| Title: | Optimizing H-BIM workflow for interventions on historical building elements |
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| Authors: | ID Guerra de Oliveira, Sara (Author)
ID Biancardo, Salvatore Antonio (Author)
ID Tibaut, Andrej (Author) |
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| Files: |  sustainability-14-09703-v2.pdf (5,00 MB)
MD5: 17449F282231964E5E9724C927688D4E
 https://www.mdpi.com/2071-1050/14/15/9703
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| Language: | English |
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| Work type: | Article |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FGPA - Faculty of Civil Engineering, Transportation Engineering and Architecture
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| Abstract: | Intervention projects for historical buildings depend on the quality of multidisciplinary
data sets; their collection, structure, and semantics. Building information model (BIM) based workflows for historical buildings accumulate some of the data sets in a shared information model that
contains the building’s geometry assemblies with associated attributes (such as material). A BIM
model of any building can be a source of data for different engineering assessments, for example, solar
and wind exposure and seismic vulnerability, but for historic buildings it is particularly important
for interventions like conservation, rehabilitation, and improvements such as refurbishment and
retrofitting. When the BIM model is abstracted to a semantic model, enabling the use of semantic
technologies such as reasoning and querying, semantic links can be established to other historical
contexts. The semantic technologies help historic building experts to aggregate data into meaningful
form. Ontologies provide them with an accurate knowledge representation of the concepts, relationships, and rules related to the historic building. In the paper, we are proposing an improved
workflow for the transformation of a heritage BIM model to a semantic model. In the BIM part the
workflow demonstrates how the fully parametric modelling of historical building components is
relevant, for example, in terms of reusability and adaptation to a different context. In the semantic
model part, ontology reuse, reasoning, and querying mechanisms are applied to validate the usability
of the proposed workflow. The presented work will improve knowledge-sharing and reuse among
stakeholders involved in historic building projects. |
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| Keywords: | heritage building information modelling (H-BIM), algorithmic design, semantic model, ifcOWL, Erlangen CRM, OWL, SPARQL |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 17.06.2022 |
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| Article acceptance date: | 04.08.2022 |
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| Publication date: | 06.08.2022 |
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| Publisher: | MDPI |
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| Year of publishing: | 2022 |
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| Number of pages: | str. 1-19 |
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| Numbering: | Vol. 14, iss. 15 (9703) |
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| PID: | 20.500.12556/DKUM-92067  |
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| UDC: | 719:7.021.5 |
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| ISSN on article: | 2071-1050 |
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| COBISS.SI-ID: | 118584579 |
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| DOI: | 10.3390/su14159703 |
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| Copyright: | © 2022 by the authors |
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| Publication date in DKUM: | 13.03.2025 |
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| Views: | 180 |
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| Downloads: | 9 |
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| Metadata: |    |
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| Categories: | Misc.
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