An Automatic and Semi-automatic Iterative Digital Prototyping Optimization Parallel Collaborative Design Method

Abstract

The invention discloses an automatic and semi-automatic iterative digital prototype optimization parallel collaborative design method. Firstly, the multi-layer calculation sequence and the initial sub-interval of the multi-layer joint optimization are determined. Secondly, use the single-layer prior information, combined with the judgment of artificial or convergence criteria, to determine the function fitting and its reliability in the control area of ​​the prior distribution point, if the next optimization falls within this area, then it can be According to the feasibility, the point value of the fitting function is used instead. Finally, after obtaining multiple single-layer information, the optimal subinterval division strategy for the next iteration is merged and determined, such as unchanged, split, merged, and then in the new Continue to optimize iteratively and repeat the above process until convergence in the sub-interval of , and the final design point that satisfies multi-layer joint optimization can be obtained at the same time. Under the premise of ensuring the reliability of the optimization results, this method reduces the iterative analysis times of the multidisciplinary analysis in the process of aircraft structure optimization, reduces the calculation cost, and improves the optimization efficiency.

Description

technical field [0001] The invention relates to the technical field of structural optimization design, in particular to an automatic semi-automatic iterative digital prototype optimization parallel collaborative design method. Background technique [0002] Hypersonic vehicles and other advanced aircraft often have structural influences caused by multidisciplinary coupling such as structural statics / dynamics, aerodynamics, and aeroelasticity in the process of digital prototype design. On the one hand, the complex service environment of multi-field coupling causes difficulties in solving multidisciplinary calculations, and also affects the structural optimization design process, such as the optimization process is time-consuming and it is difficult to find the optimal solution. The traditional multi-disciplinary multi-constraint optimization solution process often requires multi-disciplinary reciprocal calculations. Even when a single-layer constraint (or objective) achieves c...

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Problems solved by technology

Aiming at the complex service environment faced by the digital prototype, the present invention fully considers the influence of multi-disciplinary coupling such as structural static / dynamics, aerodynamics, aeroelasticity, etc., and cuts the single-layer redundant calculation in the multi-disciplinary complex constraint (or target) coupling problem. Branches, an automatic and semi-automatic mechanism is introduced for the division of multi-variable sub-intervals. Through the single-layer distribution structure and pruning methods, the results of structural thermal mode, thermal gas elasticity, thermal intensity, etc. tend to be stabilized quickly. Considering the coordination of system design goals and discipline design goals and the coupling between disciplines, an automatic / semi-automatic sub-interval selection strategy is established, and a multi-constraint optimization solution strategy is constructed to achieve high-precision optimization solutions. On the premise of ensuring accuracy, greatly improved computational efficiency

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