Cai Xinhe, Li Feng, Li Kangping, Ning Zhiyuan, Dong Jing
Powerchina Northwest Engineering Corporation Limited, Xi'an 710065, China.
State Key Laboratory of Water Engineering Ecology and Environment in Arid Area, Xi'an University of Technology, No. 5 Jinhua Road, Xi'an 710048, China.
Materials (Basel). 2025 Aug 7;18(15):3706. doi: 10.3390/ma18153706.
Hydraulic asphalt concrete (HAC) is susceptible to performance deterioration under long-term water immersion. This study conducted compressive, tensile, and bending tests on HAC under various immersion times (0-96 h), established a multidimensional performance evaluation method, and developed a service-life prediction model for long-term water immersion. The average relative error between test values and predicted values was less than 5%, validating the model's effectiveness and applicability. Results indicate that the rate of mechanical property degradation exhibits stage-dependent characteristics with immersion time, and the water damage resistance of alkaline aggregate is significantly superior to that of acidic aggregate. The predictive model shows that after 192 h of immersion, the retention rate of key mechanical properties for the alkaline aggregate reaches 92.71%, while that for acidic aggregate was only 73.85%. This study establishes a predictive model that provides a theoretical basis for assessing the lifespan of HAC under long-term immersion conditions.
水性沥青混凝土（HAC）在长期水浸条件下易发生性能劣化。本研究对不同浸水时间（0 - 96小时）的HAC进行了抗压、抗拉和弯曲试验，建立了多维性能评价方法，并开发了长期水浸条件下的使用寿命预测模型。试验值与预测值之间的平均相对误差小于5%，验证了模型的有效性和适用性。结果表明，力学性能退化速率随浸水时间呈现阶段性特征，碱性集料的抗水损害性能明显优于酸性集料。预测模型显示，浸水192小时后，碱性集料关键力学性能的保留率达到92.71%，而酸性集料仅为73.85%。本研究建立的预测模型为评估长期浸水条件下HAC的使用寿命提供了理论依据。
