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CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	d423
authors	Arvin, Scott A. and House, Donald H.
year	1999
title	Making Designs Come Alive: Using Physically Based Modeling Techniques in Space Layout Planning
source	Proceedings of the Eighth International Conference on Computer Aided Architectural Design Futures [ISBN 0-7923-8536-5] Atlanta, 7-8 June 1999, pp. 245-262
summary	This paper introduces the concept of responsive design. It elaborates this concept as an approach to free form, adaptable, automated design applying physically based modeling techniques to the design process. Our approach attempts to bridge the gap between totally automated design and the free form brainstorming designers normally employ. We do this by automating the initial placement and sizing of design elements, with an interactive engine that appears alive and highly responsive. We present a method for applying these techniques to architectural space layout planning, and preliminary implementation details for a prototype system for developing rectangular, two-dimensional, single- story floor plans.
keywords	Physically Based Space Layout, Physically Based Design, Responsive Design, Space Layout Planning, Computer-aided Design, Human-computer Interaction
series	CAAD Futures
email
last changed	2006/11/07 07:22

_id	f317
authors	Arvin, Scott A. and House, Donald H.
year	1999
title	Modeling Architectural Design Objectives in Physically Based Space Planning
source	Media and Design Process [ACADIA ‘99 / ISBN 1-880250-08-X] Salt Lake City 29-31 October 1999, pp. 212-225
doi	https://doi.org/10.52842/conf.acadia.1999.212
summary	Physically based space planning is a means for automating the conceptual design process by applying the physics of motion to space plan elements. This methodology provides for a responsive design process, which allows a designer to easily make decisions whose consequences immediately propagate throughout the design. It combines the speed of automated design methods with the flexibility of manual design methods, while adding a highly interactive quality and a sense of collaboration with the design itself. In our approach, the designer creates a space plan by specifying and modifying graphic design objectives rather than by directly manipulating primitive geometry. The plan adapts to the changing state of objectives by applying the physics of motion to its elements. For design objectives to have an effect on a physically based space plan, they need to be able to apply appropriate forces to space plan elements. Space planning can be separated into two problems, determining topological properties and determining geometric properties. Design objectives can then be categorized as topological or geometric objectives. Topological objectives influence the location of individual spaces, affecting how one space relates to another. Geometric objectives influence the size and shape of space boundaries, affecting the dimensions of individual walls. This paper focuses on how to model a variety of design objectives for use in a physically based space planning system. We describe how topological objectives, such as adjacency and orientation, can be modeled to apply forces to space locations, and how geometric objectives, such as area, proportion, and alignment, can be modeled to apply forces to boundary edges.
series	ACADIA
email
last changed	2022/06/07 07:54

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