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

PDF papers
id acadia12_457
authors Shook, David ; Sarkisian, Mark
year 2012
title Weighted Metrics: Synthesizing Elements for Tall Building Design
source ACADIA 12: Synthetic Digital Ecologies [Proceedings of the 32nd Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-1-62407-267-3] San Francisco 18-21 October, 2012), pp. 457-466
summary Salient attributes of previously designed projects can be examined to understand how key parameters could inform current design practices. These parameters include gross floor area, number of stories, occupancy, material type, geographic location, seismicity, climatic influences, etc. Two informative analysis tools for intelligent design have been developed which can be used from preliminary planning stages to the final design of individual structures to district-wide developments. These tools can evaluate concurrent influences of these parameters on the built environment. The first is the Environmental Analysis Tool™ (EA Tool). The EA Tool quantifies the estimated equivalent carbon dioxide emissions of structural components. The second analysis tool is Parametric City Modeling (PCM). PCM estimates the usable area of a tower by estimating net floor area. These tools can also be applied to multiple buildings at a district scale to facilitate a new level of design in urban planning efforts. Design information embodied in the physical built environment finds new purpose in the informative prediction of performance at the on-set of digital design. Harvesting and mining data as a natural resource brings new potential to informed design. These concepts and subsequent tools are vital to building sustainable and efficient cities of the future.
keywords Data Harvesting , Sustainability , Building Efficiency , Urban Planning , Parametric Design , Optimization
series ACADIA
type normal paper
full text file.pdf (425,960 bytes)
references Content-type: text/plain
Details Citation Select
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