In the context which processing power grows consistently, the search for more efficient numerical methods, able to take advantage of such resources and that leads to more competitive engineering solutions persists. In this sense, the present work explores, in the scope of Computational Fluid Dynamics, the Lattice Boltzmann Method (LBM), currently seen as a promising tool for the analysis of incompressible flows given its ease of implementation and possibility of extensive use of parallelized computing. Firstly, a literature review of pioneer and recent works regarding the solution of flow around a square cylinder through LBM was carried out aiming to better understand the level of agreement with well stablished methods in the academia and i...
Numerical analysis has become a tool of great importance in the search for solutions of increasingly...
The purpose of this work is to develop a routine that enables the optimization of geometric values,...
Many engineering problems involve the optimization of the unknown objective function. Recently, ac...
The objective of this work is to use algorithms known as Boltzmann Machine to rebuild and classify p...
TCC (graduação) - Universidade Federal de Santa Catarina. Campus Joinville. Engenharia Aeroespacial....
Paraffin precipitation is responsible for several problems in industry, being usually mecanically re...
Assim, neste trabalho, foi estudada a introdução de imperfeições geométricas tanto na estrutura como...
Heat transfer through heterogeneous materials may be modeled using sets of partial differential equa...
The purpose of using software based on numerical approximations for metal forming is given by the ne...
This work aims to demonstrate the applicability of Genetic Algorithms in the field of Civil Enginee...
This work aims at the development of shape sensitivity analysis with the application of the Boundary...
The main objective of this work is to contribute in the structure’s selection stage in system identi...
Artificial Neural Networks are mathematical and computational models inspired by the functioning of...
Dissertação (mestrado)—Universidade de Brasília, Faculdade UnB Gama, Faculdade de Tecnologia, Progra...
In the context of industry 4.0, optimization via simulation (OvS) emerges as one of the most powerfu...
Numerical analysis has become a tool of great importance in the search for solutions of increasingly...
The purpose of this work is to develop a routine that enables the optimization of geometric values,...
Many engineering problems involve the optimization of the unknown objective function. Recently, ac...
The objective of this work is to use algorithms known as Boltzmann Machine to rebuild and classify p...
TCC (graduação) - Universidade Federal de Santa Catarina. Campus Joinville. Engenharia Aeroespacial....
Paraffin precipitation is responsible for several problems in industry, being usually mecanically re...
Assim, neste trabalho, foi estudada a introdução de imperfeições geométricas tanto na estrutura como...
Heat transfer through heterogeneous materials may be modeled using sets of partial differential equa...
The purpose of using software based on numerical approximations for metal forming is given by the ne...
This work aims to demonstrate the applicability of Genetic Algorithms in the field of Civil Enginee...
This work aims at the development of shape sensitivity analysis with the application of the Boundary...
The main objective of this work is to contribute in the structure’s selection stage in system identi...
Artificial Neural Networks are mathematical and computational models inspired by the functioning of...
Dissertação (mestrado)—Universidade de Brasília, Faculdade UnB Gama, Faculdade de Tecnologia, Progra...
In the context of industry 4.0, optimization via simulation (OvS) emerges as one of the most powerfu...
Numerical analysis has become a tool of great importance in the search for solutions of increasingly...
The purpose of this work is to develop a routine that enables the optimization of geometric values,...
Many engineering problems involve the optimization of the unknown objective function. Recently, ac...