e matching with a dedicated component which creates combinations of items. You can find the [Cross Reference] component in the Sets.List panel.
When Grasshopper iterates over lists of items, it will match the first item in list A with the first item in list B. Then the second item in list A with the second item in list B and so on and so forth. Sometimes however you want all items in list A to combine with all items in list B, the [Cross Reference] component allows you to do this.
Here we have two input lists {A,B,C} and {X,Y,Z}. Normally Grasshopper would iterate over these lists and only consider the combinations {A,X}, {B,Y} and {C,Z}. There are however six more combinations that are not typically considered, to wit: {A,Y}, {A,Z}, {B,X}, {B,Z}, {C,X} and {C,Y}. As you can see the output of the [Cross Reference] component is such that all nine permutations are indeed present.
We can denote the behaviour of data cross referencing using a table. The rows represent the first list of items, the columns the second. If we create all possible permutations, the table will have a dot in every single cell, as every cell represents a unique combination of two source list indices:
Sometimes however you don't want all possible permutations. Sometimes you wish to exclude certain areas because they would result in meaningless or invalid computations. A common exclusion principle is to ignore all cells that are on the diagonal of the table. The image above shows a 'holistic' matching, whereas the 'diagonal' option (available from the [Cross Reference] component menu) has gaps for {0,0}, {1,1}, {2,2} and {3,3}:
If we apply this to our {A,B,C}, {X,Y,Z} example, we should expect to not see the combinations for {A,X}, {B,Y} and {C,Z}:
The rule that is applied to 'diagonal' matching is: "Skip all permutations where all items have the same list index". 'Coincident' matching is the same as 'diagonal' matching in the case of two input lists which is why I won't show an example of it here (since we are only dealing with 2-list examples), but the rule is subtly different: "Skip all permutations where any two items have the same list index".
The four remaining matching algorithms are all variations on the same theme. 'Lower triangle' matching applies the rule: "Skip all permutations where the index of an item is less than the index of the item in the next list", resulting in an empty triangle but with items on the diagonal.
'Lower triangle (strict)' matching goes one step further and also eliminates the items on the diagonal:
'Upper Triangle' and 'Upper Triangle (strict)' are mirror images of the previous two algorithms, resulting in empty triangles on the other side of the diagonal line:
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ake a modest notice about the two new Ladybug components, one of which creates a 3d terrain shading mask and another one which visualizes and exports horizon angles. A terrain shading mask is essentially a diagram which maps the silhouette of the surrounding terrain (hills, valleys, mountains, tree tops...) around the chosen location, and account for the shading losses from the terrain. It can be used as a context_ input in mountainous or higher latitude regions for any kind of sun related analysis: sunlight hours analysis, solar radiation analysis, view analysis, photovoltaics/solar water heating sunpath shading...
My home town is an example of the shading caused by the terrain. Here is how it looks from the tallest building in the town:
And the created terrain shading mask:
A mask for any land location up to 60 degrees North can be created:
There will also be a support for a few major cities above this limit.
Both Terrain shading mask and Horizon angles components can be downloaded from here. An example .gh file can be found in here.
Component will prompt the user to download and copy certain files in order to be able to run.
It was created with assistance from Dr. Bojan Savric. Support on various issues was further given by: Dr. Graham Dawson, Dr. Alec Bennett, Dr. Ulrich Deuschle, Andrew T. Young, LiMinlu, Jonathan de Ferranti, Michal Migurski, Christopher Crosby, Even Rouault, Tamas Szekeres, Izabela Spasic, Mostapha Sadeghipour Roudsari, Dragan Milenkovic, Chen Weiqing, Menno Deij-van Rijswijk and gis.stackexchange.com community.
I hope somebody might find the components useful.…
rs interface og dykker derefter ned i mere komplekse parametriske modeller. Vi vil desuden arbejde med forskellige funktioner, der hjælper med til at gøre modeller mere responsive og interaktive.
Efter kurset vil du have/kende til:
Basale inputs og parametre, punkter og vektorer, og små geometriske eksempler
En forståelse for Grasshoppers interface og teorien bag den visuelle programmering
Kendskab til og forståelse af de væsentligste komponenttyper i Grasshopper
Matematiske principper, der giver mulighed for sortering gennem sandt/falsk og mindre-end/større-end udsagn
Dataflow: midlertidige og permanente data
Forene og styre data-input, samt en dybere forståelse af Grasshoppers datastyring.
Styring af lange data-lister og data-træer i Grasshopper
Eksempler på parametrisk geometri, som feks. attractorpoints
Brugen af Grasshopper som et panel værktøj, der giver mulighed for at beklæde overflader med paneler baseret på underindelinger, gradienter og attractor points
forberedelse af egne definitioner, med fortsat fokus på projektets responsibilitet.
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on this, but to my understanding, the Δt_pr used is the same - the equations used to calculate are not. Take a look at this (from EN 7730 as well):
If I can make some wishes too; it would be cool, if you included the last local comfort metrics from EN7730 in LB/HB as well. Besides the local asymmetry there are: an equation for warm/cold floors, stratification and draught. I know, that you will need preform a CFD simulation to properly calculate stratification and draught, but the comfort equations are really simple and seeing that you have(might have) a CFD tool under way it could be useful. Anyways I think it would possible to import external generated CFD data to grasshopper.
The pictures in my previous post are from a paper called: "A simplified calculation method for checking the indoor thermal climate" by B.W. Olesen, it can be found in ASHRAE 1983, vol. 25, issue 5. I don't know if there have been any updates to it since '83.
Looking forward for the new components, and if there is anything I can help with please let me know.
/Christian
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an that HashCodes well ... since they are "unique" per item (even if this - for the one reason or the other - is created at the same location with that) I barely can see how one can use them in order to get rid if "equal" items (Lines in this occasion).
On the other hand ... well ... using HashSets sampling the Line center and testing length and direction ... well ... this works but why bother? > if you are not doing business with code (thus you need this "check" internally) > use the Kangaroo1 component.
That said the topic of "equality" is rather huge and most people are confusing a lot of things on that matter: for instance a point not equal to another ... well ... that's rather simple but a brep "not equal" with some else ... this is not that easy (if it's solvable).…
te some cut sheets, but not to optmize material, rather define some cut lines. Everything that I am cutting is made of planar wood elements, but there are very specific geometries (mostly straight lines) and I have to put tolerances and radiasas at the corners in order to cut on the cnc mill. Spending time to figure out how to automate is necessary, but I am stuck!
One thing the definition is doing is taking my brep modeled components in rhino and makking them into 2d close curves and laying them side by side. It works...not ideal as its not layed out in a sheet, but that is not the most important part.
Another particular problem is that you will see some notches in the curves, which other pieces will slip into, so different slots need different specific offsets (making them larger) as a toelrance to allow for material play. This I don't even know how to set up so maybe it will just have to wait.
THE MAIN QUESTION, and super important would be, LIFESAVER:
At all 'inward' corners...which I think will always mean concave corners (most are 90 degrees, but are within to sides, instead of a corner sticking out). I'm sure its obviousy, but the reason being the outward corners a circular dril bit can cut, but inward ones need an arc profile extended beyond where the corner of the other piece will fit into. The drill bit i am using is 6mm, so 6mm diamters arcs is what i'm working with.
I have managed to put such an arc at every vertices of each cut piece. The problem being some stick outward isntead of cutting into the piece. So each one needs to be orieneted correctly. Ideally they would also only draw into inward corners, but I can always delete them out. I think maybe I am missing a more logical mathematical way of defining?
For these geometries it is not very important which side the half circle arc in on in the inward corners, but I also have some geometries that I will have to control where the circles face according to the rest of the cut piece.
The cutouts in the middle of the pieces that are curves do not need such corners obviously.
The picture is an example drawn
I hope this isn't too specific and long. in general though automating fabrication, and controling pracitcal math and orientation problems like this is itnersting to me!
THANKS…
onsidered period.
Even if the end of July for the mediterranean climate is not the best period to perform an adaptive comfort analysis (it's just a pretest to define a LB model) I want to refine the Adaptive comfort Chart (AC) by changing the external air temperature data imported from the .epw file with that of monitored data as reported here below:
Where the monitored ext air temperature are in this form (green panel below):
I have used the comfortPar component to set the following parameters:
Adaptive chart as defined by EN 15251
90% of occupants comfortable
the prevailing outdoor temperature from a weighted running mean of the last week
fully conditioned space (even if it is not properly in line with AC as already discussed)
The question is this: the AC component could correctly apply the code below if there is only a list of external temperature data for a restricted period (without indication about the limits of this period) and not for an entire year?
else: #Calculate a running mean temperature. alpha = 0.8 divisor = 1 + alpha + math.pow(alpha,2) + math.pow(alpha,3) + math.pow(alpha,4) + math.pow(alpha,5) dividend = (sum(_prevailingOutdoorTemp[-24:-1] + [_prevailingOutdoorTemp[-1]])/24) + (alpha*(sum(_prevailingOutdoorTemp[-48:-24])/24)) + (math.pow(alpha,2)*(sum(_prevailingOutdoorTemp[-72:-48])/24)) + (math.pow(alpha,3)*(sum(_prevailingOutdoorTemp[-96:-72])/24)) + (math.pow(alpha,4)*(sum(_prevailingOutdoorTemp[-120:-96])/24)) + (math.pow(alpha,5)*(sum(_prevailingOutdoorTemp[-144:-120])/24)) startingTemp = dividend/divisor if startingTemp < 10: coldTimes.append(0) outdoorTemp = _prevailingOutdoorTemp[7:] startingMean = sum(outdoorTemp[:24])/24 dailyRunMeans = [startingTemp] dailyMeans = [startingMean] prevailTemp.extend(duplicateData([startingTemp], 24)) startHour = 24
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