Effect of low temperatures on the strength development of concrete

本提案的主要目的是确定低温对混凝土强度发展的影响。Giatec Scientific Inc.（GIATEC）是一家加拿大公司，专门为基础设施所有者和运营商提供综合数字和传感工具，以便他们能够更好地评估其资产状况并做出明智的决策。GIATEC目前正在开发一种无线传感器，可以在施工期间嵌入混凝土中，以便在施工期间和施工后以及整个使用寿命期间监测其物理和化学性能。该技术在混凝土行业中有许多应用，包括表面修整和模板剥离的时间预测，冬季混凝土加热优化，混凝土配合比设计优化以及混凝土养护条件的调整。需要进一步测试，以准确确定低环境温度对混凝土强度发展的影响。低温对混凝土强度发展的影响可能取决于混凝土配合比设计，因为微观结构和孔溶液化学性质的变化取决于胶凝材料的类型和水灰比。本项目的目的是通过实验确定低温对混凝土电阻率、温度和强度增益之间相关性的影响。实验计划将包括各种混凝土配合比设计在低温下随时间推移的强度增益的调查，并将用于优化算法，用于预测混凝土强度使用温度和电阻率读数。

The main objective of this proposal is to determine the effects of low temperature on strength development in concrete. Giatec Scientific Inc. (GIATEC) is a Canadian company specializing in the provision of integrated numerical and sensory tools for infrastructure owners and operators so that they can better evaluate the state of their assets and make informed decisions. GIATEC is currently developing a wireless sensor that can be embedded in concrete during construction in order to monitor its physical and chemical properties during and after construction as well as throughout its service life. This technology has many applications in the concrete industry including time predictions for surface finishing and formwork stripping, concrete heating optimization in winter, concrete mixture design optimization, and adjustment of concrete curing conditions. Further testing is needed to accurately determine the effect of low ambient temperatures on the strength development of the concrete. The effect of low temperatures on the strength development of concrete is likely dependent on the concrete mix design because the microstructure and pore solution chemistry changes depending on the type of cementitious materials and the water-cement ratio. The objective of this project is to experimentally determine the effect of low temperature on the correlation between electrical resistivity, temperature, and strength gain of concrete. The experimental program will include an investigation of the strength gain over time of various concrete mix designs subjected to low temperatures and will be used to optimize an algorithm for predicting the concrete strength using temperature and resistivity readings.