Detail publikačního výsledku

Statistical characteristics of material parameters of concrete using inverse analysis

LEHKÝ, D.; NOVÁK, D.; KERŠNER, Z.; STRAUSS, A.

Originální název

Statistical characteristics of material parameters of concrete using inverse analysis

Anglický název

Statistical characteristics of material parameters of concrete using inverse analysis

Druh

Abstrakt

Originální abstrakt

Paper describes two methods of statistical material parameters identification using inverse analysis: (1) One by one method – parameters of each specimen are identified separately and final statistics are calculated from the set of all values for each parameter; (2) Direct method – in case of larger statistical set it is more efficient not to identify each specimen step by step but to identify the whole statistical set for all specimens together based on random response of fracture tests.

Anglický abstrakt

Paper describes two methods of statistical material parameters identification using inverse analysis: (1) One by one method – parameters of each specimen are identified separately and final statistics are calculated from the set of all values for each parameter; (2) Direct method – in case of larger statistical set it is more efficient not to identify each specimen step by step but to identify the whole statistical set for all specimens together based on random response of fracture tests.

Klíčová slova

Statistical parameters, identification, neural networks, fracture energy

Klíčová slova v angličtině

Statistical parameters, identification, neural networks, fracture energy

Autoři

LEHKÝ, D.; NOVÁK, D.; KERŠNER, Z.; STRAUSS, A.

Rok RIV

2012

Vydáno

31.08.2011

Místo

Paris

ISBN

978-2-911256-61-5

Kniha

The 2nd International Conference on Material Modelling - ICMM2

Strany od

304

Strany do

304

Strany počet

1

BibTex

@misc{BUT90390,
  author="David {Lehký} and Drahomír {Novák} and Zbyněk {Keršner} and Alfred {Strauss}",
  title="Statistical characteristics of material parameters of concrete using inverse analysis",
  booktitle="The 2nd International Conference on Material Modelling - ICMM2",
  year="2011",
  pages="304--304",
  address="Paris",
  isbn="978-2-911256-61-5",
  note="Abstract"
}