Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Surge predictions in a large stormwater tunnel system using SWMM
Stormwater tunnels often have massive geometries, with conduit lengths of several kilometers and a wide range of diameter sizes. Modeling rapid filling of these systems is a complex task and needs adequate methodology. One model used in hydraulic analysis of stormwater tunnels is the EPA’s Storm Water Management Model (SWMM). However, model setup conditions related to a pressurization algorithm can significantly affect SWMM’s accuracy in surge prediction. This work evaluates SWMM 5.1 accuracy in simulating rapid filling of tunnels, particularly surging conditions. This evaluation is done using a real-world tunnel geometry, the Upper Des Plaines Tunnel, which is part of Chicago’s TARP tunnel system. Variables considered in the SWMM model setup include discretization strategy and pressurization algorithm, and its results are compared with HAST predictions, a model specifically designed to represent surges in tunnels. This work shows that, with adequate setup, SWMM can represent surging in stormwater tunnels much more precisely.
Surge predictions in a large stormwater tunnel system using SWMM
Stormwater tunnels often have massive geometries, with conduit lengths of several kilometers and a wide range of diameter sizes. Modeling rapid filling of these systems is a complex task and needs adequate methodology. One model used in hydraulic analysis of stormwater tunnels is the EPA’s Storm Water Management Model (SWMM). However, model setup conditions related to a pressurization algorithm can significantly affect SWMM’s accuracy in surge prediction. This work evaluates SWMM 5.1 accuracy in simulating rapid filling of tunnels, particularly surging conditions. This evaluation is done using a real-world tunnel geometry, the Upper Des Plaines Tunnel, which is part of Chicago’s TARP tunnel system. Variables considered in the SWMM model setup include discretization strategy and pressurization algorithm, and its results are compared with HAST predictions, a model specifically designed to represent surges in tunnels. This work shows that, with adequate setup, SWMM can represent surging in stormwater tunnels much more precisely.
Surge predictions in a large stormwater tunnel system using SWMM
Pachaly, Robson Leo (Autor:in) / Vasconcelos, Jose Goes (Autor:in) / Allasia, Daniel Gustavo (Autor:in)
Urban Water Journal ; 18 ; 577-584
14.09.2021
8 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
Stormwater Detention System Parameter Sensitivity and Uncertainty Analysis Using SWMM
| Online Contents | 2016
PC-SWMM Stormwater Modelling in the City Saskatoon
| British Library Conference Proceedings | 1995
Stormwater Detention System Parameter Sensitivity and Uncertainty Analysis Using SWMM
| Online Contents | 2016