations so far developed between volume fraction, fabric and elastic properties are bone specific and the coefficients found for one bone are not directly applicable to other bones. In this work, a general relationship was determined that links volume fraction and Mean Intercept Length (MIL) to the trabecular structure stiffness as computed by means of numerical models on which compression tests are simulated. Preliminary results obtained for three pig and two rat bone structures show that, for the pooled data set, the model could predict approximately 99% of the variation of the numerically computed elastic moduli.
2
Content available remote The application of the cell method in a clinical assessment of bone fracture risk
EN
The aim of this paper is to introduce a new technique for in vivo quantification of bone structure fracture risk. The elastic properties of the architecture obtained from bone digital radiographic images are determined using the cell method. Compression tests are simulated and the results of the numerical analysis are indexed. Such an index is considered to be indicative of the bone structure capabilities. The first clinical validation was carried on at CSMMO, Centro Studi Malattie Metaboliche dell’Osso (Gorizia, Italy), showing that this technique can improve the diagnosis and help a physician in the identification of an actual fracture risk. The examination is not expensive, uses instrumentation that is widely available and therefore could be easily introduced in clinical use as a complement to the current osteoporosis diagnosis methodologies.
3
Content available remote Modelling of the mechanical behaviour of porous materials: a new approach
EN
A new approach to porous materials modelling is presented. In this model, a matrix of cells contains a number of randomly distributed void cells in order to obtain the desired porosity. The system is solved by means of a recent numerical method, the Cell Method. As an application, the Young modulus of four sintered alloys is computed and the simulations show a good agreement with the experimental results reported in literature, depending on the porosity of the sintered powder and the Young modulus of the wrought material. Besides this application, the approach is promising in a wider class of problems, namely all those in which a large number of random distributed heterogeneities or voids are present.
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