The shear moduli of single-walled carbon nanotubes(SWCNT) are investigated by using energy theory.
利用能量方法研究了单壁碳纳米管（SWCNT）的剪切模量。
An expansion theory of cylindrical cavities in strain-softening materials with different moduli in tension and compression is presented.
建立了拉压模量不同及应变软化特性材料的柱形孔扩张理论。
Based on layered elastic theory, the layered elastic moduli of asphalt pavement were predicted using BP neural network.
基于层状弹性理论，利用BP神经网络预测沥青路面结构层弹性模量。
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