31th Congress of the International Council of the Aeronautical Sciences

04.2 - Structural Analysis and Design, Structural Dynamics, Aeroelasticity

THERMAL-MECHNICAL COUPLING ANALYSIS AND OPTIMIZATION DESIGN ON TPS WITH GAP

S. Huoč, Q. Yanč, W. Xie, Harbin Institute of Technology , China; čAircraft Strength Research Institute, China

The connection area of the thermal protection system (TPS) of hypersonic vehicle is prone to be weak area due to the aerodynamic heat, structural matching and assembly technology, etc. However, the analysis of thermal protection structure always ignores the gap leading to error. In fine thermal structure design, it is needed to consider the local heat effect of the gap to get more accurate temperature distribution. The preliminary thermal protection component of heat insulation tiles was designed. Then a typical reentry condition was selected to study the influence of the tile gap on temperature distribution of the structure respectively under the two conditions of with gap and without gap. The results show that the temperature of the gap wall increases more obviously. The thermo-mechanical coupled analysis was carried out on the thermal protection component under the uniformly distributed aerodynamic pressure 11kPa. Because of the effect of aerodynamic load and thermal expansion, the top edges of the gap tiles contacted and the extrusion stress is 96kPa while the stress is 0kPa at room temperature. After the analysis on the preliminary thermal protection component, it can be seen that the material performance was not fully developed, and the tiles are extruded. Then, the thermo-mechanical coupled optimization model was set up using optimization platform Isight and FEM software Abaqus. The dimensions of thermal protection component was optimized based on gradient optimization algorithm, taking insulation tile height, gap width and strain isolation pad thickness as the design parameters, considering temperature, stress, expansion and deformation as design constraints, using the minimal mass per unit area as the objective function. After 170 times of iterative computation, the minimum mass per unit area was obtained. Compared to the optimization results of ignoring the local heat effect of the gap, the gap width decreased and the heat insulation tile height and the SI


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