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Hydration Modeling for Improved Curing Process Prediction in Concrete Construction

机译：水化模型，改善混凝土施工中的养护过程

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The execution of the typical processing steps brushing, cutting and grinding on a concrete road construction site depends on defined mechanical properties of the concrete. For example, to get a nonslip and low noise surface the processing has to be performed at a time not too early, not too late, where the concrete has suitable strength. Temperature can be used as a simple guideline for determining the concrete’s curing degree. Thus, a temperature-based curing model can support the manufacturer in determining the correct time slot for road post-processing. In this work a model for predicting the heat profile and thus the degree of hydration is presented. The model complexity of a distributed model commonly used in literature is reduced. The model is validated based on an extensive experimental program. Since concrete properties vary depending on the used recipe, the model parameters need to be adapted for every concrete. Thus, a parameter optimization problem is set up and solved. The identification procedure is cross-validated and the optimal parameters are presented. Finally, the results of the model are discussed.
机译：在混凝土道路施工部位上刷涂，切割和研磨的典型加工步骤的执行取决于混凝土的定义机械性能。例如，为了得到一个非噪声和低噪声表面，必须在不太早，而不是太晚的时间进行处理，其中混凝土具有合适的强度。温度可用作确定混凝土固化度的简单指南。因此，基于温度的固化模型可以支持制造商确定用于道路后处理的正确时隙。在这项工作中，提出了一种用于预测热谱的模型，从而提高水合度。文献中常用的分布式模型的模型复杂性降低。该模型基于广泛的实验计划验证。由于混凝土特性根据使用的配方而变化，因此需要适用于每个混凝土的模型参数。因此，设置并解决了参数优化问题。识别过程是交叉验证的，并且呈现了最佳参数。最后，讨论了模型的结果。

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