Abstract
Abstract
Concrete creep, defined as the deformation of concrete under sustained load, can cause cracks in tensile members, redistribution of stresses over time in composite structures, loss of prestressing force in prestressed concrete elements, and excessive long-term deflection of structural members. The concrete creep coefficient is an important input in many calculations and analyses of reinforced concrete structures. Currently, the concrete creep coefficient has been predicted by many models such as the Eurocode 2 model. This study aims to improve the prediction of the Eurocode 2 creep coefficient model at long-term by implementing a correction coefficient into the model. The Northwestern University database is used and the correction coefficient is calculated using Bayesian inference. The accuracy and efficient of the proposed improvement and modification are demonstrated through statistical indicators.