Joaquim A. O. Barros (2016). "Debilities and strengths of FEM-based constitutive models for the material nonlinear analysis of steel fibre reinforced concrete structures." In Proceedings of FraMCoS 9, Berkeley, California, USA.
Joaquim A. O. Barros. "Debilities and strengths of FEM-based constitutive models for the material nonlinear analysis of steel fibre reinforced concrete structures." Paper presented at FraMCoS 9, Berkeley, California, USA, 2016.
Joaquim A. O. Barros, "Debilities and strengths of FEM-based constitutive models for the material nonlinear analysis of steel fibre reinforced concrete structures," in Proc. FraMCoS 9, Berkeley, California, USA, 2016.
@inproceedings{joaquim-a-o-barros2016,
title = {Debilities and strengths of FEM-based constitutive models for the material nonlinear analysis of steel fibre reinforced concrete structures},
author = {Joaquim A. O. Barros},
year = {2016},
booktitle = {Proceedings of FraMCoS 9},
address = {Berkeley, California, USA},
}
TY - CPAPER
TI - Debilities and strengths of FEM-based constitutive models for the material nonlinear analysis of steel fibre reinforced concrete structures
AU - Joaquim A. O. Barros
PY - 2016
T2 - Proceedings of FraMCoS 9
CY - Berkeley, California, USA
UR - https://framcos.org/wp-content/uploads/framcos-papers/Debilities_and_strengths_of_FEM-based_constitutive_models_for_the_material_nonli.pdf
AB - During the last decades several improvements have been made on the numerical simulation of concrete type structures by modeling the relevant nonlinearities presented by concrete and reinforcements, as well as their interactions. With the advent of new cement based materials, such is the case of fiber reinforced concrete (FRC), new challenges and difficulties are placed to the computational mechanics community. This work discusses debilities and strengths of constitutive models implemented under the framework of the finite element method (FEM) for the simulation of FRC structures, and points out areas deserving further specific research for more reliable modelling strategies.
ER -