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Durability models for GRC: uncertainties on strength predictions
Journal Contribution - Journal Article
Even though several models exist in literature to predict the strength durability of glass fibre
(textile) reinforced concrete (GRC), a considerable gap still exists between theory and practice. No real
guidelines are available for testing, model calibration and model selection. This work analyses all
uncertainties in the GRC strength durability determination process. The paper addresses the
determination of the best approximating model by applying a statistical model selection method
(Akaike's Information Criterion AIC) on an extensive series of accelerated ageing tests; a theoretical
approach is presented which enables the user to check the reliability of the model selection. A method
is presented for the determination of the uncertainty in the strength prediction, taking into account
both the statistical distribution present on the (tensile) strength of the GRC-material as well as the
effect of model calibration based on a limited set of accelerated ageing tests.
(textile) reinforced concrete (GRC), a considerable gap still exists between theory and practice. No real
guidelines are available for testing, model calibration and model selection. This work analyses all
uncertainties in the GRC strength durability determination process. The paper addresses the
determination of the best approximating model by applying a statistical model selection method
(Akaike's Information Criterion AIC) on an extensive series of accelerated ageing tests; a theoretical
approach is presented which enables the user to check the reliability of the model selection. A method
is presented for the determination of the uncertainty in the strength prediction, taking into account
both the statistical distribution present on the (tensile) strength of the GRC-material as well as the
effect of model calibration based on a limited set of accelerated ageing tests.
Journal: Plastics, Rubber & Composites
ISSN: 1465-8011
Issue: 2
Volume: 41
Pages: 77-87
Publication year:2012
Keywords:glass fibres, GRC, durability, ageing, AIC, predictions