Software for estimation of second order effective material properties of porous samples with geometrical and physical nonlinearity accounted for. (August 2015)

• Record Type: Journal Article
• Authors: Vershinin, A.V.; Levin, V.A.; Zingerman, K.M.; Sboychakov, A.M.; Yakovlev, M.Ya.
• Is Part Of: Advances in engineering software. Volume 86(2015)
• Page Start: 80
• Page End: 84
• Publication Date: 2015-08
• Subjects: Effective properties -- Porous material -- Finite strain -- Physical nonlinearity -- Finite-element method -- Parallel computations; Computer-aided engineering -- Periodicals; Engineering -- Computer programs -- Periodicals; Engineering -- Software -- Periodicals; Periodicals; 620.0028553
• DOI: 10.1016/j.advengsoft.2015.04.007
• Languages: English
• ISSNs: 0965-9978

Abstract

Highlights: A method for estimation of effective properties of porous materials is presented. The second-order nonlinearities are accounted for. The effective material properties as functions of porosity are examined. The computations were carried out in parallel using CUDA technology. Accounting for nonlinear effects is essential for estimation of effective properties. Abstract: A method and an algorithm for numerical estimation of effective mechanical properties of porous materials are presented. The effective properties are sought in the form of the nonlinear relation between the second Piola–Kirchhoff stress tensor and the Green strain tensor for anisotropic materials with second-order nonlinearities accounted for. The effective characteristics of test models are computed by means of a CAE Fidesys program module based on the proposed algorithm. The effective material properties as functions of porosity are examined. The finite element mesh that contained more than a million of elements was used while performing stress analysis of a specimen. To reduce computing time, assembly and solution of the global equation system was done in parallel using CUDA technology. The computations were carried out on NVIDIA Tesla C2050 graphics processors. Our results show that accounting for nonlinear effects is essential for correct estimation of effective properties of porous materials.