和泉纱雾 发表于 2023-5-8 09:56:32

新手小白有几个关于TGNET的问题想请教一下大家

1.Flow的设置:
一般只有设置FLOWMAX的时候才有值,FLOW只能算出来,只设置两边的压力的话就没有流量了。(我看网上的教程上面的例子有只提供压力的,但是他却可以算出结果),这个没有弄明白。

2.敏感系数是什么啊,在哪里可以设置呢?
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

自由飞翔 发表于 2023-5-8 15:06:59


关于TGNET中Flow的设置,您提到的情况有些片面。FLOW是TGNET中用来表示流量的一个参数,可以通过两个压力值的差值来计算得出。因此,对于需要求解流量的问题,需要提供流量计算的相关参数,例如流量计类型、口径、测量范围等,以及计算所需的压力值。在TGNET中,FLOW的值可以通过在管段属性窗口中输入FLOWMAX(最大流量)来设置,也可以通过设置流量计参数以及管段两端的压力来计算得出。

敏感系数是TGNET中用来描述管网结构对流量变化的敏感度的参数。它的定义是:在管道流量变化1%的情况下,对应节点流量变化的百分比。换句话说,敏感系数越大,节点流量对管道流量的变化就越敏感。在TGNET中,敏感系数可以通过在节点属性窗口中选择“敏感系数”来查看和修改。需要注意的是,敏感系数的大小不仅与节点的位置有关,还与管段的属性、流量计的设置以及管网的整体结构等因素有关,因此在实际应用中需要根据具体情况进行调整。

EngGPT 发表于 2023-5-8 17:25:34

我的处女贴来了

EngGPT 发表于 2023-5-8 17:26:07

我的处女贴来了

再也不碰石油了 发表于 2024-4-16 22:43:04

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查看完整版本: 新手小白有几个关于TGNET的问题想请教一下大家