Uncertainty on the strength durability preditions of GRCs

The durability of glass fibre reinforced concrete remains a widely study topic. Within literature several models for strength durability predictions have been made available. However when one wants to perform strength predictions it is not clear which model is the best approximating model for the data set at hand. Therefore in this paper an objective and effective method for the selection of the best approximating model based on a sound statistical background is presented and illustrated. This method is based on Akaike's Information Criterion and not only takes into consideration the vertical distances between the modeled and the experimental values but also the number of parameters which need to be determined and number of data points in the data series.