基于病毒特征短疲劳裂纹群体行为的统计相似性

Statistic similarity between virus feature and collective short fatigue cracks

短疲劳裂纹群体行为描述的BP网络 (Back propagationnetwork)法和金属疲劳复效的瞬态能量输入法是应用生命科学进行材料疲劳损伤描述的重要研究方法 .结合材料损伤和病毒学的相关研究成果 ,指出疲劳短裂纹和病毒在微观形态 ,生长环境 ,以及演化过程各阶段上具有相似性 ,提出基于病毒特征短疲劳裂纹群体行为统计相似性研究策略包括机理建模、裂纹遗传特征和材料免疫应答研究 .

s:Two important methods applied in life sciences to describe damage fatigue of materials are discussed,including BP(back-propagation)neural network describing collective short fatigue cracks and input of transient energy healing fatigue damage of metal. Short fatigue cracks are similar to virus in micro-shape,parasitic environment,and evolution stages. The research of the statistic similarity of collective short fatigue cracks based on virus feature covers mechanism modeling,genetic cracks and immune response of materials.