TY - GEN

T1 - Design decision support

T2 - 2014 International Conference on Computing in Civil and Building Engineering

AU - Ritter, Fabian

AU - Schubert, G.

AU - Geyer, Philipp Florian

AU - Borrmann, André

AU - Petzold, Frank

N1 - Publisher Copyright: © 2014 American Society of Civil Engineers

PY - 2014/6/17

Y1 - 2014/6/17

N2 - Today's design teams have to consider many different parameters and design options from an early stage, which can ultimately have a significant impact on the final performance of the building. Simulations can be used to help design teams understand the consequences of the decisions they take and assess potential variants. In the early stages of the design process, however, the information needed to conduct accurate simulations is often lacking. To address this issue, we developed a new method for Design Decision Support (DDS) that makes it possible to run simulations based on vague and incomplete input data using a method called surrogate modelling which implements parametric simulation data as a quick response performance model for the early design phases. This method is based on parametric simulation models that contain the required information. Designers can use these models to obtain instant feedback on their design and suggestions for further improvements. In our implementation, we have linked this system to a multi-touch environment that links physical volumetric models with the surrogate models, allowing designers to employ familiar approaches to design thinking. This prototype provides designers with direct access to energy performance simulations in the early design stages. This will be expanded in the future to provide further simulations.

AB - Today's design teams have to consider many different parameters and design options from an early stage, which can ultimately have a significant impact on the final performance of the building. Simulations can be used to help design teams understand the consequences of the decisions they take and assess potential variants. In the early stages of the design process, however, the information needed to conduct accurate simulations is often lacking. To address this issue, we developed a new method for Design Decision Support (DDS) that makes it possible to run simulations based on vague and incomplete input data using a method called surrogate modelling which implements parametric simulation data as a quick response performance model for the early design phases. This method is based on parametric simulation models that contain the required information. Designers can use these models to obtain instant feedback on their design and suggestions for further improvements. In our implementation, we have linked this system to a multi-touch environment that links physical volumetric models with the surrogate models, allowing designers to employ familiar approaches to design thinking. This prototype provides designers with direct access to energy performance simulations in the early design stages. This will be expanded in the future to provide further simulations.

UR - http://www.scopus.com/inward/record.url?scp=84934300557&partnerID=8YFLogxK

U2 - 10.1061/9780784413616.251

DO - 10.1061/9780784413616.251

M3 - Conference contribution

AN - SCOPUS:84934300557

SP - 2023

EP - 2031

BT - Computing in Civil and Building Engineering - Proceedings of the 2014 International Conference on Computing in Civil and Building Engineering

A2 - Issa, R. Raymond

A2 - Flood, Ian

PB - American Society of Civil Engineers (ASCE)

Y2 - 23 June 2014 through 25 June 2014

ER -