Computational Modal and Solution Procedure for Inhomogeneous Materials with Eigen-Strain Formulation of Boundary Integral Equations

Ma, Hang; Qin, Qing Hua; Kompiš, V.

doi:10.1007/978-1-4020-6975-8_13

Cited by 2 publications

(2 citation statements)

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“…The source functions are presented by 1D quadratic nonuniform rational B-splines (NURBS) shape functions defined by discrete points along the fibre axis. Numerical integration along 1D elements and corresponding nonuniform rational B-splines (NURBS) shape functions [18,19] are the integrands in (6). They are quasi-singular and complicated for analytical evaluation.…”

Section: Methods Of Continuous Source Functions For Simulation Of Fibresmentioning

confidence: 99%

“…Accurate numerical simulation of the fields is important for correct analysis and design of the material behaviour. Among the existing numerical methods, finite element method (FEM) [2,3], boundary element method (BEM) [4,5], and meshless methods [6] can be used for simulating the CRSF behaviour. However, these classical numerical methods are suitable for the lowest scale simulation only.…”

Section: Introductionmentioning

confidence: 99%

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Thermal Properties of Short Fibre Composites Modeled by Meshless Method

Kompiš

Murčínková

2014

Advances in Materials Science and Engineering

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Computational model using continuous source functions along the fibre axis is presented for simulation of temperature/heat flux in composites reinforced by short fibres with large aspect ratio. The aspect ratio of short fibres reinforcing composite material is often as large as 103 : 1–106 : 1, or even larger. 1D continuous source functions enable simulating the interaction of each fibre with the matrix and also with other fibres. The developed method of continuous source functions is a boundary meshless method reducing the problem considerably comparing to other methods like FEM, BEM, meshless methods, or fast multipole BEM formulation.

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Section: Methods Of Continuous Source Functions For Simulation Of Fibresmentioning

confidence: 99%