In order to determine the key content of preventive maintenance of the cement concrete pavement in military airports in the seasonal frozen area, the relationship among pavement diseases is analyzed in this paper, and the degree of impact of each disease on pavement damage is quantified. Based on the survey data of 36 sample airports in 12 provinces, such as Hebei, Shandong, and Liaoning, a questionnaire covering many disease variables affecting pavement damage was designed. The exploratory factor analysis method and structural equation model (SEM) were used to analyze the interaction among joint disease, surface disease, vertical disease, repair disease, and fracture disease. And the influence degree of each disease on pavement damage was quantified as well. The research results show that the questionnaire has good reliability and validity and is suitable for confirmatory factor analysis. The SEM fits well with the observed data and meets the adaptation standard. Joint disease, surface disease, and vertical disease all have significant positive direct impact on pavement damage. Moreover, joint disease and surface disease can also indirectly affect pavement damage. The effects of surface disease (0.327), vertical disease (0.283), and joint disease (0.219) on pavement damage decrease in turn. Surface diseases have the greatest impact on pavement damage, which are the critical diseases to accelerate the pavement damage. By strengthening the prevention and control of surface diseases and delaying the conversion process of other diseases to surface diseases, the service life of the pavement can be greatly improved, and the maintenance cost can be reduced.

In this paper, we analyze the domestic scholars about the airport runway capacity evaluation model, and they are mainly the analysis and introduction of some commonly used runway capacity evaluation methods and specific runway capacity evaluation models. These models respectively include the takeoff and landing capacity of aircraft, and give the calculation methods of runway capacity in various cases. By seeking the similarities and differences of these evaluation models, the future research focus and direction are put forward.

In order to obtain the criteria for preventive maintenance of cement pavement in military airport, based on the basic assumption of flatness-dynamic load interaction in the decay process of cement pavement, derivative inflection point is adopted. The method solves the relationship between the International roughness index (IRI) and the pavement damage index (L), and obtains the IRI critical value of the cement pavement when the L decay is the fastest. After the analysis and verification, the judgment standard of the cement pavement IRI is obtained. This paper analyzes the related research results of the preventive maintenance standard range of pavement condition index (PCI), summarizes and concludes the judgment standard of pavement PCI, and gets the PCI-L relation based on L-IRI and PCI-IRI relation, and finally gets the judgment standard of L. Based on the current situation that our army still mainly adopts the three-meter ruler for flatness test and a large number of measured data, a three-meter ruler average gap and a pavement IRI correlation relationship are established, which realizes the conversion between the two. Based on the current situation of less accumulation of performance test data of cement pavement in military airport, the damage condition and flatness data of several cement pavement in similar environment are fitted and analyzed by using the method of space generation time, and the specific parameters of the model are obtained.

Different types of distresses affect cement concrete pavement at different degrees. The determination of dominant distresses of the pavement preventive maintenance (PM) and its judgement standard can provide corresponding basis for PM decision. In this paper, 22 military airports in Northeast China, such as Heilongjiang Province, Jilin Province, and Liaoning Province, were selected to collect the data of pavement distresses. Based on the structural equation model (SEM), the structural relationship between the influencing factors of each distress and the pavement damage was established, and the goodness-of-fit of the model was tested. In addition, through path analysis, the influence degree of five kinds of latent variables such as joint distress, surface distress, vertical distress, repair distress, and fracture distress on pavement damage was obtained. Four distresses, such as corner peeling, surface peeling, surface crack, and interplate slip, were identified as the dominant distresses of PM of cement concrete pavement. On this basis, a binary classification model of confusion matrix was constructed. The basic evaluation index, receiver operating characteristic (ROC) curve, and Kolmogorov–Smirnov (KS) curve were used to comprehensively determine the judgement standard of the dominant distresses of pavement PM from multiple evaluation angles (corner peeling rate ≤ 35%, surface peeling rate ≤ 30%, surface crack rate ≤ 8%, and interplate slip rate ≤ 0.5%). The judgement standard can be combined with the corresponding prediction model to determine the optimal timing of PM of cement concrete pavement and provide pavement maintenance managers with the support of decision-making.