| contributor author | Xin Liu | |
| contributor author | Shangzhi Chen | |
| date accessioned | 2023-04-07T00:32:13Z | |
| date available | 2023-04-07T00:32:13Z | |
| date issued | 2022/12/01 | |
| identifier other | %28ASCE%29HY.1943-7900.0002011.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4289232 | |
| description abstract | The numerical study in this paper aims at obtaining exact well-balance and improving the computational accuracy, efficiency, and the performance at wet–dry fronts, especially for the flows in ventilated sewer pipes. To this end, a novel numerical model for mixed flows in a circular-shaped sewer is proposed. The major contributions of this study are: (1) a MUSCL scheme (monotonic upstream-centered scheme for conservation laws) is designed so that second-order accuracy is achieved, which leads to accurate solutions even over coarse meshes; (2) a special reconstruction technique and novel source term discretization are proposed for pipe flows to guarantee the exact well-balance in the framework of a MUSCL scheme, thus numerical oscillations at stationary steady states are avoided; (3) the proposed new scheme produces reasonable solutions for kinetic flows in underresolved finite-volume grids with very low water volumes; and (4) it guarantees the positivity of the computed water volume without forcing a minimum wetted area value or reducing the global time step size. The performance and superiorities of the proposed new scheme for sewer flows are verified against previously reported well-balanced numerical models on a number of experiments. | |
| publisher | ASCE | |
| title | Improved Modeling of Flows in Sewer Pipes with a Novel, Well-Balanced MUSCL Scheme | |
| type | Journal Article | |
| journal volume | 148 | |
| journal issue | 12 | |
| journal title | Journal of Hydraulic Engineering | |
| identifier doi | 10.1061/(ASCE)HY.1943-7900.0002011 | |
| journal fristpage | 04022024 | |
| journal lastpage | 04022024_14 | |
| page | 14 | |
| tree | Journal of Hydraulic Engineering:;2022:;Volume ( 148 ):;issue: 012 | |
| contenttype | Fulltext | |