Atmospheric corrosion of structural metals ? methods of prediction of corrosion attack

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F25794787%3A_____%2F08%3A%230000321" target="_blank" >RIV/25794787:_____/08:#0000321 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Atmospheric corrosion of structural metals ? methods of prediction of corrosion attack

Original language description

Corrosion of structural metals exposed under atmospheric conditions depends on various factors such as local temperature, relative humidity, amount of precipitation, pH of rainfall, concentration of main pollutants (SO42-, Cl-, NOX, O3, etc.) and exposition time. An application of Artificial Intelligence in the form of Neural Networks (ANN) seems to be sophisticated way for prediction of atmospheric corrosion of structural metals. In cooperation of SVÚOM Ltd. Prague and TU Kosice prototype using live prediction artificial neural models was developed to assess corrosion rate of carbon steel based on long-term exposure data.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JK - Corrosion and material surfaces

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2008

Confidentiality

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

Article name in the collection

Eurocorr 2008

ISBN

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ISSN

0043-1648

e-ISSN

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Number of pages

8

Pages from-to

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Publisher name

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Place of publication

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Event location

Edinburgh

Event date

Jan 1, 2008

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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