TY - JOUR
T1 - H-adaptive mesh method with double tolerance adaptive strategy for hyperbolic conservation laws
AU - Li, Ruo
AU - Wu, Shuonan
N1 - Funding Information:
Acknowledgment This research is supported by ExxonMobil Upstream Research Company. We thank Dr. Tao Sun for his informative and instructive discussion with us. We would like to thank the anonymous referees sincerely for their suggestions and comments so constructive and detailed.
PY - 2013/9
Y1 - 2013/9
N2 - The numerical method used to solve hyperbolic conservation laws is often an explicit scheme. As a commonly used technique to improve the quality of numerical simulation, the h-adaptive mesh method is adopted to resolve sharp structures in the solution. Since the computational costs of altering the mesh and solving the PDEs are comparable, too often the mesh adaption triggered may bring down the overall efficiency of solving hyperbolic conservation laws using h-adaptive mesh method. In this paper, we propose a so-called double tolerance adaptive strategy to optimize the overall numerical efficiency by reducing the number of mesh adaptions, as well as preserving the quality of the numerical solution. Numerical results are presented to demonstrate the robustness and effectiveness of our h-adaptive algorithm using the double tolerance adaptive strategy.
AB - The numerical method used to solve hyperbolic conservation laws is often an explicit scheme. As a commonly used technique to improve the quality of numerical simulation, the h-adaptive mesh method is adopted to resolve sharp structures in the solution. Since the computational costs of altering the mesh and solving the PDEs are comparable, too often the mesh adaption triggered may bring down the overall efficiency of solving hyperbolic conservation laws using h-adaptive mesh method. In this paper, we propose a so-called double tolerance adaptive strategy to optimize the overall numerical efficiency by reducing the number of mesh adaptions, as well as preserving the quality of the numerical solution. Numerical results are presented to demonstrate the robustness and effectiveness of our h-adaptive algorithm using the double tolerance adaptive strategy.
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U2 - 10.1007/s10915-013-9692-1
DO - 10.1007/s10915-013-9692-1
M3 - Article
AN - SCOPUS:84881136084
SN - 0885-7474
VL - 56
SP - 616
EP - 636
JO - Journal of Scientific Computing
JF - Journal of Scientific Computing
IS - 3
ER -