Conventional airport concrete pavement design uses empirical design method presented by FAA but it is not accurate because it does not consider environment load. In case of mechanistic - empirical design method used overseas, it needs to be modified according to domestic conditions. In this paper, a stress regression model considering environmental load and dual tandem gear load is developed as a mechanical - empirical design process and verified by fatigue model calibration. First of all, literature review was conducted on airports using DT gear as a design aircraft among domestic airports, and the physical properties of concrete pavement layers of each airport were identified. In addition, the environmental load is divided into the temperature load and the moisture load, and the temperature load is calculated from the climatic data of the region where the domestic airport is located, and the moisture load is calculated through the drying shrinkage prediction model developed through the previous study. The stresses occurring in concrete slabs under environmental loads and traffic loads were predicted using FEAFAA, which is a finite element analysis program, and factors predicted to affect concrete pavement were selected for the stress regression.As a result of the sensitivity analysis of the selected factors, the joint spacing, slab thickness, gear load, and road bearing capacity coefficient affected the stress behavior of the slab by more than 5% of the reference stress.According to the mechanical design, the finite element analysis was carried out for the consideration of only the traffic load and the environmental load and the traffic load based on the design factors. Based on the analysis results, multiple regression analysis was performed using the statistical analysis program SPSS and the stress regression equation was calculated. Then, the stress model for the environmental load and the traffic load was calculated and the final stress model with each stress model as the independent variable was derived. Using the calculated stress regression model, the stress was calculated and the bending strength of the concrete was divided to calculate the stress - to - strength ratio, and the appropriate fatigue model was selected and the correction was performed by the least squares method. This study was supported by Incheon International Airport Corporation(BEX00625)

The plant cell wall is an extracellular matrix, which can be viewed as a multifunctional subcellular compartment involving many fields of research: growth and development, plant-pathogen interactions, stress, cell-to-cell signaling, metabolic processes, biomaterials and biofuels, and many others. Given its importance, much of the research effort has been directed toward investigating the plant cell walls containing plant cell wall proteins, which are essential constituents of plant cell walls and play essential roles in many biological processes, and yet there is still not a distinct repertoire of the plant cell wall proteins. Several functional screen procedures including a yeast secretion trap, an Agrobacterium-mediated transient expression assay and a subcellular localization study, have been recently optimised to confirm secretion and localization of an ever-growing list of plant cell wall proteins. These functional screen approaches collectively provide a powerful suite of means to identify and characterize a dynamic and complex plant cell wall proteome. Thus, the potential outcomes of plant cell wall functional genomics will enable plant breeding programs to develop new strategies for improvement of crop quality.