TY - JOUR

T1 - Multidisciplinary grammars supporting design optimization of buildings

AU - Geyer, Philipp Florian

N1 - Funding Information: Acknowledgments The author wishes to thank George Stiny for his invitation to the Design and Computation Group at the Massachusetts Institute of Technology where the work on grammars was carried out, and the German Academic Exchange Service (DAAD) for providing funding under grant D/05/46240. Moreover, the helpful discussions with Klaus Rückert, Karl Beucke, William J. Mitchell, and Oliver de Weck contributed to the project.

PY - 2008/1/11

Y1 - 2008/1/11

N2 - Optimization often focuses only on the variation of parameters while neglecting the consideration of alternative systems. However, the rearrangement of the components of a design offers important scope for improvement. To deal with such variations concerning the system structure of models for multidisciplinary design optimization (MDO), this paper proposes a framework for generating models dynamically using a design grammar with an underlying component-oriented analysis. Decomposition and modification rules support the derivation of alternative optimization model and the formalization of system changes. By linking qualitative characteristics with quantitative analyses, the components serve to assign architectural qualities to economic and environmental resources such as costs and energy consumption and thus to include non-numerical, qualitative characteristics within numerical optimization. The approach is developed with the help of a frame-based hall design and demonstrates system modifications of the optimization model by a specific rule set. The rule set focuses on the structural design but considers the effects for the other essential disciplines involved in the design case. The setup and the prototypical implementation of an optimization model for this design illustrate a way of including grammar-based system variations in MDO.

AB - Optimization often focuses only on the variation of parameters while neglecting the consideration of alternative systems. However, the rearrangement of the components of a design offers important scope for improvement. To deal with such variations concerning the system structure of models for multidisciplinary design optimization (MDO), this paper proposes a framework for generating models dynamically using a design grammar with an underlying component-oriented analysis. Decomposition and modification rules support the derivation of alternative optimization model and the formalization of system changes. By linking qualitative characteristics with quantitative analyses, the components serve to assign architectural qualities to economic and environmental resources such as costs and energy consumption and thus to include non-numerical, qualitative characteristics within numerical optimization. The approach is developed with the help of a frame-based hall design and demonstrates system modifications of the optimization model by a specific rule set. The rule set focuses on the structural design but considers the effects for the other essential disciplines involved in the design case. The setup and the prototypical implementation of an optimization model for this design illustrate a way of including grammar-based system variations in MDO.

UR - http://www.scopus.com/inward/record.url?scp=38749119364&partnerID=8YFLogxK

U2 - 10.1007/s00163-007-0038-6

DO - 10.1007/s00163-007-0038-6

M3 - Article

AN - SCOPUS:38749119364

VL - 18

SP - 197

EP - 216

JO - Research in engineering design

JF - Research in engineering design

SN - 0934-9839

IS - 4

ER -