Simulation of Deformation Transfer Coefficient of Pipe Bend Buried Based on Shaking Table Test and Goodman Contact Element

Due to the large difference of stiffness between pipe and soil, the movement of the two can not be coordinated under seismic. Therefore, the deformation transfer between pipe and soil is a very important research content in the study of pipe failure. At present, scholars have done less research on the pipe-soil deformation transfer of elbow. In this paper, the fitting formula of deformation transfer coefficient of buried elbow under seismic action was obtained by scale shaking table test of pipe bend and 3D finite element model based on Goodman contact element. Then, the test results are compared with the calculation results of the fitting formula and the simulation results of the finite element method to verify the rationality of the fitting formula and analyze the change law of the deformation transfer coefficient at the elbow of the pipe, including the influence of different pipe diameters, buried depth, wall thickness, soil properties, and elbow angles. It is confirmed that these factors have a great influence on the deformation transfer between the pipe and soil, which indicates that the fitting formula of the deformation transfer coefficient at the elbow is of huge significance to the earthquake resisting design of pipe.

Fully Automatic Facial Deformation Transfer

Facial Animation is a serious and ongoing challenge for the Computer Graphic industry. Because diverse and complex emotions need to be expressed by different facial deformation and animation, copying facial deformations from existing character to another is widely needed in both industry and academia, to reduce time-consuming and repetitive manual work of modeling to create the 3D shape sequences for every new character. But transfer of realistic facial animations between two 3D models is limited and inconvenient for general use. Modern deformation transfer methods require correspondences mapping, in most cases, which are tedious to get. In this paper, we present a fast and automatic approach to transfer the deformations of the facial mesh models by obtaining the 3D point-wise correspondences in the automatic manner. The key idea is that we could estimate the correspondences with different facial meshes using the robust facial landmark detection method by projecting the 3D model to the 2D image. Experiments show that without any manual labelling efforts, our method detects reliable correspondences faster and simpler compared with the state-of-the-art automatic deformation transfer method on the facial models.