复合材料层压板刚度退化反问题研究  

INVERSE PROBLEM STUDY OF COMPOSITES LAMINATE STIFFNESS DEGENERATE

作　　者：张博平[1] 

机构地区：[1]西北工业大学航空学院,西安710072

出　　处：《机械强度》2010年第3期415-418,共4页Journal of Mechanical Strength

摘　　要：基于自适应线性神经网络和经典层板理论,提出一种计算复合材料单层板刚度退化的反演方法。该方法在确定的层压板载荷和应变情况下,能快速得到单层板刚度退化后的模量值,依据试验数据的反演结果证明此方法是可行的。The stiffness of fiber reinforced composite laminates will degrade under static tension or tension/tension fatigue load.The properties of stiffness degradation are necessary to estimate static strength or fatigue life for composite laminates.A new inverse method of computation lamina stiffness degradation is presented for composites laminate based on linear neural networks and composites mechanics theory.Reduced stiffness properties of the damage lamina can be obtained according to the actual strain in the ...

关 键 词：复合材料 刚度退化 神经网络 反问题 

分 类 号：TB332[一般工业技术—材料科学与工程]