Detail publikace

Utilization of Artificial Neural Network Based Response Surface Method for Reliability Analysis of Structures

LEHKÝ, D. ŠOMODÍKOVÁ, M.

Originální název

Utilization of Artificial Neural Network Based Response Surface Method for Reliability Analysis of Structures

Typ

abstrakt

Jazyk

angličtina

Originální abstrakt

The key step of the reliability and lifetime assessment of structures is the determination of reliability level, described by failure probability or reliability index. Some of the simulation or approximation techniques can be used for this purpose. In case of large structures analyzed using the nonlinear finite element method, it is necessary to develop more efficient procedures, reducing the number of evaluations of original limit state function to a minimum. Here, artificial neural network based response surface method in combination with small-sample simulation technique Latin Hypercube Sampling is utilized for the approximation of a limit state function. Thanks to ability of artificial neural network to generalize it is efficient to fit limit state function with a sufficiently small number of simulations.

Klíčová slova

artificial neural network, Latin hypercube sampling, load bearing capacity, probability of failure, reliability index

Autoři

LEHKÝ, D.; ŠOMODÍKOVÁ, M.

Vydáno

11. 5. 2015

Nakladatel

Náprstek, J. & Fischer, C.

Místo

Svratka, Česká republika

ISBN

978-80-86246-42-0

Kniha

Engineering Mechanics 2015 – 21st International Conference: Extended Abstracts, May 11–14, 2015, Svratka, Czech Republic

Strany od

182

Strany do

183

Strany počet

2

BibTex

@misc{BUT120743,
  author="David {Lehký} and Martina {Sadílková Šomodíková}",
  title="Utilization of Artificial Neural Network Based Response Surface Method for Reliability Analysis of Structures",
  booktitle="Engineering Mechanics 2015 – 21st International Conference: Extended Abstracts, May 11–14, 2015, Svratka, Czech Republic",
  year="2015",
  pages="182--183",
  publisher="Náprstek, J. & Fischer, C.",
  address="Svratka, Česká republika",
  isbn="978-80-86246-42-0",
  note="abstract"
}