A modelling method with computational mechanics for design work.

A Meshless Method for Computational Stochastic Mechanics

This paper presents a stochastic meshless method for probabilistic analysis of linear-elastic structures with spatially varying random material properties. Using Karhunen-Loève (K-L) expansion, the homogeneous random field representing material properties was discretized by a set of orthonormal eigenfunctions and uncorrelated random variables. Two numerical methods were developed for solving th...

The Stochastic Perturbation Method for Computational Mechanics

Granular element method for computational particle mechanics

0045-7825/$ see front matter 2012 Elsevier B.V. A http://dx.doi.org/10.1016/j.cma.2012.06.012 ⇑ Corresponding author. E-mail address: [email protected] (J.E. Andrad This paper presents a method within the family of the discrete element method (DEM) capable of accurately capturing grain shape by using Non-Uniform Rational Basis-Splines (NURBS). The new method, called GEM, bypasses one of the ...

Wear modelling: analytical, computational and mapping: a continuum mechanics approach

As a result of its widespread and pervasive economic consequences wear, the almost inevitable companion of friction, has been the subject of much scientific and empirical investigation; the literature is rich with ‘wear equations’ so that, on occasion, the practitioner can seem to have too much information rather than too little. Some guidance and reconciliation between analytical and computati...

A Computational Meshless Method for Solving Multivariable Integral Equations

In this paper we use radial basis functions to solve multivariable integral equations. We use collocation method for implementation. Numerical experiments show the accuracy of the method.