Aircraft structure function integrated design platform system based on uncertain optimization

Abstract

The invention discloses an aircraft structure function integrated design platform system based on uncertain optimization. The aircraft structure function integrated design platform system is composed of a system framework program and seven sub-modules comprising a pneumatic shape design optimization module, a forecabin thermal protection system design optimization module, a wing thermal protection system design optimization module, a composite cooled structure design optimization module, a wing heat-protection load-bearing integrated structure optimization module, a wing pneumatic/structure/thermal coupling optimization analysis module and a basic database module. An integrated design of the platform is achieved on the basis that certain analysis optimization and uncertain analysis optimization of system functions of each structure are carried out. The platform integrates an aerodynamic force/heat database, an integrated model database and various algorithms into the system, and a convenient tool is provided for non-professionals to carry out an integrated design.

Description

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AI Technical Summary

Benefits of technology

In this new technology, different types of methods can be used together to solve uncertain issues more efficiently than previous systems. These techniques include integration between models or selecting an optimized solution from previously selected ones without requiring any modifications afterward. Overall, these improvements make it easier for technicians working alongside complex structures that require precise knowledge about their problem addressed by current solutions.

Problems solved by technology

This patented describes a challenge with uncertified multiathlon optimum design processes involving complicated loops and unknown variables such as those involved during flight operations. These issues have led to difficulties in achieving reliable results despite advancements made over time through computer science techniques like regression analysis and machine learning. Current solutions involve either consolidation of irrelevant calculations into one area followed by exploring new areas where relevant computations can occur, resulting in increased complexity and difficulty in implementing these strategies within the optimized solution space.

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