Banca de DEFESA: MARIANNA LUNA SOUSA RIVETTI

Uma banca de DEFESA de DOUTORADO foi cadastrada pelo programa.
STUDENT : MARIANNA LUNA SOUSA RIVETTI
DATE: 23/02/2022
TIME: 09:00
LOCAL: Remoto
TITLE:

THEORETICAL ANALYSIS OF CONCRETE SHRINKAGE WITH RECYCLED AGGREGATE

KEY WORDS:

Recycled Aggregate, Concrete with Recycled Aggregate, Shrinkage by
Drying, Mathematical Models

PAGES: 292
BIG AREA: Engenharias
AREA: Engenharia Civil
SUBÁREA: Construção Civil
SPECIALTY: Materiais e Componentes de Construção
SUMMARY:

The construction industry is considered a major cause of environmental degradation,
thus, the sector has turned to sustainable development in order to reduce environmental
impacts. One of the measures adopted is the reuse of construction waste, through
the production of recycled aggregate. The construction waste are materials of great
heterogeneity in their composition, which, consequently, affects the properties of the
recycled aggregates derived from them. The variability of recycled aggregates causes
uncertainties about their use in concrete, since it directly affects the behavior of concrete
in both fresh and hardened states. However, the use of recycled aggregates in
concrete is feasible, since it is possible to obtain concrete with recycled aggregates
with mechanical properties similar to those of conventional concrete. Nevertheless,
studies indicate that the shrinkage of concrete with recycled aggregate is higher than
that of concrete with natural aggregate, due to the higher porosity and high absorption
rate of recycled aggregates. Shrinkage is a time-dependent phenomenon that causes
cracking in concrete, affecting the durability and service life of concrete structures. To
enable the use of concrete with recycled aggregate, it is important to predict its behavior
over time, through models capable of estimating its deformation. The deformation
due to drying shrinkage depends on several factors, including those associated with
the aggregate; but in spite of that, many of these factors are not considered in the
numerical models that predict the behavior of conventional concrete. This study evaluated
the

BANKING MEMBERS:
Presidente - 549.925.915-15 - PAULO ROBERTO LOPES LIMA - UEFS
Interno - 2315713 - MARCELO STROZI CILLA
Externo à Instituição - MARCO PEPE
Externa à Instituição - ALINE DA SILVA RAMOS BARBOZA - UFAL
Externa à Instituição - ANGELA BORGES MASUERO - UFRGS