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

dc.contributor.authorAdikari, AAMT
dc.contributor.authorMunasinghe, RGNDe S
dc.date.accessioned2018-08-27T19:50:50Z
dc.date.available2018-08-27T19:50:50Z
dc.date.issued2017
dc.description.abstractAmong 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.identifier.conferenceMoratuwa Engineering Research Conference - MERCon 2017en_US
dc.identifier.departmentDepartment of Materials Science and Engineeringen_US
dc.identifier.emailadikari@iti.lken_US
dc.identifier.emailnanda@mrt.ac.lken_US
dc.identifier.facultyEngineeringen_US
dc.identifier.placeMoratuwa, Sri Lankaen_US
dc.identifier.urihttp://dl.lib.mrt.ac.lk/handle/123/13432
dc.identifier.year2017en_US
dc.language.isoenen_US
dc.subjectCorrosion modelen_US
dc.subjectsteel structures
dc.subject
dc.titleValidation of a self-developed corrosion model for the prediction of atmospheric corrosion of mild steel in Sri Lankaen_US
dc.typeConference-Abstracten_US

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