TY - CHAP
T1 - A Framework for the Interactive Handling of High-Dimensional Simulation Data in Complex Geometries
AU - Benzina, Amal
AU - Buse, Gerrit
AU - Butnaru, Daniel
AU - Murarasu, Alin
AU - Treib, Marc
AU - Varduhn, Vasco
AU - Mundani, Ralf-Peter
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): UK-C0020
Acknowledgements: This publication is based on work supported by Award No. UK-C0020, madeby King Abdullah University of Science and Technology (KAUST). Furthermore, financial supportfrom the German Research Foundation (DFG) within research group 1546 – Rechnergestütztekooperative Trassenplanung in mehrskaligen 3D-Stadt und Bauwerksmodellen (3DTracks) isgratefully acknowledged.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.
PY - 2013/7/31
Y1 - 2013/7/31
N2 - Flow simulations around building infrastructure models involve large scale complex geometries, which when discretized in adequate detail entail high computational cost. Moreover, tasks such as simulation insight by steering or optimization require many such costly simulations. In this paper, we illustrate the whole pipeline of an integrated solution for interactive computational steering, developed for complex flow simulation scenarios that depend on a moderate number of both geometric and physical parameters. A mesh generator takes building information model input data and outputs a valid cartesian discretization. A sparse-grids-based surrogate model—a less costly substitute for the parameterized simulation—uses precomputed data to deliver approximated simulation results at interactive rates. Furthermore, a distributed multi-display visualization environment shows building infrastructure together with flow data. The focus is set on scalability and intuitive user interaction.
AB - Flow simulations around building infrastructure models involve large scale complex geometries, which when discretized in adequate detail entail high computational cost. Moreover, tasks such as simulation insight by steering or optimization require many such costly simulations. In this paper, we illustrate the whole pipeline of an integrated solution for interactive computational steering, developed for complex flow simulation scenarios that depend on a moderate number of both geometric and physical parameters. A mesh generator takes building information model input data and outputs a valid cartesian discretization. A sparse-grids-based surrogate model—a less costly substitute for the parameterized simulation—uses precomputed data to deliver approximated simulation results at interactive rates. Furthermore, a distributed multi-display visualization environment shows building infrastructure together with flow data. The focus is set on scalability and intuitive user interaction.
UR - http://hdl.handle.net/10754/597272
UR - http://link.springer.com/10.1007/978-3-642-38762-3_10
UR - http://www.scopus.com/inward/record.url?scp=85028823884&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-38762-3_10
DO - 10.1007/978-3-642-38762-3_10
M3 - Chapter
SN - 9783642387616
SP - 201
EP - 221
BT - Lecture Notes in Computational Science and Engineering
PB - Springer Nature
ER -