Variant Design of Aircraft Structure Parts Based on Hybrid Reasoning

HAO Bo; WANG Wanjiong; ZHANG Peng; LIU Liwei

doi:10.16080/j.issn1671-833x.2022.21.028

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Variant Design of Aircraft Structure Parts Based on Hybrid Reasoning

更新时间：2025-10-30

- Variant Design of Aircraft Structure Parts Based on Hybrid Reasoning
- Aeronautical Manufacturing Technology Vol. 65, Issue 21, Pages: 28-35(2022)
- 作者机构：
  
  1. 东北大学,沈阳,110819
  2. 东北大学秦皇岛分校,秦皇岛,066004
- 作者简介：
- 基金信息：
- DOI：10.16080/j.issn1671-833x.2022.21.028
  CLC：
- Published：2022
- 稿件说明：
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郝博，汪万炯，张鹏，刘力维. 基于混合推理的飞机结构件变型设计[J]. 航空制造技术, 2022, 65(21): 28-35.

HAO Bo, WANG Wanjiong, ZHANG Peng, LIU Liwei. Variant Design of Aircraft Structure Parts Based on Hybrid Reasoning[J]. Aeronautical Manufacturing Technology, 2022, 65(21): 28-35.
郝博，汪万炯，张鹏，刘力维. 基于混合推理的飞机结构件变型设计[J]. 航空制造技术, 2022, 65(21): 28-35. DOI： 10.16080/j.issn1671-833x.2022.21.028.

HAO Bo, WANG Wanjiong, ZHANG Peng, LIU Liwei. Variant Design of Aircraft Structure Parts Based on Hybrid Reasoning[J]. Aeronautical Manufacturing Technology, 2022, 65(21): 28-35. DOI： 10.16080/j.issn1671-833x.2022.21.028.

摘要

基于规则推理（Rule-based reasoning，RBR）与实例推理（Case-based reasoning，CBR）相混合的推理方式，对飞机结构件智能设计方法进行了研究。首先，结合模糊理论和规则推理技术，对飞机结构件设计要求的模糊属性进行处理，设计了飞机结构件智能选型系统，实现对飞机结构件的类型选择；其次，运用最近相邻算法与灰色关联分析理论，对飞机结构件设计要求的数值属性进行处理，实现了飞机结构件的实例检索与评价，此后将得到的最佳相似实例进行变型设计，得到目标实例；最后，以型材为例验证了混合推理智能设计系统的可行性。

Abstract

Based on the hybrid reasoning method of rule-based reasoning (RBR) and case-based reasoning (CBR)

this paper studies the intelligent design method of aircraft structural parts. Firstly

combined with fuzzy theory and rulebased reasoning technology

processing fuzzy parameters for aircraft structure parts design

and the intelligent selection system of aircraft structural parts is designed to realize the type selection of aircraft structural parts. Secondly

the K-nearest eighbor (KNN) and grey relation analysis (GRA) are used to deal with the numeric parameters of aircraft structural parts design

and it implements cases retrieval and evaluation. Then the best similar cases are used for variant design to obtain the target case. Finally

the feasibility of the hybrid reasoning intelligent design system is verified by taking the section steel as an example.

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