INTECINCONICETUBAFacultad de Ingenieria

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Civil Engineering | Materials and Structures

Numerical methods in engineering - LMNI

Laboratory for Numerical Methods in Engineering - LMNI
2nd floor of Materials and Structures Laboratory - LAME
Faculty of Engineering, University of Buenos Aires - FIUBA.
Avenida Las Heras 2214 - (C1127AAR) Ciudad Autónoma de Buenos Aires.
Phone: +54 11 4514-3009 / 4514-3006
E-mail: lmni@fibertel.com.ar

Research Field

Civil Engineering - Materials

RESEARCH:
-Experimental numerical study of the behavior of engineering materials cohesive-frictional. In particular, concrete and soil.

Members

Direction:

Etse, José Guillermo. PhD. Investigador Independiente de CONICET. Profesor Titular interino.

lmni@fibertel.com.ar

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Folino, Paula C. PhD. Profesora Adjunta.

pfolino@fi.uba.ar

Caggiano, Antonio. Engineer. Becario UNISA, Italia.

ancaggiano@unisa.it

Ripani, Marianela. Engineer. Becaria CONICET.

marianelaripani@hotmail.com

Xargay, Hernán. Engineer. Ayudante Primero.

hernanxargay@yahoo.com.ar

Work Description

The constitutive theories are developed LMNI for cuasifrágiles materials, including: concrete.
Concrete is the material used in the construction industry worldwide. For this reason, predict their behavior with realistic constitutive theories to be implemented in finite element codes is of fundamental importance.

Concrete is a material whose behavior affect not only each of its components, but is also sensitive to the state of request that is submitted. Their production is still well differentiated from traditional industrial materials such as steel.

The most recent publications and presentations of LMNI have focused on the presentation of a new failure criteria, as well as establishing a model valid for normal strength concrete to high-strength concretes, numerical modeling of fiber reinforced concrete; and proposed a poroplástica gradient constitutive theory thermodynamically consistent processes for concrete subjected to thermo-chemical-mechanical.

There are several open lines of research:

- Numerical Modeling of the failure of arbitrary strength concretes.
- Development of a dosing system of concrete using neural networks and genetic algorithms.
- Mesomecánica Modeling of fiber reinforced concrete.
- Modeling constitutive behavior of concrete subjected to high temperatures and chemical degradation processes.