TR194: Design Scenarios: Enabling Requirements-Driven Parametric Design Spaces

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Abstract/Contents

Abstract
This paper presents a novel methodology called Design Scenarios (DS) intended for use in conceptual design of buildings. DS enables multidisciplinary design teams to streamline the requirements definition, alternative generation, analysis, and decision-making processes by providing a methodology for building and managing requirements driven design spaces with parametric Computer Aided Design (CAD) tools. DS consists of four interdependent models: (1) Requirements Model – stakeholders and designers explicitly define and prioritize context specific design requirements; (2) Scenarios Model (SM) – designers formally transform these requirements into actions necessary to achieve them, and determine the geometric and material parameters, interrelationships, and potential conflicts; (3) Parametric Process Model (PPM) – CAD experts build and represent the technical implementation of a SM in a parametric model to enable design teams to manage and communicate its CAD models; (4) Alternative Analysis Model – analyze and visually report performance back to the designers and stakeholders. This paper motivates the need for the DS methodology thorough industry case studies, and establishes points of departure for the methodology through literature review. Next, the paper details the elements and methods in the methodology, describes its implementation into a software prototype, and provides an example to illustrate how DS can potentially enable multidisciplinary teams to generate and communicate larger and better performing design spaces more efficiently than with traditional methods.

Description

Type of resource text
Date created August 2010

Creators/Contributors

Author Gane, Victor
Author Haymaker, John

Subjects

Subject CIFE
Subject Center for Integrated Facility Engineering
Subject Stanford University
Subject Conceptual Design
Subject design spaces
Subject Ontology
Subject Parametric Modeling
Subject Process Mapping
Subject Requirements Modeling
Genre Technical report

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Use and reproduction
User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.

Preferred citation

Preferred Citation
Gane, Victor and Haymaker, John. (2010). TR194: Design Scenarios: Enabling Requirements-Driven Parametric Design Spaces. Stanford Digital Repository. Available at: http://purl.stanford.edu/pk865yz9898

Collection

CIFE Publications

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