Anderson Pereira

A Unified Library of Nonlinear Solution Schemes

1 A Unified Library of Nonlinear Solution Schemes Sofie E. Leon1, Glaucio H. Paulino1, Anderson Pereira2, Ivan F. M. Menezes2, Eduardo N. Lages2 1 Civil and Environmental Engineering Department, University of Illinois, Urbana, IL, USA 2 Group of Technology in Computer Graphics, Pontifical Catholic University ,Rio de Janeiro, RJ, Brazil 3 Center of Technology, Federal University of Alagoas, Maceio, Alagoas, Brazil

An object-oriented framework for finite element analysis based on a compact topological data structure

This paper describes an ongoing work in the development of a finite element analysis system, called TopFEM, based on the compact topological data structure, TopS [1,2]. This new framework was written to take advantage of the topological data structure together with object-oriented programming concepts to handle a variety of finite element problems, spanning from fracture mechanics to topology optimization, in an efficient, but generic fashion. The class organization of the TopFEM system is described and discussed within the context of other frameworks in the literature that share similar ideas, such as GetFEM++, deal.II, FEMOOP and OpenSees. Numerical examples are given to illustrate the capabilities of TopS attached to a finite element framework in the context of fracture mechanics and to establish a benchmark with other implementations that do not make use of a topological data structure.

Robust Topology Optimization under Uncertain Loads - A Spectral Stochastic Approach

Abstract. A spectral stochastic approach for structural topology optimization in the presence of uncertainties in the magnitude and direction of the applied loads is proposed. The application of this approach in the representation and propagation of uncertainties presents a low computational cost compared to classical techniques, such as Monte Carlo simulation. A recent development of spectral representation methods, known as generalized polynomial chaos (gPC), has become one the most widely used methods by exhibiting fast convergence when the solution depends smoothly on the random parameters. Therefore, in this work, gPC is applied to estimate the statistical measures of the compliance of 2D continuum structures, which we call Robust Topology Optimization. To demonstrate the accuracy and applicability of the proposed method, we solve robust topology optimization where we minimize the influence of stochastic variability on the mean design. Representative examples of topology optimization of continuum structures under load uncertainties are presented. The results demonstrate that load uncertainties play an important role in the optimal design. It is also shown that results obtained from the gPC method are in excellent agreement with those obtained from Monte Carlo simulation.

ANALISE DE CARTILHAS EDUCATIVAS EM SAÚDE: UMA CONTRIBUIÇÃO DA ERGONOMIA INFORAMCIONAL

The following article analyzes graphic materials used as means of information in health care area. Its principal objective is to contribute to the suitability of these materials for diabetic patients. In the research process, 21 subjects of educational health care area were collected and analyzed syntactically and semantically.