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Shrinkage in hydraulic materials is a complex time-dependent process.To achieve this goal, we had developed a prediction model based on probability density function and a small number of parameters that influence shrinkage such as relative humidity and volume to surface ratio of the element.The main purpose of this paper is to develop a new simplified model with a minimum of factors that affect drying shrinkage behaviour as like as relative humidity and V/S ratio.For standard concretes, drying shrinkage is the most important aspect of shrinkage.


Original text

Shrinkage in hydraulic materials is a complex time-dependent process. For standard concretes, drying shrinkage is the most important aspect of shrinkage. Various predictive models have been developed to predict shrinkage in concrete; most of them use many numbers of factors that can affect shrinkage such as concrete strength, concrete age at loading, curing conditions type, ambient conditions, cement type, type of aggregates, water-cement ratio, concrete mix, member shape and size, type and duration of loading. A such number of parameters increases the complexity of using these models lead to some prediction imperfections; thence a new simplified model is needed. The main purpose of this paper is to develop a new simplified model with a minimum of factors that affect drying shrinkage behaviour as like as relative humidity and V/S ratio. To achieve this goal, we had developed a prediction model based on probability density function and a small number of parameters that influence shrinkage such as relative humidity and volume to surface ratio of the element. A huge database has been used to calibrate the model's parameters using the most recent studies and researches to validate the model.


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