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Prediction of Drying Shrinkage for Internally Cured HPC

机译:内固化HPC的干缩预测

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In this research, ten different high performance concrete (HPC) mixtures internally cured by pre-wetted lightweight fine aggregate (LWFA) and/or shrinkage reducing admixture (SRA) were cast and their drying shrinkage strain was monitored using the ASTM C157 test. The data collected was used to evaluate six shrinkage prediction models, namely, ACI 209 model, CEB90 model, AASHTO model, B3 model, GL2000 model and ALSN model. The study finds that the GL2000 model shows the best overall performance in predicting shrinkage strain for internally cured HPC. However, more accurate long-term shrinkage prediction can be achieved based on the current ACI 209 model with experimental measurements. This proposed procedure is capable to predict long-term drying shrinkage for concrete using local materials mixture by using short-term experimental measurements.
机译:在这项研究中,浇铸了十种通过预湿的轻质细骨料(LWFA)和/或减缩剂(SRA)内部固化的不同高性能混凝土(HPC)混合物,并使用ASTM C157测试监控了它们的干燥收缩应变。收集的数据用于评估六个收缩预测模型,即ACI 209模型,CEB90模型,AASHTO模型,B3模型,GL2000模型和ALSN模型。研究发现,GL2000模型在预测内部固化的HPC的收缩应变方面显示出最佳的整体性能。但是,基于当前的ACI 209模型和实验测量值,可以实现更准确的长期收缩预测。该提议的程序能够通过短期实验测量来预测使用本地材料混合物的混凝土的长期干燥收缩率。

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