Design

Abstract This paper proposes a workflow for Assembly-Aware Design (AAD) of masonry shell structures and introduces an interactive tool in a CAD environment to assist the design process while simulating the step-by-step assembly of masonry blocks. Thus designers can explore the design space of masonry shell structures and be aware of structural performance before the assembly phase, at the early design stage. Masonry shell structures are an old construction technique, which has recently received a lot of attention due to new computational methods. Even though the form of such a structure is optimised for structural performance, its incomplete form during construction often requires the support of falseworks, which can be extensive, costly and time-consuming. To tackle this unsolved problem, we developed an assembly strategy that significantly reduces the falsework usage while still maintaining the equilibrium of the incomplete shell at each assembly step. The key idea is to compute a disassembly strategy inspired by the Jenga game and then reverse it to obtain the actual assembly sequence of the masonry blocks. Rather than using discrete element methods to predict the structural behaviour of the masonry blocks, we employed the GPU-based rigid-body dynamic solver from the engine NVIDIA PhysX, this allows very fast computation speeds while still offering sufficient accuracy for our purposes. Finally, we verified our method using small-scale 3D printed models. ...

I was in the computational design team while designing the ICD/ITKE Research Pavilion 2015-16 and was mainly in charge of developing computational tools. Here is the demonstration video to show the geometrical implementation. One of the input parameters from the plugin is a mesh surface, and the output parameters are all tree data structure thus some double-layer light weight structure as well as some planar plates can be generated (Planar plate wasn’t realized due to the decision making and scheduling during the development). All the geometries are labeled in the right sequence so they can be fabricated directly: ...

I wrote this short swarm script with GUI interface in Processing about 4 years ago (When I began to code)… Now I figure out lots of code from this script should be improved! For instance, we can implement KDTree later… Hope this code from the previous version will help people who needs or interested in it. Processing Source Code: The full source code (drawLineFish3DUI.pde, Fish.pde, Manage.pde) is available on GitHub.

These are my Rhino.Python practice while I studied at Stuttgart University. Rhino.Python - 1D 2D 3D Rhino.Python - Swarm bridge Rhino.Python - tessellation and subdivision Rhino.Python - Boy Surface and subdivision

Gene Kao, Ting-Chun portfolio 2008-2013

Swarm in Grasshopper using GH_Python component. Testing swarm behaviour in Rhino is in this post: Rhino.Python Swarm Bridge For more discussion please visit my post in grasshopper example forum. GH_Python Code: ### --Written by Gene Ting-Chun Kao-- ### ghenv.Component.Message = "written by +GENEATCG" import rhinoscriptsyntax as rs import Rhino as rc from random import * rectX = 600 rectY = 600 class Runner: def __init__(self, p, v): self.p = p self.v = v self.a = rs.VectorCreate( (0,0,0),(0,0,0) ) def ptRun(self): self.v = rs.VectorAdd(self.v, self.a) v = rs.VectorLength(self.v) if v > 2: self.v = rs.VectorScale(rs.VectorUnitize(self.v), 2) self.p = rs.VectorAdd(self.p, self.v) self.a = rs.VectorCreate( (0,0,0),(0,0,0) ) # ... (full code on GitHub)

Clock Design using Processing clockdesign_001_basic clockdesign_002_mondaine