###### Abstract  
The construction and expansion of high-speed railway networks in China has been occurring at a fast pace, resulting in some lines crossing through coal mine goaf sites. However, the embankment and train loads may trigger the activation of the coal mine goaf ground, posing a threat to traffic safety. To ensure the safety of construction and railway lines, an evaluation model on the activation classification of coal mine goaf ground, taking into account the high-speed railway load, is proposed, which is mainly applicable for middle-deep and level goaf areas using a longwall mining method. Firstly, 12 influencing factors are selected as the underlying evaluation indexes, and the catastrophe progression method model for evaluating the coal mine goaf ground stability is constructed. The findings of the evaluation were found to align with the actual results, indicating the reliability of the model. Then, the additional stress calculation model for high-speed railway ground with different embankment heights, train speeds, and axle loads was established, and the train load disturbance depth with a 5% criterion was determined. The influence degree of load on high-speed railway was divided, and the weight of each factor was determined. Finally, the extension comprehensive evaluation method was used to unite the stability grade of the coal mine goaf site and the influence degree of the train, so the evaluation model on activation classification was proposed. The accurateness and reliability of the proposed model was verified using the Taijiao high-speed railway cases and the model test. coal mine goaf ground; activation classification; high-speed railway; catastrophe progression method; model test +
Footnote †: journal: selected  
stability evaluation outcomes, based on the fuzzy characteristics of coal mine goat stability evaluation and treatment measure decision-making, [PERSON] et al. [4] employed a double-layer method of fuzzy comprehensive evaluation to construct a model for assessing the coal mine goat stability. In their analysis of stability problems, [PERSON] and [PERSON] [5] considered a probabilistic approach. A method of Bayes discriminant analysis was presented by [PERSON] and [PERSON] [6] to detect the risk of complicated goals in mines. Through the use of a newly developed viscoelastic model, [PERSON] et al. [7] examined the creep failure of a roof stratum supported by pillars in goat. To analyze and evaluate the stability of coal mine goats, [PERSON] et al. [8] put forward a three-zone model. According to the research conducted by [PERSON] et al. [9], a total of 1320 numerical simulation models were established in order to investigate the impact of surface traffic facilities due to shallow-buried room-and-pillar mine goat ground. They highlighted the significant influence of seasonal water-level fluctuations on the stability of the overlying strata and the surface within the coal mine goat ground. In a different study, [PERSON] et al. [10] put forth an enhanced TrAdaBoost algorithm by incorporating the notion of a dynamic factor. This modification aimed to enhance the algorithm's generalizability across various samples of coal mine goat ground. Using the Reissner theory as a foundation for thick plates, [PERSON] et al. [11] devised a model for evaluating the potential risks associated with instability at expressway construction sites. This model incorporated seven key factors for assessment and leveraged fuzzy theory. Taking into account the impact of roof material characteristics, [PERSON] et al. [12] conducted an analysis on roof stability using a calculation approach rooted in material resistance. [PERSON] and [PERSON] [13] analyzed the weight relationships of the influencing factors of the stability of the old goat and predicted the occurrence probability of the surface collapse pit through the fuzzy set theory. [PERSON] et al. [14] introduced an innovative ANN model along with its accompanying \"optimal\" hyperparameters.