Trong Phu Do, Pascal Ziegler, Peter Eberhard. Simulation of contact forces and contact characteristics during meshing of elastic beveloid gears. CAMES 2014 (21) 2: 91-111

Beveloid gears, also known as conical involute gears with very complex tooth shapes, gain more and more importance in industrial practice due to their ability to realize gear stages with crossed axes. This is why they are frequently found in power transmissions. The most familiar application of beveloid gears is the reduction gear used in marine transmissions, but in the last few years they have also been used increasingly often in the automotive industry. In the last decade many studies on beveloid gears were published, however, the meshing between teeth and the contact characteristics during meshing of beveloid gears still have not been studied in detail using fully elastic models. In this work, the fully elastic multibody approach will be applied to study contact forces and contact characteristics including contact patterns during meshing of straight beveloid gears. To validate the fully elastic approach, simulation results of a beveloid gear pair by finite element method and by the fully elastic multibody system are compared. The comparison shows very good agreement.

Keywords: multibody dynamics, gears, involute gears, beveloid gears, contact forces, contact patterns, elastic multibody system.

Przemysław Makowski, Wacław Ku¶. Trabecular bone numerical homogenization with the use of buffer zone. CAMES 2014 (21) 2: 113-121

The paper is devoted to calculation of effective orthotropic material parameters for trabecular bone tissue. The finite element method (FEM) numerical model of bone sample was created on the basis of micro-computed tomography (µCT) data. The buffer zone surrounding the tissue was created to apply the periodic boundary conditions. Numerical homogenization algorithm was implemented in FEM software and used to calculate the elasticity matrix coefficients of the considered bone sample.

Keywords: trabecular bone, numerical homogenization, multiscale modeling, FEM.

S. Chakraverty, Deepti Moyi Sahoo. Interval response data based system identification of multi storey shear buildings using interval neural network modelling. CAMES 2014 (21) 2: 123-140

This paper uses artificial neural network (ANN) technique for the identification of structural parameters of multistorey shear buildings. First, the identification has been done using response of the structure subject to ambient vibration with interval initial condition. Then, forced vibration with horizontal displacement in interval form has been used to investigate the identification procedure. The neural network has been trained by a methodology so as to handle interval data. This is because, in general we may not get the corresponding input and output values exactly (in crisp form) but we may only have the uncertain information of the data. These uncertain data are assumed in term of interval and the corresponding problem of system identification is investigated. The model has been developed for multistorey shear structure and the procedure is tested for the identification of the stiffness parameters of simple example problem using the prior values of the design parameters.

Keywords: identification, inverse vibration, modeling, interval neural network, shear buildings, structures.

Michał Pazdanowski. SVD as a preconditioner in nonlinear optimization. CAMES 2014 (21) 2: 141-150

Finding a solution of nonlinear constrained optimization problem may be very computer resources consuming, regardless of solution method adopted. A conceptually simple preconditioning procedure, based on singular value decomposition (SVD), is proposed in the current paper in order to speed up the convergence of a gradient based algorithm to solve constrained minimization problem having quadratic objective function. The efficiency of the proposed procedure is tested on a constrained minimization problem with quadratic objective function and quadratic constraints. Accuracy of the results obtained using proposed preconditioning method is checked and verified against the results determined without the preconditioning procedure. Results obtained so far seem to indicate a significant speedup of the calculations at the expense of, negligible from the engineering point of view, loss of accuracy.

Keywords: numerical method, nonlinear optimization, singular value decomposition.

Agnieszka Padewska, Piotr Szczepaniak, Andrzej Wawrzynek. Analysis of fluid-structure interaction of a torus subjected to wind loads. CAMES 2014 (21) 2: 151-167

In the paper the aerodynamic forces acting on a part of a water slide or other object with curved, tubular shape, depending on the section of a torus and value of the wind velocity, were obtained. This was done by means of finite element method (FEM) and finite volume method (FVM) computer simulations, using modules: computational fluid dynamics (CFD) and fluid-structure interaction (FSI) and taking into account the Eurocode EN 1991-1-4.

Keywords: fluid-structure interaction, water slide, wind action, CFD, FSI, FEM, FVM.

IACM and ECCOMAS. 2015- Announcements. CAMES 2014 (21) 2: 168

ECCOMAS. 2015- Announcements. CAMES 2014 (21) 2: 168

PCM and CCM. PCM-CMM-2015 CONGRESS. CAMES 2014 (21) 2: 168