Damage assessment of earthquake dampers based on Preisach-Mayergoyz model

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F18%3A00326200" target="_blank" >RIV/68407700:21340/18:00326200 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/8600971" target="_blank" >https://ieeexplore.ieee.org/document/8600971</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/BEC.2018.8600971" target="_blank" >10.1109/BEC.2018.8600971</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Damage assessment of earthquake dampers based on Preisach-Mayergoyz model

Popis výsledku v původním jazyce

Preisach-Mayergoyz (PM) model of hysteresis can be used to evaluate the mechanical or ferromagnetic properties of different categories of hysteretic materials. The statistical PM space can be expressed as weighted combination of hysterons. A computer programme was designed for automatic numerical identification of the PM space probability density of hysterons within a class of distribution mixtures using optimization stochastic algorithms and $phi$-divergence measures. It was found that the FSA optimization technique (Fast Simulated Annealing), in combination with the Hellinger divergence measure between hysteretic loops, reliably founds the precise PM spaces of hysterons distributed along a mixture of two Guyer and parametrized Koen distributions. As an example, experimentally measured data of earthquake dampers are processed, the six identified PM spaces of six testing cycles for the dampers are presented and, based on them, new damage index $ID_{PM}$ is proposed and evaluated.

Název v anglickém jazyce

Damage assessment of earthquake dampers based on Preisach-Mayergoyz model

Popis výsledku anglicky

Preisach-Mayergoyz (PM) model of hysteresis can be used to evaluate the mechanical or ferromagnetic properties of different categories of hysteretic materials. The statistical PM space can be expressed as weighted combination of hysterons. A computer programme was designed for automatic numerical identification of the PM space probability density of hysterons within a class of distribution mixtures using optimization stochastic algorithms and $phi$-divergence measures. It was found that the FSA optimization technique (Fast Simulated Annealing), in combination with the Hellinger divergence measure between hysteretic loops, reliably founds the precise PM spaces of hysterons distributed along a mixture of two Guyer and parametrized Koen distributions. As an example, experimentally measured data of earthquake dampers are processed, the six identified PM spaces of six testing cycles for the dampers are presented and, based on them, new damage index $ID_{PM}$ is proposed and evaluated.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20501 - Materials engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

2018 16th Biennial Baltic Electronics Conference (BEC)

ISBN

978-1-5386-7312-6

ISSN

—

e-ISSN

1736-3705

Počet stran výsledku

4

Strana od-do

1-4

Název nakladatele

IEEE Computer Society

Místo vydání

USA

Místo konání akce

Tallinn

Datum konání akce

8. 10. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000457625500020