Performance Prediction Method of Bridge Asphalt Pavement Material Based on Grey Theory

Xulan Gui, Xinghang Long, Weiwei Zhan
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Abstract

Under the combined action of natural environment and traffic load, the performance of asphalt pavement materials for asphalt concrete bridges is declining, which directly affects the speed of vehicles and the safety, economy and comfort of transportation. Therefore, according to the series grey prediction theory of grey system theory, the index prediction model is established for the basic indexes (PCI, SSI, RQI, SFC) in the service performance of bridge asphalt pavement, and the accuracy of the model is verified by residual error and correlation degree. Through the case analysis, it is concluded that the prediction results of the prediction model are similar to the actual situation, and the corresponding maintenance measures are put forward according to the prediction results. The research conclusions can provide a strong reference for the operation management and maintenance of highway bridges, and have certain guiding significance for improving the durability of bridges.
基于灰色理论的桥梁沥青路面材料性能预测方法
在自然环境和交通荷载的共同作用下,沥青混凝土桥梁用沥青路面材料的性能不断下降,直接影响车辆的行驶速度和运输的安全性、经济性和舒适性。因此,根据灰色系统理论中的序列灰色预测理论,对桥梁沥青路面使用性能的基本指标(PCI、SSI、RQI、SFC)建立指标预测模型,并通过残差和关联度验证模型的准确性。通过案例分析,得出预测模型的预测结果与实际情况较为接近,并根据预测结果提出相应的维护措施。研究结论可为公路桥梁的运营管理和养护提供强有力的参考,对提高桥梁耐久性具有一定的指导意义。
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