摘要
材料的疲劳损伤受诸多因素的影响 ,是一个非稳态过程 ,其瞬态损伤与材料性能、载荷应力间表现为复杂的非线性映射关系 ,难以用确定性的数学函数准确表达。为此摒弃了能量均匀耗散及线性累积损伤理论假设 ,采用神经网络技术进行描述 ,准确反映了材料疲劳损伤真实演变过程 ;建立了疲劳失效动态准则 ,综合考虑了材料疲劳性能及载荷的随机性 ,能够正确反映两者的个体性能及相互关系 ,并运用离散事件仿真原理 ,构造了材料疲劳可靠性分析和智能化仿真系统 ,用以准确地进行随机载荷的疲劳寿命可靠性分析。经正火 35钢随机载荷疲劳试验验证 ,其可靠性分析精度较高。
The fatigue damage of material is impacted by many factors and regarded as an unstable process. The relationships between its momentary fatigue damage and material properties, loading stress behave so complicate and no linear that it is very difficult to depict the process precisely applying definitive mathematical functions. Theoretical hypothesis of uniform energy dissipation and linear cumulative damage are avoided, artificial neural network technology is adopted to describe it,the fatigue damage process of material can be depicted really. Dynamic failure criterion is set up, which is considered the random of material proper and loading comprehensively, it can be used to correctly reflect the individual characters and relationship between them. Discrete simulation theory is also adopt to build an intelligent simulation system for analyzing fatigue life reliability of material. The test result has proved that the analysis accuracy is very high for normalizing 35 steel under random loading.
出处
《机械工程学报》
EI
CAS
CSCD
北大核心
2001年第1期1-5,共5页
Journal of Mechanical Engineering
基金
国家自然科学基金资助项目! (5 960 5 0 0 4)。
关键词
疲劳损伤
神经网络
可靠性分析
智能仿真
Fatigue damage Artificial neural network Reliability analysis Intelligent simulation
