Xu Yongkang, Xie Quanmin, Zhou Hui, Jia Yongsheng, Zheng Zhibin, Pan Chong
State Key Laboratory of Precision Blasting, Jianghan University, Wuhan 430056, China.
Hubei Key Laboratory of Blasting Engineering, Jianghan University, Wuhan 430056, China.
Materials (Basel). 2025 Aug 2;18(15):3642. doi: 10.3390/ma18153642.
In high geothermal tunnels (>28 °C), curing temperature critically affects early-age concrete mechanics and durability. Uniaxial compression tests under six curing conditions, combined with CT scanning and machine learning-based crack analysis, were used to evaluate the impacts of curing age, temperature, and fiber content. The test results indicate that concrete exhibits optimal development of mechanical properties under ambient temperature conditions. Specifically, the elastic modulus increased by 33.85% with age in the room-temperature group (RT), by 23.35% in the fiber group (F), and decreased by 26.75% in the varying-temperature group (VT). A Weibull statistical damage-based constitutive model aligned strongly with the experimental data (R > 0.99). Fractal analysis of CT-derived cracks revealed clear fractal characteristics in the log(Nr)-log(r) curves, demonstrating internal damage mechanisms under different thermal histories.
在高地热隧道(>28°C)中,养护温度对早期混凝土力学性能和耐久性有着至关重要的影响。通过六种养护条件下的单轴压缩试验,结合CT扫描和基于机器学习的裂缝分析,来评估养护龄期、温度和纤维含量的影响。试验结果表明,混凝土在环境温度条件下力学性能呈现出最优发展。具体而言,室温组(RT)弹性模量随龄期增长33.85%,纤维组(F)增长23.35%,变温组(VT)下降26.75%。基于威布尔统计损伤的本构模型与实验数据高度吻合(R>0.99)。对CT扫描得到的裂缝进行分形分析,在log(Nr)-log(r)曲线中呈现出明显的分形特征,揭示了不同热历史下的内部损伤机制。