Skin stringer structure rapid dynamic optimization design method based on dynamic load static equivalence

A design method and dynamic optimization technology, applied in constraint-based CAD, multi-objective optimization, design optimization/simulation, etc., can solve problems such as difficult dynamic constraints, difficult solutions, difficult dynamic optimization sensitivity analysis, etc., and achieve strong engineering practicability , the effect of simple operation

Active Publication Date: 2020-10-02
DALIAN UNIV OF TECH +1
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AI Technical Summary

Benefits of technology

This patented technology allows us to create an improved method that uses both classical algorithms (static) with genetic techniques or molecular biology tools like X-ray crystallography). It also includes optimizing certain aspects such as placement and dimensions based on these factors. Overall this innovation improves the performance and efficiency of structures made from composite materials.

Problems solved by technology

This technical problem addressed in this patents relates to optimum mechanical properties and reduced overall weights without compromising safety factors like impact resistance during flight operations. Previous methods were limited because they only focused upon static loading behavior alone but did not fully address these issues. Therefore, there was developed a novel solution called Transformative Load Dynamics Plasma Anisotropic Acoustic Emission ("TLDAP") that uses advanced mathematical techniques to determine physical characteristics and limit damage caused by high acceleration forces while also reducing weight compared to traditional designs.

Method used

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  • Skin stringer structure rapid dynamic optimization design method based on dynamic load static equivalence
  • Skin stringer structure rapid dynamic optimization design method based on dynamic load static equivalence
  • Skin stringer structure rapid dynamic optimization design method based on dynamic load static equivalence

Examples

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Embodiment 1

[0034] like figure 1 As shown, this example is a fast dynamic optimization design method for skin stringer structures based on the static equivalent of dynamic loads, including the following steps:

[0035] S1, the overall structural diagram of the skin stringer structure selected in this example and the cross-section type of the stringer are as follows figure 2 and image 3 As shown; 7A09 aluminum alloy is used as the vertical stringer and end frame material, 2A12 aluminum alloy is used as the skin material, and the material properties are shown in Table 1; the height of the tube section is H=1500mm, the diameter D=3000mm, and the upper and lower end frames are selected L-shaped stringers, the cross-sectional width, height and thickness are 75mm, 60mm, and 5mm respectively, and the number of middle frames is 2; in addition to the fixed parameters, a total of 7 design variables are set, including continuous variables and discrete variables, model design variables The meanin...

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Abstract

The invention provides a skin stringer structure rapid dynamic optimization design method based on dynamic load static equivalence. According to the method, a static equivalent technology is used forconverting a dynamic optimization problem which is time-consuming in solving, poor in convergence and complex in calculation into a static optimization problem which is mature in technology. Accordingto the method, a dynamic load static equivalent model is developed by considering key position displacement and stress constraints and a dynamic and static load response minimization target. Meanwhile, parametric modeling is carried out on the skin stringer structure, and time consumed by repeated modeling is avoided. Based on dynamic load static equivalence, the design of skin stringer structuresize optimization (including the number of circumferential and vertical stringers and the like) and layout optimization (including stringer section parameters and the like) under the dynamic responseeffect is realized by combining a genetic algorithm. According to the method, a whole set of optimization design process is established, parameters can be suitable for other models after being modified, operation is easy, and engineering practicability is high.

Description

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Claims

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Application Information

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Owner DALIAN UNIV OF TECH
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