Meshless analysis of 2D trabecular patches using a fabric tensor obtained from Micro-CT images

• Type: Article in International Conference Proceedings Book
• Date: 2017

Authors

Marques, M (Author) Other; Belinha, J (Author) Other; Renato Natal Jorge (Author) FEUP

Conference proceedings International

Title: 2017 IEEE 5th Portuguese Meeting on Bioengineering (ENBENG)

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Scopus - 0 Citations

Other information

Authenticus ID: P-00M-RSY

DOI: 10.1109/enbeng.2017.7889439

Abstract (EN): A fabric tensor is a symmetric second order tensor that characterizes a multiphase material. A relationship between the fourth order elasticity tensor Cijki and the fabric tensor, A, was developed by Cowin, 1985 [1]. Later, the Mean Intercept Length tensor MIL, was developed by Whitehouse 1974 [2] and was used to estimate the fabric tensors. MIL is usually computed by defining a family of parallel lines to a specified direction v. The number of intersections, C(v), between lines and the interface between both phases is counted. MIL is a function of v, MIL (v), and computed as a reason between the sum of the length of traced lines, h, with the number of intersections, C(v). Researchers found that for many types of materials, particularly bone trabeculae, an ellipse could be fitted to the MIL data [3]. With this, in 2D MIL, tensor, A, can be computed as the 2 × 2 matrix that represents the estimated ellipse. In this work, the MIL technique is applied to obtain directly from the Micro-CT images the constitutive tensor of a trabecular patch. © 2017 IEEE.

Language: English

Type (Professor's evaluation): Scientific