Microplane Model Parameters Identification from Different Types of Loading Experiments

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F06%3A00118143" target="_blank" >RIV/68407700:21110/06:00118143 - isvavai.cz</a>

Result on the web

—

DOI - Digital Object Identifier

—

Result language

angličtina

Original language name

Microplane Model Parameters Identification from Different Types of Loading Experiments

Original language description

A procedure based on layered feed-forward neural networks for the microplane material model parameters identification is proposed in the present paper. Stochastic sensitivity analysis is used to investigate influence of material parameters on the response of the structure during the loading process. Three types of loading tests are simulated and the resulting load-deflection curves served as the input values for the neural network. The following training process is governed by an evolutionary algorithm.Advantages and disadvantages of this approach are also discussed.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

—

Project

—

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2006

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of Workshop 2006

ISBN

80-01-03439-9

ISSN

—

e-ISSN

—

Number of pages

2

Pages from-to

344-345

Publisher name

ČVUT

Place of publication

Praha

Event location

Praha

Event date

Feb 20, 2006

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

—