Dorado
April 4, 2026, 2:53pm
1
How to make the water ripples formed by the interference of two points not intersect and transition naturally at their contact positions!
Edr
(Eddard)
April 4, 2026, 4:34pm
2
First check these topics:
Would anyone know how to make something similar to this using grasshopper? I tried manually modelling but it just isn’t working out how I would like it. I’m new to GH and I found a similar thread on creating a ripple effect.
ripples_2017Aug23b (1).gh (27.9 KB)
[unnamed (2)]
Hello Forum,
I am trying to add additional points/ripples to this definition that was created a while back by @Joseph_Oster I am assuming that the points dictate the center of the drop.
Link to his version: Joseph Oster's Discussions - Grasshopper
My version is similar to his I only tried to copy the points meaning the MD sliders and MDp clusters, but why doesn’t this create additional ripples? I have posted the edited definition below in hopes that someone can help me out.
Thanks
Multiple …
Im sure I’ve e seen a GH def for a pattern like this but i cant find it anywhere on either forum now.
Similar to the wave interference patterns but it lioks more like a force field / height field than the water drop interference patterns.
Can anyone locate a link or suggest any info to help me create a definition.
https://pin.it/oowo5iphe7xuic
And many more…
Hello
like @Edr pointed this seems to be more related to a noise or more simply a scalar field.
If you want the points you can use this a tool that outputs some Scalar Field (weight at each point of space) using some points and weights at this point.
Not sure it is the best here but Inverse Distance Weighting (Nautilus plugin) gives some result.
Inverse distance weighting (IDW) is a type of deterministic method for multivariate interpolation with a known homogeneously scattered set of points. The assigned values to unknown points are calculated with a weighted average of the values available at the known points. This method can also be used to create spatial weights matrices in spatial autocorrelation analyses (e.g. Moran's I).
The name given to this type of method was motivated by the weighted average applied, since it resorts to the i...
I internalized the points but it seems better to use pipeline and use points from Rhino. I use 3 points.
test inverse distance weight.gh (11.5 KB)
It is just an approach many things can be changed.
Some more clear effect of weights with 4 points on corner. Power =1.5
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