Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/107607
DC FieldValueLanguage
dc.contributorDepartment of Civil and Environmental Engineering-
dc.contributorDepartment of Aeronautical and Aviation Engineering-
dc.creatorZhang, Cen_US
dc.creatorWen, CYen_US
dc.creatorJuan, YHen_US
dc.creatorLee, YTen_US
dc.creatorChen, Zen_US
dc.creatorYang, ASen_US
dc.creatorLi, Zen_US
dc.date.accessioned2024-07-04T08:49:04Z-
dc.date.available2024-07-04T08:49:04Z-
dc.identifier.issn0360-1323en_US
dc.identifier.urihttp://hdl.handle.net/10397/107607-
dc.language.isoenen_US
dc.publisherElsevier BVen_US
dc.subjectCFDen_US
dc.subjectSimulation accelerationen_US
dc.subjectUrban winden_US
dc.subjectVentilationen_US
dc.titleAccelerating flow simulations in the built environment by using the fast fluid dynamics initializeren_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume253en_US
dc.identifier.doi10.1016/j.buildenv.2024.111274en_US
dcterms.abstractThis study introduces the Fast fluid dynamics (FFD) based initializer as a novel approach to accelerate steady-state flow simulations. Three modes - Coarse-Mesh Mode (CMM), Large Timestep Mode (LTM), and Hybrid Mode (HM) - are developed on the OpenFOAM platform for efficiently simulating airflow in the built environment. All three modes exhibit faster computations than standard initialization methods by enabling quicker attainment of desired flow states and reducing the required matrix iterations. These initializers demonstrate better performance in flow problems characterized by higher Reynolds numbers. The CMM initializer achieves a nearly six-fold increase in speed by mapping initial solutions from a coarse mesh to a fine mesh. The LTM initializer allows for larger timesteps during initialization, resulting in a two-fold speed improvement in fluid simulation. The HM initializer combines the advantages of both CMM and LTM. However, it does not surpass the speed-up performance of the previous two modes. Apart from the benchmark test case, the proposed initializers can be applied to other indoor and outdoor flow scenarios. Furthermore, the simulation process is further streamlined by automating the execution of the initializer using scripts, eliminating the need for manual step-by-step inputs.-
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationBuilding and environment, 1 Apr. 2024, v. 253, 111274en_US
dcterms.isPartOfBuilding and environmenten_US
dcterms.issued2024-04-01-
dc.identifier.scopus2-s2.0-85185830550-
dc.identifier.eissn1873-684Xen_US
dc.identifier.artn111274en_US
dc.description.validate202407 bcch-
dc.identifier.FolderNumbera2944-
dc.identifier.SubFormID48874-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2026-04-01en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 2026-04-01
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