Custom Escape Route Models in IFC format

DOI

Description

The published data are digital building models (BIM models) in the IFC format (Industry Foundation Classes).The IFC models represent escape route models containing the geometry of escape routes and additional characteristics as properties. The models were generated from the escape route analysis results of a custom-developed fictional test model by researchers from the TU Wien Research Unit Digital Building Process.

Context and methodology

The IFC models were generated by software prototypes developed with the programming languages Python (IfcOpenShell) and JavaScript (web-ifc). The required information is given by the attached JSON file including the model structure as well as coordinates and properties of the escape routes.

The escape route results are generated from a custom-developed test model for escape route analysis (see related works). The test model is a fictional five-storey building that contains test scenarios for the requirements for escape routes arising from the relevant building regulations. These include start doors and start rooms with several different escape routes, interconnected spaces, an underground parking garage, and different dimensions of the elements along the routes.

The Custom Escape Route Models correspond to the IFC4 and IFC4X3_ADD2 schema.

Technical details

The dataset includes eight BIM models in the IFC format (.ifc) and one dataset in the JSON format.

The models can be used in any software that supports the IFC format.

Identifier
DOI https://doi.org/10.48436/tp76y-pxw11
Related Identifier References https://doi.org/10.48436/a185k-86v39
Related Identifier IsVersionOf https://doi.org/10.48436/dpwd5-33k50
Metadata Access https://researchdata.tuwien.ac.at/oai2d?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:researchdata.tuwien.ac.at:tp76y-pxw11
Provenance
Creator Haselberger, Matthias; Schnabel, Florian; Fischer, Simon ORCID logo; Urban, Harald ORCID logo; Schranz, Christian ORCID logo
Publisher TU Wien
Publication Year 2024
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/legalcode
OpenAccess true
Contact tudata(at)tuwien.ac.at
Representation
Resource Type Dataset
Version 1.0.0
Discipline Other