stributes structural supports for a uniformly loaded domain using e.g. the internal energy of the loaded domain as fitness. Here the uniformly loaded domain is represented by the trimmed surface. My genomes are the support positions (green crosses), which are restricted to a set of predefined grid points. I’m currently using an (i,j)-coordinate indexing for these grid points (illustrated in the viewport just below) as opposed to a sequential , “one-dimensional” numbering (illustrated in the viewport further down).
(i,j)-indexing systemAltenative, sequential indexing system
The support positions are computed by two gene pools; one governing the i-index, Gene List {i}, and one governing the j-index, Gene List {j}, of each support. The value of slider 0 in Gene List {i} is paired with the value of slider 0 in Gene List {j} etc. and the amount of sliders corresponds to the amount of supports. The screen shot below depicts the slider constellation corresponding to the support distribution depicted above. Unfortunately the j-index represented in the sliders needs remapping as the number of j-indices vary for each i-index (horizontal row of grid points). With the current setup I have 12^6 x 9^6 = 1,6 x 10^12 different genomes. If I were to use the sequential, “one-dimensional” numbering, I would only use one gene pool with sliders ranging from 0 to 76 meaning that remapping could be avoided and thereby having only 76^6 = 1,9 x 10^11 different genomes.
So, my current genome setup causes a bunch of issues related to the Evolutionary Solver: Remapping Changing one of the j-index sliders, will not necessarily change the related support position but it will still facilitate another genome to be calculated by the solver. (This problem could be eliminated by using the sequential, “one-dimensional” numbering)
Switching slider values around If the values of e.g. slider 0 were to be switched around with the values of slider 5, this again would yield a new genome but an identical solution. (This problem cannot be eliminated by using the sequential, “one-dimensional” numbering)
Coincident support positions Two or more supports may be located in the same position. (This problem cannot be eliminated by using the sequential, “one-dimensional” numbering)
I find it impossible to imagine the fictive “fitness landscape” of this problem and not only because of the multidimensional genome characteristic but just as much because of these listed, intertwined peculiarities. I’ve tried running the Simulated Annealing Solver as well, but my experience is that the Evolutionary Solver yields better results. To my awareness, the solver uses some kind of topographical proximity searcher. This is why, I think that the solving process itself benefits more from analysing the (i,j)-index system, in which neighbouring grid points hold more uniform topographical information than the sequential, “one-dimensional” numbering, which might have big ID-numbering gaps between neighbours. Have I understood this correctly?
Cheers…
a nodi, permette di sfruttara le potenza della programmazione, senza necessariamente avere competenze avanzate.
Con Grasshopper potrete avere accesso ai segreti della modellazione generativa, un nuovo linguaggio progettuale che sta cambiando il mondo del design, a partire dalla gioielleria, fino ad arrivare all'architettura.
Durante il corso sarà possibile comprendere le caratteristiche di funzionamento del programma e applicarlo alla creazione di oggetti complessi che potranno essere stampati in 3D, oppure renderizzati. La durata è di 30 ore e alla fine del percorso verrà rilasciato il certificato McNeel.
Il Programma
Il corso spiega i concetti base di modellazione parametrica e generativa. Nello specifico:
Interfaccia e comandi
Parametri e componenti
Interopazione con Rhinoceros
Strumenti di parametrizzazione
Combinazione dati
Data tree
Creazioni di superfici attraverso algoritmi di paneling
Teoria degli attrattori
Gestione strumenti mesh
Creazione di Cluster
Durante il corso saranno proposte esercitazioni pratiche sul campo di utilizzo preferito dallo studente
Il docente
Antonino Marsala, è un formatore certificato McNeel con alle spalle oltre 11 anni di esperienza nel settore della modellazione 3D. Oltre ad occuparsi di formazione, collabora con aziende orafe e di architettura per la messa in pratica dei principi di modellazione generativa, applicandoli a casi reali.
FAQ
Quanto costa il corso?
Il prezzo del corso è di 500,00 € + IVA che potranno essere saldati in una soluzione unica. Nel caso di iscrizione di gruppo, potrà essere applicato uno sconto.
Cosa posso portare e cosa non devo portare all'evento?
Gli organizzatori forniranno computer con il software già installato. Nel caso vogliate portare il vostro computer, vi forniremo una versione trial da 90giorni di Rihnoceros e Grasshopper
Dove posso contattare l'organizzatore per qualsiasi domanda?
antonio@mandarinoblu.com
334 24 20 203
La mia registrazione o il mio biglietto è trasferibile?
Si, purchè venga comunicato il cambiamento entro 48 ore dalla partena del corso
…
he plug-in supports intuitive design of paneling concepts as well as rationalize complex geometry into a format suitable for analysis and fabrication. The plug-in is closely integrated with Rhino 7 and is widely used for architectural and other building designers.
Download
The new PanelingTools for the new Rhino 7.2 is now available. You can access Rhino 7 evaluation and upgrades from here…
Documentation
For documentation and examples, please check:
PanelingTools Manual for detailed description of commands and options.
PanelingTools for Grasshopper Manual includes tutorials and description of PT-GH components.
Paneling Scripting page has a listing of paneling methods for RhinoScript.
Paneling Tutorials page has links to video tutorials.
Paneling Short Clips page has short video tutorials that covers the core functionality of PanelingTools.
Paneling Gallery page has users projects with PanelingTools.
Videos
**NEW** PanelingTools Webinar Course - December 2014 learn how Paneling tools works and how best to integrate it into your design process.
Paneling Tools Webinar - February 11, 2011
Paneling Tools Webinar on Vimeo
Feedback
Please tell us what you think and how you are using PanelingTools to help shape future development.
Join the PanelingTools Group in Rhino Forum and post photos, news and discussions. Make sure to tag with keyword “PanelingTools”.
For questions and feedback, contact the developer.
Source: McNeel Wiki
Keshia C. Stich
Grid Paneling Group
…
giornata inaugurale sarà dedicata alla free-lecture introduttiva finalizzata alla realizzazione di un modello d'architettura complesso attraverso l'utilizzo di comandi e tecniche avanzate di rappresentazione con Grasshopper (plug-in parametrica di Rhinoceros) e 3dsMax. Sarà illustrato inoltre il potenziale di V-ray per 3dsMax realizzando un rendering concettuale. Durante il mini-corso dell' openDAY verranno mostrate le caratteristiche e le potenzialità degli strumenti per far luce sui nuovi valori assunti dalla modellazione 3D. La modellazione 3D sta interessando un pubblico sempre più vasto inserendosi in una nuova fase di ampia disponibilità per conoscenze, software, hardware di prototipazione e modelli. Pur mantenendo tutti i suoi valori già noti la questione si è talmente ampliata fino ad interessare norme giuridiche (diritti sui modelli ,concorrenza con offerte di servizi apparentemente simili, informazioni deformate e onfusione nei media) Makers University[http://www.makersuniversity.com], in collaborazione con parametricart, vi propone un punto di vista ampio e sintetico su queste tematiche.
Al termine della free-lecture, sarà illustrata l'offerta formativa [CLICCA QUI] di parametricart riferita ai corsi che si terranno nei mesi di Gennaio e Febbraio 2013 inseriti all'interno della più ampia programmazione della Makers University. SONO PREVISTE TARIFFE PROMOZIONALI PER COLORO CHE SI ISCRIVERANNO AI CORSI durante l'OpenDAY.
La lezione e la presentazione si terranno nel nuovo spazio co-working il PEDONE.
PROGRAMMAZIONE
- I temi della Makers University [Leo Sorge];
- Modellazione della parametricTower (concept di architettura complessa) utilizzando Grasshopper, applicativo per la modellazione parametrica [VIDEO] [Michele Calvano];
- Modellazione di una copertura reticolare 3D a completamento della parametricTower con 3dsMax utilizzando tecniche di modellazione mesh complesse [Wissam Wahbeh];
- Rendering con V-ray per 3dsMax illustrando la nuova interfaccia nodale [Wissam Wahbeh].
- Question Time per chiarimenti sugli argomenti illustrati.
COME
L'openDAY sarà aperto a tutti gli interessati,completamente gratuito e sarà replicato in tre sessioni di uguali contenuti organizzate nei seguenti orari:
Sessione [1] 11,30 - 13,30
Sessione [2] 15,30 - 17,30
Sessione [3] 17,30 - 19,30
Per necessità di organizzazione è importante la prenotazione all'evento utilizzando il form in fondo alla pagina specificando nella stringa apposita, il nome dell'evento e la sessione (es. open day sessione 1) oltre agli altri dati richiesti.…
ly fabricated interventions and interactive electronic performance art installations in Barra Funda. Along with other experts, these tutors will teach how to use and apply new design technologies, notably Rhino and Grasshopper (and numerous plug-ins including GECO, Galapagos, Kangaroo and RhinoCam); Arduino and Processing; and the use of laser-cutters, rapid- prototype machines and CNC routers and mills.
Alan Dempsey of NEX, was in 2010, selected by the Centre for European Architecture/Chicago Athenaeum as one of the 40 most significant architects in the EU under 40. In 2008 he was selected by the British Council as one of the six most significant Design Entrepreneurs. He previously worked with Future Systems, OCEAN and Homa Farjadi. Alan was an AA Unit Tutor and is Director of the AA Independent’s Group (www.independentsgroup.net), which facilitates research into the use of computational design and fabrication. Alan has lectured, exhibited and been published worldwide. His work has received a number of awards, including a LEAF award for Spencer Dock Bridge, and a D&AD pencil for the [C]space DRL 10 Pavilion.
Robert Stuart Smith of Kokkugiais a Studio Course Master at the AA DRL. Robert previously worked for Lab Architecture Studio and Nicholas Grimshaw & Partners. He focuses on self-organisational systems and developmental growth, pursuing polyvalent and environmentally responsive affect. He leads consultation to Cecil Balmond on non-linear algorithmic design research. Kokkugia has projects in the USA, UK and Mexico, and is exhibited and published internationally.
Iván Ivanoff is an artist, programmer, and researcher. He searches for new forms of communication for the society of the future and is the director of different Media Labs worldwide. He founded the artistic collaborative i2off.org+r3nder.net, which develops multi-media and interactive projects, and Estado Lateral Media Lab to investigate and develop new technologies.
The Barra Funda district of São Paulo was once characterised by a mix of small industrial, commercial and residential programmes, but, as economic policies have favoured larger production industries, numerous companies have abandoned the area. In response, the workshop proposes the creation of new types of smaller industries to produce a mix of both consumption and production, manifested through micro-manufacturing interventions that can co-exist alongside retail and housing. Computational design and digital fabrication could be used to help create these new micro-industries, which in turn will help empower local craftsman to produce and sell directly to consumers through micro-manufacturing, located in small urban workshops.
The workshop will tap into emergent gallery scene of Barra Funda and local initiatives that use computational technology to introduce a new cultural and economic impetus. The workshop is a part of the International Festival of Electronic Language (FILE), an exhibition of interactive electronic technology, and will import these electronic technologies out of the galler, collaborating with local manufacturers, artists, and activists, with a goal of disseminating a high-tech yet low-cost and small-scale fabrication systems to promote this new micro-industrial movement. The workshop is open to architecture and design students and professionals worldwide.…
of a hack to push it to an android device, and you can't use labels, which is a very bad point!
...
I won't buy an Iphone!
The other is Control OSC. It looks rougher, but it has a lot of advantages to me.
+ Game of Life included!
+ you can use and update labels :))
+ Has a nice muti touch widget unfeatured in touch osc
+ You can script the interface using java script manipulation in gh, stream it to your dropbox and update in one "tap", as follows
Does anyone have experience with scripting interfaces for this software? I'm stuck already. I know nothing of java script to begin with. As you can see I managed to format the labels but the osc message I could not find a way, it stays untouched.
Just in case someone knows better, here are my "objects" (I said that right?). The userXXX are replaced in GH.
{ "name":"userName", "type":"Slider", "x":(xPadding + .11), "y": yPadding, "width":.82, "height":.082, "color":"userColor", "min":userMin, "max":userMax, "ontouchmove" : "var roundedvalue = this.value.toFixed(userFix); LbluserName2.changeValue(roundedvalue)", "onvaluechange": "oscManager.sendOSC('/userName', 'f', this.value.toFixed(userFix))",},{ "name":"LbluserName1", "type":"Label", "x":xPadding, "y": yPadding, "width":.1, "height":.05, "color":"userColor", "value": "userName"},{ "name":"LbluserName2", "type":"Label", "x":xPadding, "y": (yPadding + 0.05), "width":.1, "height":.05, "address":"/userName", "color":"userColor", "value": 0},…
is set up to manipulate strings into an STL file that is quite different from how Grasshopper defines meshes, in that an STL seems to define each face by XYZ points, Grasshopper wants a single list of all vertex points and then has an allied lists of topological connectivity according to vertex number, so for now I just hacked it to spit out points minus so many duplicates it generates for STL:
Right now it has an internal 3D trigonometric function I added input sliders to control, that creates surfaces that look a lot like molecular orbitals.
So how do I make a mesh? I failed to make a single mesh face from each STL face since AddMesh seems to want a list, so I tried making a single list and matching it with a simple ((1,2,3),(4,5,6),(7,8,9)...) array of connectivity but it hasn't worked yet since the STL list of vertices has duplicates that won't work for Grasshopper and removing the duplicates scrambles the connectivity relation.
After some work on this and seeing the output, I figure I could just randomly populate the mathematical function with points instead, unless it really gives a better mesh result than other routines. I'm not sure what to do with it yet, even if I get the mesh figured out.
import rhinoscriptsyntaximport RhinoPOINTS_CONTAINER =[]POINTS = []class Vector: # struct XYZ def __init__(self,x,y,z): self.x=x self.y=y self.z=z def __str__(self): return str(self.x)+" "+str(self.y)+" "+str(self.z) class Gridcell: # struct GRIDCELL def __init__(self,p,n,val): self.p = p # p=[8] self.n = n # n=[8] self.val = val # val=[8] class Triangle: # struct TRIANGLE def __init__(self,p1,p2,p3): self.p = [p1, p2, p3] # vertices # HACK TO GRAB VERTICES FOR PYTHON OUTPUT POINTS_CONTAINER.append( (p1.x,p1.y,p1.z) ) POINTS_CONTAINER.append( (p2.x,p2.y,p2.z) ) POINTS_CONTAINER.append( (p3.x,p3.y,p3.z) )# return a 3d list of values def readdata(f=lambda x,y,z:x*x+y*y+z*z,size=5.0,steps=11): m=int(steps/2) ki = [] for i in range(steps): kj = [] for j in range(steps): kd=[] for k in range(steps): kd.append(f(size*(i-m)/m,size*(j-m)/m,size*(k-m)/m)) kj.append(kd) ki.append(kj) return ki from math import sin,cos,exp,atan2 def lobes(x,y,z): try: theta = atan2(x,y) # sin t = o except: theta = 0 try: phi = atan2(z,y) except: phi = 0 r = x*x+y*y+z*z ct=cos(PARAMETER_A * theta) cp=cos(PARAMETER_B * phi) return ct*ct*cp*cp*exp(-r/10) def main(): data = readdata(lobes,10,40) isolevel = 0.1 #print(data) triangles=[] for i in range(len(data)-1): for j in range(len(data[i])-1): for k in range(len(data[i][j])-1): p=[None]*8 val=[None]*8 #print(i,j,k) p[0]=Vector(i,j,k) val[0] = data[i][j][k] p[1]=Vector(i+1,j,k) val[1] = data[i+1][j][k] p[2]=Vector(i+1,j+1,k) val[2] = data[i+1][j+1][k] p[3]=Vector(i,j+1,k) val[3] = data[i][j+1][k] p[4]=Vector(i,j,k+1) val[4] = data[i][j][k+1] p[5]=Vector(i+1,j,k+1) val[5] = data[i+1][j][k+1] p[6]=Vector(i+1,j+1,k+1) val[6] = data[i+1][j+1][k+1] p[7]=Vector(i,j+1,k+1) val[7] = data[i][j+1][k+1] grid=Gridcell(p,[],val) triangles.extend(PolygoniseTri(grid,isolevel,0,2,3,7)) triangles.extend(PolygoniseTri(grid,isolevel,0,2,6,7)) triangles.extend(PolygoniseTri(grid,isolevel,0,4,6,7)) triangles.extend(PolygoniseTri(grid,isolevel,0,6,1,2)) triangles.extend(PolygoniseTri(grid,isolevel,0,6,1,4)) triangles.extend(PolygoniseTri(grid,isolevel,5,6,1,4)) def t000F(g, iso, v0, v1, v2, v3): return [] def t0E01(g, iso, v0, v1, v2, v3): return [Triangle( VertexInterp(iso,g.p[v0],g.p[v1],g.val[v0],g.val[v1]), VertexInterp(iso,g.p[v0],g.p[v2],g.val[v0],g.val[v2]), VertexInterp(iso,g.p[v0],g.p[v3],g.val[v0],g.val[v3])) ] def t0D02(g, iso, v0, v1, v2, v3): return [Triangle( VertexInterp(iso,g.p[v1],g.p[v0],g.val[v1],g.val[v0]), VertexInterp(iso,g.p[v1],g.p[v3],g.val[v1],g.val[v3]), VertexInterp(iso,g.p[v1],g.p[v2],g.val[v1],g.val[v2])) ] def t0C03(g, iso, v0, v1, v2, v3): tri=Triangle( VertexInterp(iso,g.p[v0],g.p[v3],g.val[v0],g.val[v3]), VertexInterp(iso,g.p[v0],g.p[v2],g.val[v0],g.val[v2]), VertexInterp(iso,g.p[v1],g.p[v3],g.val[v1],g.val[v3])) return [tri,Triangle( tri.p[2], VertexInterp(iso,g.p[v1],g.p[v2],g.val[v1],g.val[v2]), tri.p[1]) ] def t0B04(g, iso, v0, v1, v2, v3): return [Triangle( VertexInterp(iso,g.p[v2],g.p[v0],g.val[v2],g.val[v0]), VertexInterp(iso,g.p[v2],g.p[v1],g.val[v2],g.val[v1]), VertexInterp(iso,g.p[v2],g.p[v3],g.val[v2],g.val[v3])) ] def t0A05(g, iso, v0, v1, v2, v3): tri = Triangle( VertexInterp(iso,g.p[v0],g.p[v1],g.val[v0],g.val[v1]), VertexInterp(iso,g.p[v2],g.p[v3],g.val[v2],g.val[v3]), VertexInterp(iso,g.p[v0],g.p[v3],g.val[v0],g.val[v3])) return [tri,Triangle( tri.p[0], VertexInterp(iso,g.p[v1],g.p[v2],g.val[v1],g.val[v2]), tri.p[1]) ] def t0906(g, iso, v0, v1, v2, v3): tri=Triangle( VertexInterp(iso,g.p[v0],g.p[v1],g.val[v0],g.val[v1]), VertexInterp(iso,g.p[v1],g.p[v3],g.val[v1],g.val[v3]), VertexInterp(iso,g.p[v2],g.p[v3],g.val[v2],g.val[v3])) return [tri, Triangle( tri.p[0], VertexInterp(iso,g.p[v0],g.p[v2],g.val[v0],g.val[v2]), tri.p[2]) ] def t0708(g, iso, v0, v1, v2, v3): return [Triangle( VertexInterp(iso,g.p[v3],g.p[v0],g.val[v3],g.val[v0]), VertexInterp(iso,g.p[v3],g.p[v2],g.val[v3],g.val[v2]), VertexInterp(iso,g.p[v3],g.p[v1],g.val[v3],g.val[v1])) ] trianglefs = {7:t0708,8:t0708,9:t0906,6:t0906,10:t0A05,5:t0A05,11:t0B04,4:t0B04,12:t0C03,3:t0C03,13:t0D02,2:t0D02,14:t0E01,1:t0E01,0:t000F,15:t000F} def PolygoniseTri(g, iso, v0, v1, v2, v3): triangles = [] # Determine which of the 16 cases we have given which vertices # are above or below the isosurface triindex = 0; if g.val[v0] < iso: triindex |= 1 if g.val[v1] < iso: triindex |= 2 if g.val[v2] < iso: triindex |= 4 if g.val[v3] < iso: triindex |= 8 return trianglefs[triindex](g, iso, v0, v1, v2, v3) def VertexInterp(isolevel,p1,p2,valp1,valp2): if abs(isolevel-valp1) < 0.00001 : return(p1); if abs(isolevel-valp2) < 0.00001 : return(p2); if abs(valp1-valp2) < 0.00001 : return(p1); mu = (isolevel - valp1) / (valp2 - valp1) return Vector(p1.x + mu * (p2.x - p1.x), p1.y + mu * (p2.y - p1.y), p1.z + mu * (p2.z - p1.z)) if __name__ == "__main__": main() # GRASSHOPPER PYTHON OUTPUTPOINTS = rhinoscriptsyntax.AddPoints(POINTS_CONTAINER)POINTS = rhinoscriptsyntax.CullDuplicatePoints(POINTS)…
A repository of generic or complex examples.
Example 01: Attractor Values
ND_001_AttractorValues.gh
Example 02: Curve Values
ND_002_CurveValues.gh
Example 03: Point Attractor
ND_003_PointAttract