输入任务需求,自动设计3D飞机模型,实时反馈性能。
AlphaJet: Automated Conceptual Aircraft Synthesis via Disentangled Generative Priors and Topology-Preserving Evolutionary Search

- 用解耦的生成模型控制飞机结构参数,形状可解释。
- 遗传算法保留五种尾翼构型,避免设计过早收敛。
- 考虑发动机与机身的装配关系,避免生成无效结构。
概念飞机设计传统上依赖专家反复迭代:提出构型、运行低阶物理仿真、检查结果并重新设计。本文提出AlphaJet,一个端到端自动化合成流程,从文本任务描述(质量、航程、巡航速度、尺寸约束、发动机数量、面积密度)出发,实时演化出可行的3D飞机模型,并通过涵盖气动、结构、重量、稳定性、包装和几何安装一致性的透明多学科评估函数进行评分。三项关键贡献:(i) 解剖解耦变分自编码器(AD-VAE),其前25个隐变量经监督对齐命名解剖参数,提供可解释的形状先验;(ii) 拓扑保优遗传算法,保护每种五类尾翼构型中的最优个体并触发停滞重启,防止过早退化为单一构型;(iii) 安装感知几何评分,计算发动机与其它结构件间的有符号穿透量,消除生成模型中常见的冗余错误。整个流程在CPU上交互式运行,每代结果实时推送到浏览器查看器,适用于早期设计空间探索的实际自动化工具。
原文摘要 · Abstract (English)
Conceptual aircraft design is traditionally an expert-mediated iterative process in which a human designer proposes a configuration, runs low-order physics, inspects the result, and re-proposes. We present AlphaJet, an end-to-end automated synthesis pipeline that closes this loop. From a textual mission specification (mass, range, cruise speed, hard size envelope, engine count, areal density) AlphaJet evolves a feasible 3D aircraft in real time, scored by a transparent multi-disciplinary fitness function covering aerodynamics, structures, weights, stability, packaging, and geometric mount consistency. Three contributions distinguish our approach: (i) an Anatomically-Disentangled Variational Autoencoder (AD-VAE) whose first 25 latent dimensions are supervised to align with named anatomical parameters, providing an interpretable shape prior; (ii) a topology-elitist genetic algorithm that protects the best individual from each of five tail topologies and triggers stagnation restarts, preventing premature collapse to a single configuration; and (iii) mount-aware geometric scoring that computes signed penetration between engines and other structural parts, eliminating the redundant artifacts common in generative aircraft models. The full loop runs interactively on a CPU and streams every generation to a browser viewer, making it a practical real-world automation tool for early-phase design-space exploration.
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