Component-oriented decomposition for multidisciplinary design optimization in building design

The potential of Multidisciplinary Design Optimization (MDO) is not sufficiently exploited in current building design practice. I argue that this field of engineering requires a special setup of the optimization model that considers the uniqueness of buildings, and allows the designer to interact with the optimization in order to assess qualities of aesthetics, expression, and building function. For this reason, the approach applies a performance optimization based on resource consumption extended by preference criteria. Furthermore, building design-specific components serve for the decomposition and an interactive way of working. The component scheme follows the Industry Foundation Classes (IFC) as a common Building Information Model (BIM) standard in order to allow a seamless integration into an interactive CAD working process in the future. A representative case study dealing with a frame-based hall design serves to illustrate these considerations. An N-Square diagram or Design Structure Matrix (DSM) represents the system of components with the disciplinary dependencies and workflow of the analysis. The application of a Multiobjective Genetic Algorithm (MOGA) leads to demonstrable results.

[1]  Kristina Shea,et al.  EVOLVING OPTIMIZED BRACED STEEL FRAMEWORKS FOR TALL BUILDINGS USING MODIFIED PATTERN SEARCH , 2005 .

[2]  Christina Bloebaum,et al.  Decomposition Methods for Multidisciplinary Synthesis , 1993 .

[3]  José Herskovits,et al.  Advances in structural optimization , 1995 .

[4]  W. Stadler Multicriteria Optimization in Engineering and in the Sciences , 1988 .

[5]  Hideyuki Takagi,et al.  Interactive evolutionary computation: fusion of the capabilities of EC optimization and human evaluation , 2001, Proc. IEEE.

[6]  Achille Messac,et al.  Physical programming - Effective optimization for computational design , 1996 .

[7]  George Stiny,et al.  Shape Grammars and the Generative Specification of Painting and Sculpture , 1971, IFIP Congress.

[8]  John Christopher Miles,et al.  Designer Centered Development of GA-Based DSS for Conceptual Design of Buildings , 2003 .

[9]  Jaroslaw Sobieszczanski-Sobieski,et al.  Multidisciplinary Design Optimization: An Emerging New Engineering Discipline , 1995 .

[10]  Breanna Bailey and Anne Raich Capturing User Aesthetic Design Preferences During Multi-Objective Roof Truss Optimization , 2006 .

[11]  D. E. Grierson,et al.  Method for Conceptual Design Applied to Office Buildings , 2002 .

[12]  Kristina Shea,et al.  Multicriteria Optimization of Paneled Building Envelopes Using Ant Colony Optimization , 2006, EG-ICE.

[13]  Peter Eyerer,et al.  Ökologische Bilanzierung von Baustoffen und Gebäuden , 2000 .

[14]  M. Bendsøe,et al.  Generating optimal topologies in structural design using a homogenization method , 1988 .

[15]  Juhani Koski,et al.  Multicriteria Truss Optimization , 1988 .

[16]  Weimin Wang,et al.  Applying multi-objective genetic algorithms in green building design optimization , 2005 .

[17]  Steven J. Fenves,et al.  A Representation for Conceptual Design of Buildings , 2000 .

[18]  Hojjat Adeli,et al.  Cost Optimization of Structures: Fuzzy Logic, Genetic Algorithms, and Parallel Computing , 2006 .

[19]  Steve Jones REALITY© AND VIRTUAL REALITY© , 2006 .

[20]  Claude Bédard,et al.  Computer Representation to Support Conceptual Structural Design within a Building Architectural Context , 2006 .

[21]  Kai-Uwe Bletzinger,et al.  Prediction of interdisciplinary consequences for decisions in AEC design processes , 2006, J. Inf. Technol. Constr..

[22]  Weimin Wang,et al.  An object-oriented framework for simulation-based green building design optimization with genetic algorithms , 2005, Adv. Eng. Informatics.

[23]  Philipp Geyer,et al.  Multidisciplinary grammars supporting design optimization of buildings , 2008 .

[24]  Stephan Rudolph,et al.  "43" - A Generic Approach for Engineering Design Grammars , 2003 .

[25]  Sobieszczanski Jaroslaw,et al.  Bi-Level Integrated System Synthesis (BLISS) , 1998 .

[26]  Weimin Wang,et al.  Floor shape optimization for green building design , 2006, Adv. Eng. Informatics.