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Validation of a self-developed corrosion model for the prediction of atmospheric corrosion of mild steel in Sri Lanka

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dc.contributor.author Adikari, AAMT
dc.contributor.author Munasinghe, RGN Ds S
dc.contributor.editor Jayasekara, AGBP
dc.contributor.editor Amarasinghe, YWR
dc.date.accessioned 2022-11-18T09:15:25Z
dc.date.available 2022-11-18T09:15:25Z
dc.date.issued 2017-05
dc.identifier.citation **** en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/19573
dc.description.abstract Among the different types of corrosion failures, Atmospheric corrosion accounts for many failures. The corrosivity of atmosphere mainly depends on the atmospheric variables such as relative humidity, temperature, salinity etc. Development of a relationship between corrosivity and environmental variables which is known as Corrosion modeling is widely used method for the determination of corrosivity of atmosphere. For the prediction of atmospheric corrosion a corrosion model was developed and the model was calibrated by the data obtained from field exposure test that was conducted for two years in four different places in Sri Lnaka. For the validation of model’s forecasting capability, the exposure test carried out for the calibration of model in two locations were continued up to five years and two exposure tests were conducted in another two different locations. According to the Test results the model shows good forecasting capability in the areas that are not more closure to coastal line. This paper describes the work carried out to validate the model for forecasting and prediction capability. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject Corrosion model en_US
dc.subject Atmospheric corrosion en_US
dc.subject Model validation en_US
dc.title Validation of a self-developed corrosion model for the prediction of atmospheric corrosion of mild steel in Sri Lanka en_US
dc.type Conference-Abstract en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Engineering Research Unit, Faculty of Engineering, University of Moratuwa en_US
dc.identifier.year 2017 en_US
dc.identifier.conference ERU Symposium 2017 en_US
dc.identifier.place University of Moratuwa en_US
dc.identifier.proceeding Proceedings of the ERU Symposium 2017 en_US
dc.identifier.email adikari@iti.lk en_US
dc.identifier.email nanda@mrt.ac.lk en_US


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