Multi-criteria optimization of composite panels with rib reinforcement under combined loading

Purpose. The study is aimed at finding a constructive balance between the mass and cost of composite panels with stiffeners that are subjected to combined loading. The optimization was carried out taking into account real operation conditions, when a slight improvement in one of the parameters can significantly affect the efficiency of the structure. Design / Method / Approach. The work integrates engineering mechanics and mathematical modeling with the construction of a vector optimization model, for the solution of which the procedure of forming an integral quality criterion was applied, which considers expert assessment and the principle of guaranteed results. Conclusions. The proposed methodology allows not only to determine the optimal structural parameters for panels with different reinforcement options but also provides flexibility for adaptation to variable loads and constraints. The model was successfully tested on the example of six load scenarios for panels with rectangular and angular ribs. Theoretical implications. The development contributes to the development of multi-criteria optimization of composite structures, in particular by refining models and expanding the principles of evaluating the trade-off between criteria. This lays the foundation for further research in the field of aircraft design, where criteria may contradict each other. Practical implications. The results formed the basis for the creation of a software package that allows for the determination of the most appropriate options for structural reinforcement depending on the constraints and requirements. Originality / Value. The human-machine decision-making system underlying the approach allows for expert intuition to be considered without losing the accuracy of mathematical modeling. This is extremely valuable for industries where every gram of weight and every hryvnia of costs are critical. Research limitations / Further research. The main limitation is the focus on only two criteria – mass and cost. Further exploration should be directed towards expanding the number of indicators. Article Type. Applied Research.