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Development of Stress Regression Model for 3 Dual Tandem Gear Aircraft Considering Environmental Loads

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  • URLhttps://db.koreascholar.com/Article/Detail/348295
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한국도로학회 (Korean Society of Road Engineers)
초록

The airport concrete pavement is gradually changing from the empirical design method proposed by the FAA to the mechanical design method. However, the complete mechanical design method has not yet been developed because it is difficult to consider designing due to various break types due to environmental load. FAAFIELD, a widely used finite element analysis program in existing airport pavement design, has yet to be considered for environment loads, although it has been continuously updated. Therefore, this study used ABAQUS instead of FAARFIELD as a finite element analysis program to consider the environmental load, and carried out the load quantification work of A380 aircraft and B777 aircraft corresponding to 3DT(3 Dual Tandem) gear. The traffic load information of 3DT gear aircraft was collected, and the environmental load due to temperature and humidity was converted into the equivalent linear temperature difference. Through the finite element analysis using ABAQUS, the prediction data of maximum tensile stress and location was collected when the two loads act to slab simultaneously. The factors affecting the maximum tensile stress in the finite element analysis are slab thickness, joint spacing, aircraft load, combined bearing capacity, and equivalent linear temperature difference, respectively. In order to examine the adequacy of the selected factors, sensitivity analysis for factors which affect maximum tensile stress was performed, and the stress regression model was developed. For this, a multiple regression analysis program SPSS was used and the stress regression equations for 3DT gear aircraft were calculated considering traffic and environmental loads. Through the developed stress regression model, it is possible perform the load quantification process of the 3DT gear aircraft for the mechanical design of the airport concrete pavement. In addition, the appropriateness of the regression model is verified by securing the high decision coefficient through SPSS. This study was supported by Incheon International Airport Corporation(BEX00625)

저자
  • Gyeong-Hoon Ma(Graduated Student, Department of Civil Engineering, Inha University)
  • Hae-Won Park(Graduated Student, Department of Civil Engineering, Inha University)
  • Yeo-Chan Yoon(Undergraduate Student, Department of Civil Engineering, Inha University)
  • Valeria Carlos Foquico(Undergraduate Student, Department of Civil Engineering, Inha University)
  • Jin-Hoon Jung(Professor, Department of Civil Engineering, Inha University)