一种飞行器气动-结构耦合数据传递优化方法和系统
By constructing kd-trees and using adaptive parameter optimization methods, the problem of load distribution uniformity in aircraft structural design is solved, and the numerical robustness and engineering applicability of load transfer are improved. This method is applicable to the structural optimization of large aircraft and multidisciplinary design optimization.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ZHEJIANG UNIV
- Filing Date
- 2026-04-14
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies make it difficult to quantitatively evaluate and control the uniformity of load distribution in aircraft structural design. The MELD method lacks geometric adaptability, RBF sampling acceleration can easily lead to extreme load concentration, and parameter optimization is highly dependent on experience, making it difficult to meet the engineering requirements of complex working conditions and variable geometric configurations.
A kd-tree is constructed based on aircraft geometry data. The aerodynamic-structural gap scale and grid spacing scale are calculated through k-nearest neighbor queries to determine the adaptive neighborhood and kernel width. Statistical indicators such as Gini coefficient, p95/p50 and standard deviation are introduced to optimize the uniformity of load distribution and maintain the consistency of force conservation and virtual work in the traditional MELD method.
It significantly improves the spatial uniformity of the load field and the smoothness of the displacement field on the structural side, enhances the numerical robustness and engineering applicability of the load transfer process, reduces the cost of parameter tuning, and is suitable for structural optimization of large aircraft and multidisciplinary design optimization.
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Abstract
Citation Information
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