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A sensitivity study of parameters used in shrinkage and creep prediction models

机译:收缩和蠕变预测模型中使用的参数的敏感性研究

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Over the last 15 years, there have been numerous models put forward for the prediction of the time-dependent behaviour of concrete and consequently concrete structures. The development of these models from a number of different sources has meant that the engineer now has a choice to make when undertaking creep and shrinkage prediction and it is difficult to know which is best suited for this purpose. Some are considerably more complex than others requiring greater amounts of input focusing on material data, concrete properties, environmental conditions, specimen geometry and loading conditions. The study reported here focuses on the sensitivity to change, in both the short term and over time, of the individual parameters that comprise the input and whether one model is more appropriate in any given situation. It has been found that for each model certain parameters are more sensitive than others. It is suggested that for any given model, the parameters that do not reflect the expected behaviour when changed counterbalance each other, cancelling out any errors. This further suggests that when deciding on which model to use when predicting shrinkage and creep strains it is prudent to look at the specific conditions that prevail, assess the relevant input parameters for which data are available, assess the sensitivity level of each of these parameters and then make a decision as to the most appropriate model to use.
机译:在过去的15年中,已经提出了许多模型来预测混凝土以及混凝土结构随时间的行为。这些模型是从许多不同的来源发展而来的,这意味着工程师现在可以在进行蠕变和收缩预测时做出选择,并且很难知道哪个最适合此目的。有些比其他复杂得多,而其他一些则需要大量输入,重点是材料数据,混凝土性能,环境条件,样品几何形状和加载条件。此处报道的研究重点在于,短期和长期内,构成输入的各个参数的变化敏感度,以及在任何给定情况下一个模型是否更合适。已经发现,对于每个模型,某些参数比其他参数更敏感。建议对于任何给定的模型,当更改时不能反映预期行为的参数相互抵消,从而消除所有错误。这进一步表明,在决定预测收缩和蠕变应变时使用哪种模型时,应谨慎考虑普遍存在的特定条件,评估可获得数据的相关输入参数,评估每个参数的敏感度水平,以及然后决定要使用的最合适的模型。

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