Based on the self-sensing characteristics of carbon fiber and the electrical sensitivities of structural damage

a testing method based on electrical impedance tomography（ EIT） is proposed to realize non-invasive

radiation-free

low-cost

non-destructive structural health monitoring. Considering the anisotropic electrical characteristics of CFRP laminates

the experimental model is constructed by using finite element analysis software COMSOL

and different excitation modes are analyzed and evaluated from various evaluation indexes to obtain the optimal excitation mode suitable for open annular electrode distribution

three incentives. In order to improve the imaging quality of EIT system

the imaging algorithm based on L1 regularization is studied. The experimental results show that compared with the commonly used algorithms such as Landweber and Tikhonov in EIT

the algorithm improves the imaging quality and the edge resolution of the measured object.