The invention provides a long-term expansion prediction method and device for an aged steel
slag asphalt mixture, and relates to the field of material testing. The method comprises the following steps: manufacturing a standard steel
slag test piece through a preset treatment method, and respectively obtaining a plurality of target masses corresponding to the standard steel
slag test piece under different experimental conditions according to preset steps; calculating the corresponding first
bulk density of the standard steel slag test piece before expansion according to the
multiple target masses; placing the standard steel slag test piece in a target constant-temperature and constant-pressure environment for stacking operation; obtaining a plurality of target aging masses corresponding to the standard steel slag test piece under different experimental conditions according to preset steps after a preset time period; according to the
multiple target aging masses, the corresponding second
bulk density of the standard steel slag test piece after expansion is calculated; calculating
volume expansion rate data corresponding to the standard steel slag test piece according to the first
bulk density and the second bulk density; acquiring
volume expansion rate data of the standard steel slag test piece in a plurality of different times according to the selected time; and inputting the
volume expansion rate data at different times into the prediction model, and outputting the predicted
expansion rate corresponding to the standard steel slag test piece through the prediction model. According to the method, the problems that the long-term expansion behavior prediction of the steel slag
asphalt mixture is insufficient and the change trend of the
expansion rate along with time cannot be accurately mastered due to the lack of effective data fitting in the traditional method are solved.