About: Prediction of Atmospheric Corrosion of Carbon Steel Using Artificial Neural Network Model in Local Geographical Regions

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://corrosionjournal.org/doi/pdf/10.5006/1.3595099
Description	Atmospheric corrosion of metals is a complex, nonlinear process. It involves a large number of interacting and varying factors governed by material composition, form, size, testing procedure, location of exposure, and type of application. Possible environmental factors include temperature, relative humidity, wet-dry patterns, hours of sunshine, pH of rainfall, amount of precipitation, concentration of main pollutants, etc. All factors are a part of the variables in artificial neural network (ANN) modeling. The most important variables are chosen from long-term experiences as elements in the development of a prototype “artificial intelligent sensor”—a model designed for the assessment of atmospheric corrosion of carbon steel under local geographical conditions. The variable impact analysis and 2D maps gave accurate prediction of the atmospheric corrosion of carbon steel. Future climatic scenarios, mainly the calculation of mass losses under different simulated concentrations of sulfur dioxide (SO2) during exposure time, are presented. Atmospheric corrosion of metals is a complex, nonlinear process. It involves a large number of interacting and varying factors governed by material composition, form, size, testing procedure, location of exposure, and type of application. Possible environmental factors include temperature, relative humidity, wet-dry patterns, hours of sunshine, pH of rainfall, amount of precipitation, concentration of main pollutants, etc. All factors are a part of the variables in artificial neural network (ANN) modeling. The most important variables are chosen from long-term experiences as elements in the development of a prototype “artificial intelligent sensor”—a model designed for the assessment of atmospheric corrosion of carbon steel under local geographical conditions. The variable impact analysis and 2D maps gave accurate prediction of the atmospheric corrosion of carbon steel. Future climatic scenarios, mainly the calculation of mass losses under different simulated concentrations of sulfur dioxide (SO2) during exposure time, are presented. (en)
Title	Prediction of Atmospheric Corrosion of Carbon Steel Using Artificial Neural Network Model in Local Geographical Regions Prediction of Atmospheric Corrosion of Carbon Steel Using Artificial Neural Network Model in Local Geographical Regions (en)
skos:prefLabel	Prediction of Atmospheric Corrosion of Carbon Steel Using Artificial Neural Network Model in Local Geographical Regions Prediction of Atmospheric Corrosion of Carbon Steel Using Artificial Neural Network Model in Local Geographical Regions (en)
skos:notation	RIV/25794787:_____/11:#0000421!RIV12-MSM-25794787
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(MSM2579478701)
http://linked.open...iv/cisloPeriodika	6
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Kreislová, Kateřina
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	SVÚOM s.r.o.
http://linked.open...dnocenehoVysledku	222710
http://linked.open...ai/riv/idVysledku	RIV/25794787:_____/11:#0000421
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	active corrosion management; artificial neural network; atmospheric corrosion; carbon steel; corrosion; corrosion prediction (en)
http://linked.open.../riv/klicoveSlovo	atmospheric corrosion active corrosion management corrosion prediction artificial neural network corrosion carbon steel
http://linked.open...odStatuVydavatele	US - Spojené státy americké
http://linked.open...ontrolniKodProRIV	[3B10CEA0B441]
http://linked.open...i/riv/nazevZdroje	Corrosion
http://linked.open...in/vavai/riv/obor	JK
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...UplatneniVysledku	2011
http://linked.open...v/svazekPeriodika	67
http://linked.open...iv/tvurceVysledku	Kreislová, Kateřina Halama, M. Van Lysebettens, J.
http://linked.open...n/vavai/riv/zamer	Research of methods for precision of metallic materials and their protective layers service life prediction from point of view pollution in environment
issn	0010-9312
number of pages	6 (xsd:int)
http://bibframe.org/vocab/doi	10.5006/1.3595099

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