Detail publikace

Reliability-based design optimization using artificial neural network inverse analysis

Originální název

Reliability-based design optimization using artificial neural network inverse analysis

Anglický název

Reliability-based design optimization using artificial neural network inverse analysis

Jazyk

en

Originální abstrakt

An efficient approach to reliability-based design optimization is presented. It is aimed for solving inverse reliability problems with multiple solutions of optimal design parameters with respect to the target reliability constraints. The main goal is to propose procedure which can employ artificial neural network surrogate model in order to obtain set of design parameters securing defined level of reliability. Objective function can be defined as simple function of dependent and independent variables, e.g. cost of the structure calculated based on the volume and type of materials used.

Anglický abstrakt

An efficient approach to reliability-based design optimization is presented. It is aimed for solving inverse reliability problems with multiple solutions of optimal design parameters with respect to the target reliability constraints. The main goal is to propose procedure which can employ artificial neural network surrogate model in order to obtain set of design parameters securing defined level of reliability. Objective function can be defined as simple function of dependent and independent variables, e.g. cost of the structure calculated based on the volume and type of materials used.

BibTex


@inproceedings{BUT156407,
  author="Ondřej {Slowik} and David {Lehký} and Drahomír {Novák}",
  title="Reliability-based design optimization using artificial neural network inverse analysis",
  annote="An efficient approach to reliability-based design optimization is presented.  It is aimed for solving inverse reliability problems with multiple solutions of optimal design parameters with respect to the target reliability constraints. The main goal is to propose procedure which can employ artificial neural network surrogate model in order to obtain set of design parameters securing defined level of reliability. Objective function can be defined as simple function of dependent and independent variables, e.g. cost of the structure calculated based on the volume and type of materials used.",
  booktitle="16th International Probabilistic Workshop",
  chapter="156407",
  doi="10.1002/best.201800059",
  howpublished="online",
  number="S2",
  year="2018",
  month="september",
  pages="1--6",
  type="conference paper"
}