Arteriovenous fistula (AVF) is a commonly used vascular access to maintain hemodialysis patients. As an essential physiological feature of AVF, thrill signal can be measured to monitor the occurrence of stenosis. In this paper, the method of computational fluid dynamics (CFD) simulation is used to study the thrill signal and its distribution on the skin surface, and an AVF model with skin tissue is constructed. The displacement field of the skin surface is obtained through simulation. Adopting Burg algorithm to analyze the displacement results and compare them with the power spectral density of pulse wave, the reliability of the simulation results is verified. In order to find the most suitable measurement area, nine different positions are selected as the measurement points on the interface representing the skin surface in the model. The displacement distribution of thrill signal on the surface of the skin is obtained by simulating the displacement of each measuring point, and The experimental results show that the amplitude of the anastomosis and the arterial segment near the anastomosis is larger, which is the preferred location for signal measurement.