Data of ultimateshearstress of hyper concentration flow are trained several times by Back Propagation (BP) neural network method.
应用误差逆传播（BP）神经网络方法，对高含沙流体极限剪应力进行了多次训练。
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The deformation not only reflects the flexure behavior of slab at every loading stage, but also affects the stress status on the surface of punching shear cone and the ultimate capacity of the slab.
It is advised that the anchorage length of CFS, peeling stress, the strain of CFS under the ultimate load and the shear capacity should also be verified to insure enough ductility of the member.