Predicting compressive creep of SCC based on model B4TW-SCC: Optimization method and experimental

Abstract

Many prediction models have been developed to address the disadvantages of creep, which is induced by a
constant load on concrete structures, such as cracks, deflections, serviceability failures, and reduced long-term
performance. However, the available models still lack accuracy in predicting the compressive creep of concrete,
particularly in the case of self-compacting concrete (SCC), which differs from conventional concrete in its
composition. Therefore, the model B4TW-SCC was calibrated using the B4 model to meet the SCC database
requirements. The optimization of the new prediction model was carried out by evaluating statistical factors and
the weighting plan, which subdivided the 266 test curves in the laboratory database into independent variables.
The developed prediction model performed better than the other models, based on both the SCC database and
experimental results in this study, which were conducted on the creep behaviour of SCC containing fly ash in
different contents, 20% and 40% by mass of cementitious material.