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F Ritter, G Schubert, P Geyer, A Borrmann, F Petzold

Design Decision Support - Real-Time Energy Simulation in the Early Design Stages

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Series: w78:2014 (browse)
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F Ritter, P Geyer, A Borrmann

Simulation-based Decision-making in Early Design Stages

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Series: w78:2015 (browse)
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Philipp Geyer

Models And Production Systems For Multidisciplinary Optimization In Building Design

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Series: w78:2006 (browse)
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Philipp Geyer

Embedding optimization in the design process of buildings – a hall example

Abstract: Considering the economic effort and the ecologic impacts of the building industry, optimization embedded in the design process of buildings is desirable as a flexible tool. To apply Multidisciplinary Design Optimization (MDO) to building design, adaptations to the special needs of this field are required. In this paper, first, appropriate objectives are discussed, which distribute to three major groups: economic performance, ecologic performance, and preference accordance concerning aesthetics and functionality. Second, the decomposition by components specific for building-design, which link non-numerical qualities with physical, economic, and ecologic quantities, is discussed. The steps are illustrated by means of a demonstrational hall design. Finally, the results of a test run presented for this example reveal the nature of the design space. In conclusion, the specific objectives and components and the system-oriented decompo-sition provide the basis for a CAD-oriented usage of optimization during the design process.

Keywords: multidisciplinary optimization, building-design-specific decomposition, optimization model, computer-aided design

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Full text: content.pdf (639,115 bytes) (available to registered users only)

Series: w78:2007 (browse)
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Ritter F,Geyer P,Borrmann A

The design space exploration assistance method: constraints and objectives

Abstract: In the early design stages of buildings, architects cope with a multitude of decisions that affect the later performance of the building. Most of these decisions have a fundamental impact on the building design - later changes are impossible or require a very high effort. When taking these decisions, numerous constraints and objectives have to be considered. With today’s mainly manual design workflows, only very few design options can be elaborated and evaluated against the various performance criteria. In consequence, the design space (the space of all possible design options) is explored only to a very limited extend and finding a good solution depends strongly on the experience of the designing architect. To cope with this issue and to better support architects in the early design stage, we are developing the Design Space Exploration Assistance Method (DSEAM). The method aims at applying techniques of advanced computation to provide comprehensive information and design options. To provide a sound foundation for this method, this paper investigates how relevant and evaluable the individual objectives and performance criteria are. In addition, we discuss the importance of geometric constraints in building design and describe an approach which allows architects to define them in an intuitive interactive graphical manner.

Keywords: Design Space Exploration,Conceptual Design,Optimization,Decision Making

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Full text: content.pdf (625,686 bytes) (available to registered users only)

Series: convr:2013 (browse)
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SM Holzer & F Geyer

Resources, Time & Money: Why project schedules simply don't work

Abstract: Construction of buildings is a very special kind of production because each product is generally produced only once, as an individual. Therefore, there is no means of an empirical assessment of cost as a function of resource deployment, time, and sequence of tasks, by way of experimentation as in the case of industrial mass production. On the other hand, buildings are very expensive, so that there is a great need for reliable cost estimation, estimate updates during construction, and cost analysis. Due to the lack of known, reliable functional relations between the key cost-relevant quantities, very coarse simplifications of the system need to be introduced. The contribution discusses ways to develop such simplified cost models, without rendering valueless the results obtained by such a model. We assume that the whole cost estimation process will be implemented into an overall schedule planning system, without introducing insurmountable overhead.

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Full text: content.pdf (251,495 bytes) (available to registered users only)

Series: w78:2005 (browse)
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Permission to reproduce these papers has been graciously provided by the Technische Universität Dresden.


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