From this sentence i think you are doing the same shortcut as i do
I do'nt see how this could indicate a fault in reasonning.
So, the way the argument goes, there are two phases for a pipeline to stabilize.
First, "startup" phase, where fluid entered pipeline, but didn't reach the sink.
Second, "convergence" phase, where fluid reached the sink, but flow didn't stabilize yet.
If we compare two setups, then difference in total convergence time is sum of difference between two phases respectively.
Theoretically, the difference between "startup" phases is
n - 1. The difference between "convergence" phases is unknown, but from the argument it should be proportional to length of feedback cycle, i.e.
n. This is where my prediction comes from. I expected that the cost of "startup" is going to dominate (or at least constitute a significant chunk of) the total time.
However, when comparing it to empirical results we run into a problem. The time difference between "convergence" phases is near 0. This is weird for a number of reasons:
- Difference isn't just 0 it is perfectly 0
- This is true for all n
- This is true for all deltas, where we consider that pipeline converged when all flow values fall into [max_flow - delta; max_flow + delta]. I tested this for many deltas from 0.0001 to 0.1.
The above is a strong indication that the two cases produce not just
similar pipeline states, but
identical ones. However, I showed that this is not true! "Convergence" phases have different starting state.
While I still believe that the time of "startup" phase is likely the culprit, I don't think this specific argument works.
There are few ideas that I have that can help resolve this conflict.
- It could be that there are some hidden invariants in how fluid system evolution happens (at least for those specific states). It just so happens that convergence time is dependent on those invariants and therefore the same.
This is what I meant by deeper cause. To find them we will need more theory/math... I'm not sure I'm up to the task.
- It could be that there is a pivot point in pipeline evolution. Given different starts it takes different time to reach it, but after that pipelines states are identical or close to it.
I think this is most realistic explanation.
In a way current theory is an incarnation of second hypothesis, just slightly incomplete/incorrect.
We can actually do further digging. There are two characteristics that can be used: total (stationary) volume of fluid in pipeline and inflow. I'll do tests when I get time.