TR195: CAD-Centric Attribution Methodology for Multidisciplinary Optimization (CAMMO): Enabling Designers to Efficiently Formulate and Evaluate Large Design Spaces

Placeholder Show Content

Abstract/Contents

Abstract
Research has demonstrated that multidisciplinary design optimization (MDO) processes that automate the workflow from a parametric product model to performance simulation engines can compress design cycle time, increase design knowledge, and yield substantive product quality and performance gains. However, the accuracy and cost-effectiveness of an MDO process is highly dependent on designers’ ability to structure the optimization problem for specific challenges, particularly when specifying how building attributes and their associated geometry are configured for an optimization process. To fit current workflows efficiently, designers need flexible CAD-centric attribution methods for MDO environments. These methods are not addressed in literature, or defined in available methods. This paper fills these gaps by developing a CAD-Centric Attribution Methodology for Multidisciplinary Optimization (CAMMO). The authors demonstrate the potential power and generality of CAMMO with two industry case studies.

Description

Type of resource text
Date created March 2012

Creators/Contributors

Author Welle, Benjamin
Author Haymaker, John
Author Fischer, Martin
Author Bazjanac, Vladimir

Subjects

Subject CIFE
Subject Center for Integrated Facility Engineering
Subject Stanford University
Subject CAD-centric attribution
Subject Conceptual Building Design
Subject daylighting simulation
Subject Energy Simulation
Subject MDO
Subject Multidisciplinary Design Optimization
Subject process integration and design automation
Genre Technical report

Bibliographic information

Access conditions

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
Welle, Benjamin and Haymaker, John and Fischer, Martin and Bazjanac, Vladimir . (2012). TR195: CAD-Centric Attribution Methodology for Multidisciplinary Optimization (CAMMO): Enabling Designers to Efficiently Formulate and Evaluate Large Design Spaces. Stanford Digital Repository. Available at: http://purl.stanford.edu/rp997qb4230

Collection

CIFE Publications

Contact information

Loading usage metrics...