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CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	2192
authors	Mahdavi, A., Mathew, P., Hartkopf, V. and Loftness, V.
year	1996
title	Bi-directional Inference in Thermal Design
doi	https://doi.org/10.52842/conf.acadia.1996.133
source	Design Computation: Collaboration, Reasoning, Pedagogy [ACADIA Conference Proceedings / ISBN 1-880250-05-5] Tucson (Arizona / USA) October 31 - November 2, 1996, pp. 133-143
summary	This paper demonstrates a computational bi-directional energy modeling approach for building design development. Conventional simulation tools may be labeled as mono-directional in that they require a more or Iess complete design definition in order to derive performance indicators. However, in certain circumstances, it may be desirable to reverse this process: a bi-directional (or "open") inference mechanism would allow for the identification of those changes in the design variables that would accommodate a desired change in a performance indicator. The performance-to-design mapping process is an ambiguous one: the same performance (e.g. energy use of a building, temperature variations in a space) may be achieved by different design configurations (various wall and window dimensions/properties, building orientation/massing, etc.). As a result, the actual implementation of a bi-directional inference tool is a rather difficult task. The development described in this paper utilizes a preference-based approach that involves the formalization of various external or internal constraints and preferences (such as code and standard requirements, results of post-occupancy studies, individual priorities of designers and their clients, etc.) in terms of normalized numeric scales. After a brief review of the underlying technology for the implementation of the inference engine, the paper demonstrates an actual design session using a bi-directional thermal simulation tool. Specifically, a use-scenario is described in which the designer explores the tradeoffs between various design variables (glazing area, glazing type, and floor mass) in view of the resulting energy performance of a typical residential building. The paper concludes with a discussion of the potential and limitations of the bi-directional approach toward active convergence support for performance-oriented design development.
series	ACADIA
email
last changed	2022/06/07 07:59

_id	e02e
authors	Mahdavi, A., Mathew, P., Lee, S., Brahme, R., Kumar, S., Liu, G., Ries, R. and Wong, N.H.
year	1996
title	On the Structure and Elements of SEMPER
doi	https://doi.org/10.52842/conf.acadia.1996.071
source	Design Computation: Collaboration, Reasoning, Pedagogy [ACADIA Conference Proceedings / ISBN 1-880250-05-5] Tucson (Arizona / USA) October 31 - November 2, 1996, pp. 71-84
summary	This paper introduces the concept, structure, components, and application results of "SEMPER", an active, multi-aspect computational tool for comprehensive simulation-based design assistance. Specifically, SEMPER seeks to meet the following requirements: a) a methodologically consistent (first- principles-based) performance modeling approach through the entire building design and engineering process; b) seamless and dynamic communication between the simulation models and an object- oriented space-based design environment using the structural homology of various domain representations; and c) "preference-based" performance-to-design mapping technology (bidirectional inference). SEMPER involves the integrated computational modeling of heat transfer, air flow, HVAC system performance, thermal comfort, daylighting and electrical lighting, acoustics, and life-cycle assessment.
series	ACADIA
email
last changed	2022/06/07 07:59

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