2008
DOI: 10.1007/978-3-540-78566-8_18
|View full text |Cite
|
Sign up to set email alerts
|

Prototypes for Automated Architectural 3D-Layout

Abstract: Abstract. Prototypes for automated spatial layout in architecture focus on approaches, which define occupiable space as an orthogonal 2D-grid and use algorithms to allocate each rectangle of the grid to a particular function. However, these approaches are limiting the design to orthogonal spatial layouts. Based on SAT solving techniques, the prototype presented in this paper proposes a methodology for automated 3D-space planning for orthogonal and nonorthogonal, more specifically, voxelized curvilinear geometr… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2008
2008
2016
2016

Publication Types

Select...
3
2
1

Relationship

0
6

Authors

Journals

citations
Cited by 7 publications
(3 citation statements)
references
References 5 publications
0
3
0
Order By: Relevance
“…In more recent attempts to automate the design of floor plan layout, Keatruangkamala and Sinapiromasaran [17] developed an interactive program that uses Mixed Integer Programming (MIP) to find optimal solutions or layouts.The method enables the user to specify design constraints, such as fixed position and boundary, which in turn speed up the computation by pruning the space of possible solutions. Another approach is presented in Bier et al [18], where a search based on Boolean satisfiability (SAT) is carried out by a SAT solver.The solver, MiniSat+, converts a set of user defined constraints into Boolean clauses and then searches for a combination which satisfies these clauses. Before the solver can begin searching, however, the method has to get the boundaries of the design from the user and break them up into voxels, or volumetric pixels.…”
Section: Automated Design Of Floor Plan Layoutsmentioning
confidence: 99%
See 1 more Smart Citation
“…In more recent attempts to automate the design of floor plan layout, Keatruangkamala and Sinapiromasaran [17] developed an interactive program that uses Mixed Integer Programming (MIP) to find optimal solutions or layouts.The method enables the user to specify design constraints, such as fixed position and boundary, which in turn speed up the computation by pruning the space of possible solutions. Another approach is presented in Bier et al [18], where a search based on Boolean satisfiability (SAT) is carried out by a SAT solver.The solver, MiniSat+, converts a set of user defined constraints into Boolean clauses and then searches for a combination which satisfies these clauses. Before the solver can begin searching, however, the method has to get the boundaries of the design from the user and break them up into voxels, or volumetric pixels.…”
Section: Automated Design Of Floor Plan Layoutsmentioning
confidence: 99%
“…Mitchell [2], for example, discusses the merits of automated design in architecture and also offers a method for generating least cost floor plan layouts [3]. In the past few decades various computational tools have been developed for automated design of floor plan layouts [4][5][8][9][10][11][12][13][14][15][16][17][18]. In general, these tools attempted to find the best possible floor plan layout to a given objective and set of constraints by searching through the space of all possible solutions.…”
Section: Introductionmentioning
confidence: 99%
“…Today, architects are working together with computer scientists to try and go beyond the bubble diagram and articulate a computational tool to automate architectural programmatic layout. At the Delft University of Technology a group of researchers developed a computational tool based on the idea of using voxels, volumetric pixels, to explore various programmatic layouts.The tool, Flexible FunctionLayouter (FlexFL) [7], takes as its input a curvilinear NURBS-based space, converts it to voxels, creating a voxelized space, and tries to find an optimal organization of functions that fits inside the space. FlexFL uses an iterative process to assign volumes to functions.…”
Section: The Architectural Programmentioning
confidence: 99%