大型结构件应力分布特征及其影响力知识的自动获取

AUTOMATIC ACQUISITION OF STRESS DISTRIBUTION CHARACTERISTIC AND INFLUENCE KNOWLEDGE FOR LARGE-SCALE COMPONENT

为探究大型结构件应力分布影响因素的影响力差异,建立了应力分布特征及其影响力知识自动获取机制。针对截面尺寸连续变化的大型结构件,提出应力普查法进行结构件区域分割与最大应力提取,通过区域危险评估确定特征区域,获得应力分布特征集;分析结构参数对特征应力与轻量化指标的影响力,建立基于多状态调整策略的知识推理模型,获取各特征应力在不同调整期望的主影响因素及其影响显著度,以此反映满足对应期望应优先调整的结构参数与优先顺序。最后,以鹅颈式动臂为例进行验证,结果表明所提方法可实现大型结构件建模、分析、应力特征提取和影响力知识获取的自动化,能高效、柔性地为大型结构件智能优化提供有价值的知识。

To explore the difference of the factors influencing stress distribution for large-scale component,an automatic mechanism of acquiring stress distribution characteristics and influence knowledge was established. For the large-scale component with continuous changing geometry,a stress survey method was proposed to extract maximum stress of each sub-region for every sample. After evaluating the danger situation,some characteristic regions were determined and the characteristic stress sets were acquired. Furthermore,the influences of structural parameters for characteristic stresses and lightweight index were analyzed. By constructing knowledge reasoning model based on multi-states adjusting strategy,the main influence factors as well as their saliency under different expectations were acquired to reflect the priority of structural parameters for adjusting. Finally,the gooseneck-type boom was taken as an example,which demonstrates that the process of modeling,analysis,feature extraction and knowledge acquisition can be realized automatically and the useful knowledge can be acquired efficiently and flexibly for the intelligent optimization of large-scale component.