Accurate quantification of early-age tensile creep is vital to determine the stress build-up and the related crack sensitivity of concrete structures. Performing tensile creep testing in concrete is a challenging task and therefore reliable test data reported in literature is rather limited. The available test data indicates a large scatter and there is no consensus in the scientific community regarding early-age basic creep in tension. Besides, most of the prediction models in design codes are mainly calibrated using long-term compressive creep test data and their capabilities for predicting early-age tensile creep remain questionable. This paper first presents a comprehensive set of test data on early-age tensile creep of high-performance concrete using two unique methods, namely a Temperature Stress Testing Machine and a direct tensile test setup. The reliability of the collected data is demonstrated through the good agreement between the test data generated by these two test setups. Autogenous shrinkage measurements are performed simultaneously and used for determining basic tensile creep profiles. The governing factors affecting tensile creep including loading age, strength and temperature are experimentally explored in depth. The limitations of the widely utilized basic creep prediction model in the fib Model Code 2010 are identified. Based on the newly measured test data, modifications to the existing model are proposed. The proposed model better reflects not only the data collected in this study, but also that in other published data, thereby highlighting the capabilities of this model for accurate assessment of early-age basic tensile creep of high-performance concrete.

早期拉伸蠕变的准确量化对于确定混凝土结构的应力积累和相关的裂缝敏感性至关重要。在混凝土中进行拉伸蠕变测试是一项具有挑战性的任务，因此文献中报道的可靠测试数据相当有限。可用的测试数据表明存在很大的分散性，科学界对早期基本的紧张蠕变没有达成共识。此外，设计规范中的大多数预测模型主要使用长期压缩蠕变试验数据进行校准，其预测早期拉伸蠕变的能力仍然存在问题。本文首先使用两种独特的方法提供了一套关于高性能混凝土早期拉伸徐变的综合测试数据，即温度应力试验机和直接拉伸试验装置。通过这两个测试设置生成的测试数据之间的良好一致性，证明了所收集数据的可靠性。自收缩测量是同时进行的，用于确定基本的拉伸蠕变曲线。通过实验深入探讨了影响拉伸蠕变的控制因素，包括加载年龄、强度和温度。确定了 fib 模型代码 2010 中广泛使用的基本蠕变预测模型的局限性。根据新测量的测试数据，建议对现有模型进行修改。所提出的模型不仅更好地反映了本研究中收集的数据，而且还反映了其他已发表数据中的数据，