Banca de DEFESA: RODRIGO MERO SARMENTO DA SILVA

Uma banca de DEFESA de DOUTORADO foi cadastrada pelo programa.
STUDENT : RODRIGO MERO SARMENTO DA SILVA
DATE: 22/12/2022
TIME: 08:30
LOCAL: https://meet.google.com/nry-ugpa-xob
TITLE:

COUPLING BETWEEN GEOMETRIC OPTIMIZATION MODELS OF PARTICULATE SYSTEMS AND MEDIUM FIELDS MICROMECHANICS MODELS FOR EVALUATION OF MULTIPHASE CEMENT COMPOSITES

KEY WORDS:

Cementitious Composite Materials, Optimization of Particulate Systems, Homogenization.

PAGES: 158
BIG AREA: Engenharias
AREA: Engenharia Civil
SUBÁREA: Estruturas
SPECIALTY: Estruturas de Concreto
SUMMARY:

The concrete in its macro scale can be considered a heterogeneous material, even being tested as such, however, when reducing its scale, it has phases inherent to each level. Modeling concrete has always been a great challenge, due to all the complexity of this cementitious material, despite that proposals constantly arise, such as homogenization by micromechanics. The mean-fields micromechanics has in its basic foundation the homogenization of two-phase composites, composed of inclusions immersed in an infinite matrix. In fact, on a macroscopic scale, concrete can be understood as being composed simply by inclusions (gravel) immersed
in a matrix (paste), being often modeled in this macro configuration. However, it is known that there are more phases that need to be evaluated to obtain a result closer to laboratory tests, as an example can be cited in the interfacial transition zone. In addition to modeling, it can be said that the construction industry seeks to maximize the properties of concrete, being an initial idea to seek the packaging of particulate systems (inclusions) minimizing the dispersed phase (matrix). In view of this open field, the present work proposes to study the coupling of optimization models of particulate systems to composite homogenization models, aiming at maximizing the mechanical properties of concrete using multiscale modeling. As a subsidy to this problem, an object-oriented framework is built to carry out the aforementioned modeling. The results obtained with the coupling between the techniques confirm the maximization of the mechanical properties when optimizing the particulate systems.

BANKING MEMBERS:
Interno(a) - 1121075 - ALINE DA SILVA RAMOS BARBOZA
Interno(a) - 1545555 - FRANCISCO PATRICK ARAUJO ALMEIDA
Interno(a) - 2544065 - MARCIO ANDRE ARAUJO CAVALCANTE
Externo(a) à Instituição - RODRIGO RIBEIRO PACCOLA - USP
Externo(a) à Instituição - SÉRGIO CIRELLI ANGULO