ABSTRACT

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.

摘要

雨水隧道通常具有巨大的几何形状，管道长度为数公里，直径大小范围广泛。对这些系统的快速填充建模是一项复杂的任务，需要适当的方法。用于雨水隧道水力分析的一种模型是 EPA 的雨水管理模型 (SWMM)。然而，与增压算法相关的模型设置条件会显着影响 SWMMH 在喘振预测中的准确性。这项工作评估了 SWMMH 5.1 在模拟隧道快速填充，特别是涌动条件时的准确性。此评估是使用真实世界的隧道几何形状完成的，即上德斯普兰斯隧道，它是芝加哥 TARP 隧道系统的一部分。SWMMH 模型设置中考虑的变量包括离散化策略和加压算法，并将其结果与 HAST 预测进行比较，HAST 预测是一种专门用于表示隧道中涌浪的模型。这项工作表明，通过适当的设置，SWMM 可以更精确地表示雨水隧道中的涌动。