For dynamic traffic assignment problem in road network,we adopt a conserved higher-order (CHO) model for modeling and numerical study. The CHO model is combined with dynamic network loading (DNL) model,and the dynamic network loading model is analyzed through variational inequalities. In numerical simulation,the first-order finite volume method was used to solve the CHO model,and a gradient descent method was used to solve the variational inequality problem of the dynamic network loading model iteratively. Finally,a distribution equilibrium was achieved under the dynamic user optimal condition. The numerical results show that the combination of CHO model and DNL model is feasible for solving the dynamic traffic assignment problem.

γ-Re_θt crossflow extension model was applied to conduct numerical simulation of crossflow transition on NLF(2)-0415 infinite swept wing. Effects of Reynolds number, surface roughness, sweep angle on crossflow instability of 3-D boundary layer were studied mainly. It found that γ-Re_θt crossflow extension model predicts 3-D boundary layer transition correctly and calculation results agree well with experiment data. It shows that with increase of Reynolds number or surface roughness, location of crossflow transition onset moves forward. However, with increase of sweep angle, location of crossflow transition onset moves forward firstly and then moves back.

Modeling of generalized perfectly matched layer (GPML) absorbing boundary conditions in ground penetrating radar (GPR) simulation is discussed. Maxwell's equations are discretized by finite-difference time domain (FDTD) method,and Mur super absorbing boundary conditions and GPML absorbing boundary conditions are adopted to simulate GPR sections of a water-filled karst. GPR images of a multi-cylinder model and an inclined interface model are obtained by FDTD method with GPML absorbing boundary conditions. It shows that as an absorbing boundary condition GPML absorbs outgoing wave effectively. Its absorbing effect is better than that of Mur super absorbing boundary conditions. It can be applied to GPR simulations.