Wang Zhaoqiang, Zhang Zhonglei, Bai Shaokai, Zhao Yanbo, Ji Yongcheng
Qingdao Municipal Engineering Design and Research Institute Co., Ltd., Qingdao 266100, China.
School of Civil Engineering and Transportation, Northeast Forestry University, Harbin 150040, China.
Polymers (Basel). 2025 May 10;17(10):1304. doi: 10.3390/polym17101304.
With the intensification of global climate change, the issue of snow and ice accumulation on roads during winter has become increasingly severe, prompting the widespread application of salt-storage asphalt mixtures in highway construction of alpine regions due to their ability to sustainably release salts for snowmelt. The incorporation of salt-storage fillers significantly compromises the road performance of asphalt mixtures, particularly exacerbating deterioration in low-temperature crack resistance and moisture stability while accelerating pavement distress. Although fiber reinforcement technology has been validated for enhancing asphalt mixture performance, conventional fibers suffer from high production costs and inadequate environmental sustainability. The rapid expansion of the wind energy sector in recent years has generated substantial quantities of retired wind turbine blades (rWTB), posing a global challenge for recycling. This study proposes utilizing rWTB in salt-storage asphalt mixtures and investigates their road performance and underlying mechanisms through experimental analysis. The results demonstrate that rWTB fiber addition markedly improves the mechanical properties of salt-storage asphalt mixtures, yet excessive fiber dosages (>0.3%) induce localized fiber agglomeration, thereby slowing or reversing optimization trends. Given the multi-objective optimization challenge of rWTB fiber incorporation, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) algorithm was employed as an optimization tool. In-depth analysis yielded four distinct optimal fiber dosage schemes with performance-oriented priorities: 0.2848%, 0.2903%, 0.2881%, and 0.2882%. These findings provide novel insights for rWTB resource recycling and scientific evidence for enhancing the performance of salt-storage asphalt mixtures.
随着全球气候变化加剧，冬季道路冰雪堆积问题日益严峻，促使储盐沥青混合料因其可持续释放盐分用于融雪的能力而在高寒地区公路建设中得到广泛应用。储盐填料的加入显著损害了沥青混合料的路用性能，尤其加剧了低温抗裂性和水稳定性的劣化，同时加速了路面病害。尽管纤维增强技术已被证实可提高沥青混合料性能，但传统纤维生产成本高且环境可持续性不足。近年来风能行业的迅速扩张产生了大量退役风力涡轮机叶片（rWTB），给回收带来了全球性挑战。本研究提出在储盐沥青混合料中利用rWTB，并通过实验分析研究其路用性能及潜在机制。结果表明，添加rWTB纤维显著改善了储盐沥青混合料的力学性能，但纤维用量过多（>0.3%）会导致局部纤维团聚，从而减缓或逆转优化趋势。鉴于加入rWTB纤维的多目标优化挑战，采用理想解法排序法（TOPSIS）算法作为优化工具。深入分析得出了四种不同的以性能为导向的最佳纤维用量方案：0.2848%、0.2903%、0.2881%和0.2882%。这些发现为rWTB资源回收提供了新见解，并为提高储盐沥青混合料性能提供了科学依据。
