Detail publikace

Inverse statistical nonlinear FEM analysis of concete structures

Originální název

Inverse statistical nonlinear FEM analysis of concete structures

Anglický název

Inverse statistical nonlinear FEM analysis of concete structures

Jazyk

en

Originální abstrakt

The utilization of an appropriate material model for realistic modeling of concrete is essential for capturing the behaviour of real structures using nonlinear fracture mechanics. A primary key problem in practical application is the identification of material model parameters. Parameters like fracture energy or tensile strength cannot always be determined by experiments. A health monitoring procedure can provide statistical data on structural response. This, however, gives rise to an inverse FEM problem: what statistical parmeters should be used to reproduce monitored random response?

Anglický abstrakt

The utilization of an appropriate material model for realistic modeling of concrete is essential for capturing the behaviour of real structures using nonlinear fracture mechanics. A primary key problem in practical application is the identification of material model parameters. Parameters like fracture energy or tensile strength cannot always be determined by experiments. A health monitoring procedure can provide statistical data on structural response. This, however, gives rise to an inverse FEM problem: what statistical parmeters should be used to reproduce monitored random response?

BibTex


@inproceedings{BUT24287,
  author="David {Lehký} and Alfred {Strauss} and Konrad {Bergmeister} and Drahomír {Novák}",
  title="Inverse statistical nonlinear FEM analysis of concete structures",
  annote="The utilization of an appropriate material model for realistic modeling of concrete is essential for capturing the behaviour of real structures using nonlinear fracture mechanics. A primary key problem in practical application is the identification of material model parameters. Parameters like fracture energy or tensile strength cannot always be determined by experiments. A health monitoring procedure can provide statistical data on structural response. This, however, gives rise to an inverse FEM problem: what statistical parmeters should be used to reproduce monitored random response?",
  address="Taylor and Francis Group",
  booktitle="Computational Modelling of Concrete Structures",
  chapter="24287",
  institution="Taylor and Francis Group",
  year="2006",
  month="may",
  pages="897--904",
  publisher="Taylor and Francis Group",
  type="conference paper"
}