Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Sebastián Miguel Giusti"'
Autor:
Sebastián Miguel Giusti
Publikováno v:
Biblioteca Digital de Teses e Dissertações do LNCCLaboratório Nacional de Computação CientíficaLNCC.
O presente trabalho tem como propósito principal desenvolver a análise de sensibilidade topológica em modelos constitutivos multi-escala. Neste sentido, utilizando o Princípio de Macro-Homogeneidade de Hill-Mandel e o conceito de média volumétr
Externí odkaz:
http://www.lncc.br/tdmc/tde_busca/arquivo.php?codArquivo=171
Autor:
Ferrer, Àlex, Giusti, Sebastián Miguel
Publikováno v:
Engineering Computations; 2022, Vol. 39 Issue 1, p337-353, 17p
Autor:
Xavier, Marcel, Van Goethem, Nicolas
Publikováno v:
Engineering Computations; 2022, Vol. 39 Issue 1, p421-437, 17p
Publikováno v:
Computational Modeling, Optimization & Manufacturing Simulation of Advanced Engineering Materials; 2016, pi-viii, 8p
Autor:
Giorgio Fasano, János D. Pintér
This book presents advanced case studies that address a range of important issues arising in space engineering. An overview of challenging operational scenarios is presented, with an in-depth exposition of related mathematical modeling, algorithmic a
The book presents new results and applications of the topological derivative method in control theory, topology optimization and inverse problems. It also introduces the theory in singularly perturbed geometrical domains using selected examples. Reco
Autor:
Pablo Andrés Muñoz-Rojas
This volume presents recent research work focused in the development of adequate theoretical and numerical formulations to describe the behavior of advanced engineering materials. Particular emphasis is devoted to applications in the fields of biolog
Autor:
Antonio André Novotny, Jan Sokołowski
The topological derivative is defined as the first term (correction) of the asymptotic expansion of a given shape functional with respect to a small parameter that measures the size of singular domain perturbations, such as holes, inclusions, defects