Multidisciplinary grammars supporting design optimization of buildings

verfasst von
Philipp Florian Geyer
Abstract

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.

Externe Organisation(en)
Technische Universität Berlin
Typ
Artikel
Journal
Research in engineering design
Band
18
Seiten
197-216
Anzahl der Seiten
20
ISSN
0934-9839
Publikationsdatum
11.01.2008
Publikationsstatus
Veröffentlicht
Peer-reviewed
Ja
ASJC Scopus Sachgebiete
Tief- und Ingenieurbau, Architektur, Maschinenbau, Wirtschaftsingenieurwesen und Fertigungstechnik
Ziele für nachhaltige Entwicklung
SDG 7 – Erschwingliche und saubere Energie
Elektronische Version(en)
https://doi.org/10.1007/s00163-007-0038-6 (Zugang: Geschlossen)