The toughening for the steady-state growing crack is associated with the modulus of elasticity, the width of transformation and its volume fraction ratio of K ⅱ/ K ⅰ. 对定常扩展裂纹的增韧结果除与材料弹性模量、相变尾区高度和相变体积分数有关外,还随KⅡ/KⅠ的比值增大而减小。
Finally, the obtained training parameters and structures of the network are used to predict the mechanical properties ( elongation and modulus of elasticity) of carbon nanotubes by inputting parameters ( volume fraction, length, cross-sectional area and tensile strength). 最后应用所得到的网络训练参数与结构,通过输入参数(体积分数、长度、截面积和拉伸强度)实现了对碳纳米管力学性能(延伸率和弹性模量)的初步预测。