Hypothesis derivation and its verification by a wholly automated many-objective evolutionary optimization system
Hypothesis derivation and its verification by a wholly automated many-objective evolutionary optimization system
复制标题
DOI：
10.1007/s00521-021-05786-1
复制
发表时间：
2021-03
影响因子：
6
通讯作者：
Kazuhisa Chiba;Masataka Sawahara;Tsuyoshi Sumimoto;Taiki Hatta;Masahiro Kanazaki
中科院分区：
文献类型：
--
作者：
Kazuhisa Chiba;Masataka Sawahara;Tsuyoshi Sumimoto;Taiki Hatta;Masahiro Kanazaki
本研究构建了一个独立于计算机环境的全自动化、多学科、多目标的目标函数进化优化系统，并将其应用于下一代航天运载火箭反激式助推器的几何设计问题。在涉及目标函数的高保真气动/结构动力性能优化评价中，空间离散化阻碍了整体的自动化。这项研究通过完全自动化高保真评估来促进高效的优化设计，而设计人员必须手动实施高保真评估，并完成了直接导致现实世界设计问题的优化。此外，这项研究还将为市场复苏的空间交通工具积累设计知识。全自动化系统嵌入几何特征线，即使是大曲率曲面也能保证离散化；在系统的前处理过程中，系统创新了一种健壮的自动错误检查机制。因此，完全自动化的优化获得了非支配解集，以便在实际执行期间进行更精确的数据分析。设计信息学是一个集优化和数据分析于一体的框架，通过实现平滑推导和验证设计假设，在反激式助推器几何结构的实际设计中发挥了有用的作用，最终获得了一种新的设计原则。
This study has constructed a fully automated multidisciplinary and many-objective evolutionary design optimization system independent of computer environments to evaluate objective functions; the research applied it to a geometric design problem of a flyback booster for next-generation space transportation. In optimization involving objective functions to appraise the aero-/structural-dynamic performance with high fidelity, spatial discretization hinders the overall automation. This research has facilitated an efficient optimal design by wholly automating high-fidelity assessments, which designers had to implement manually, and has accomplished optimizations that directly contribute to real-world design problems. Moreover, this study would accumulate design knowledge for space transportation that the market is reviving. The total automated system yielded the embedding of geometric trait lines to ensure the discretization even for large curvature surfaces; the system innovated a robust automatic error-checking mechanism in the system’s preprocess. Consequently, the entirely automatized optimization procured nondominated solution sets for more precise data analyses in a pragmatic execution period. Design informatics, a framework combining optimization and data analysis, functioned usefully in real-world design on flyback-booster geometry by materializing smooth deriving and verifying a design hypothesis; eventually, the research gained a new design principle.