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Spoted Academic Papers
https://ascelibrary.org/doi/abs/10.1061/(ASCE)CP.1943-5487.0000878
Automatic Detection of Geometric Errors in Space Boundaries of IFC-BIM Models Using Monte Carlo Ray Tracing Approach
Honk-Kong, 2020, Huaquan Ying and Sanghoon Lee
see discussion: Energy Modeling
https://community.osarch.org/discussion/109/energy-modeling#latest
or: Talk onTopologic
https://community.osarch.org/discussion/131/talk-on-topologic#latest
Tagged:
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https://research.tue.nl/en/publications/lbd-server-visualising-building-graphs-in-web-based-environments-
LBD server: Visualising Building Graphs in web-based environments using semantic graphs and glTF-models
Holland 2021, Andrew Malcolm, Jeroen Werbrouck, Pieter Pauwels
Keywords: Linked building data, IfcOWL , Web-based BIM , Xeogl
https://limo.libis.be/primo-explore/fulldisplay?docid=LIRIAS1644751&context=L&vid=Lirias&search_scope=Lirias&tab=default_tab&lang=en_US&fromSitemap=1
An automated IFC-based workflow for building energy performance simulation with Modelica
Belgium 2018, Ando Andriamamonjya, Dirk Saelens, Ralf Klein
Keywords: BIM, IFC4, Energy Efficiency, Building Performance Simulation, Building life cycle
http://www.ibpsa.org/proceedings/BS2019/BS2019_210693.pdf
Space Boundary Topology Simplification for Building Energy Performance Simulation Speedup
Crete 2019, Georgios N. Lilis, Georgios I. Giannakis, Kyriakos Katsigarakis, Dimitrios Rovas
see all of http://www.ibpsa.org/building-simulation-2019
https://vbn.aau.dk/files/315707094/Wetter_2019_IOP_Conf.Ser._Earth_Environ._Sci._323_012114_1.pdf
BIM/GIS and Modelica framework for building and community energy system design and operation – ongoing developments, lessons learned and challenges
USA 2019, Wetter M, van Treeck C, Helsen L, Maccarini A, Saelens D, Robinson D and Schweiger G
see https://ibpsa.github.io/project1/
https://doi.org/10.1016/j.autcon.2019.03.004
An algorithm to facet curved walls in IFC BIM for building energy analysis
Hong Kong 2019, Huaquan Ying, Sanghoon Lee
not free.. ask me or the authors.
https://ascelibrary.org/doi/abs/10.1061/9780784482865.021
Computational Algorithms for Digital Twin Support in Construction
Canada 2020, Chris Rausch; Benjamin Sanchez; Mansour Esnaashary Esfahani; and Carl Haas
about grasshopper and similar.. whole journal is open, check the other papers.
https://www.researchgate.net/publication/344416381_ANALYSIS_ON_AUTOMATIC_GENERATION_OF_BEPS_MODELS_FROM_BIM_MODEL
Germany 2020, Janakiram Karlapudi, Karsten Menzel
nothing new: Future research is focusing on achieving efficient data interoperability between AEC applications through the implementation of semantic web technologies and the Linked Data Paradigm (DIN EN ISO 21597-1. 2018).
https://www.hindawi.com/journals/ace/2020/8782740/
A Graph-Based Method for IFC Data Merging
China 2020, Qin Zhao , Yuchao Li, Xinhong Hei , and Mingsong Yang
more understandable semantic representation is needed ! but the way to go..
see discussion https://community.osarch.org/discussion/comment/4303#Comment_4303
https://www.academia.edu/11815911/The_implementation_of_BIM_within_the_public_procurement_A_model_based_approach_for_the_construction_industry
Finland 2013, Marzia Bolpagni (now in Milano)
240 pages on how 5-7 years ago BIM was used by the public Builders. A lot of examples on what Solibri and other Tools are go for. Legal obligations in different countries.
https://www.academia.edu/11815911/The_implementation_of_BIM_within_the_public_procurement_A_model_based_approach_for_the_construction_industry
Finland 2013, Marzia Bolpagni (now in Milano)
240 pages on how 5-7 years ago BIM was used by the public Builders. A lot of examples on what Solibri and other Tools are go for. Legal obligations in different countries.
https://research.tudelft.nl/en/publications/validation-and-inference-of-geometrical-relationships-in-ifc
TU-Deft Holland, Thomas Krijnen, Francesca Noardo, Ken Arroyo Ohori, Hugo Ledoux, and Jantien Stoter
ifc cleaning for a better (more precise) tree/graph..avoid geometrical uncertainties.. in preparation for BIM2BEM? or see Topologic discussion.
https://tud.qucosa.de/landing-page/?tx_dlf[id]=https://tud.qucosa.de/api/qucosa%3A73537/mets
A Semantic Data Model to Represent Building Material Data in AEC Collaborative Workflows
Dresden 2020, Prathap Valluru, Janakiram Karlapudi, Karsten Menzel, Teemu Mätäsniemi, Jari Shemeika
suggestion for an ontology for BIM materials (DICBM) ?
https://www.researchgate.net/publication/345253680_Performance_Analytics_through_Building_Information_Modelling_BIM_in_Retrofitting_Design_Towards_a_Graph-based_Data-to-Decisions_Framework
USA 2020, Eleanna Panagoulia, Tarek Rakha
? about RDF ?
https://www.hindawi.com/journals/ace/2019/1434093/
Developing an Extended IFC Data Schema and Mesh Generation Framework for Finite Element Modeling
China 2019, Zhao Xu, Zezhi Rao, Vincent J. L. Gan, Youliang Ding, Chunfeng Wan and Xinran Liu
from IFC to a mesh model for FEM analysis.. no code references?
https://www.researchgate.net/publication/345983333_IFC_to_Building_Energy_Performance_Simulation_A_systematic_review_of_the_main_adopted_tools_and_approaches
Milano2020, M. Elagiry et al.
BIM4REN project
ping @Cyril
https://onlinelibrary.wiley.com/doi/full/10.1111/tgis.12723
A modular graph transformation rule set for IFC-to-CityGML conversion
2021 Dresden & Singapor, H. Tauscher J. Lim and R. Stouffs
https://www.researchgate.net/search.Search.html?type=publication&query=Extending CityGML for IFC-sourced 3D city models
Extending CityGML for IFC-sourced 3D city models
2021, Singapor and UK , F.Biljecki et al.
https://www.researchgate.net/publication/346528681_A_Semantic_Data_Model_to_Represent_Building_Material_Data_in_AEC_Collaborative_Workflows
2020, Dresden & VTT Finland, P. Valluru et l.
https://www.hindawi.com/journals/ace/2020/8782740/
A Graph-Based Method for IFC Data Merging
2020, Xi'an China, Qin Zhao et al.
https://www.researchgate.net/publication/349217039_A_critical_analysis_of_linear_placement_in_IFC_models
2021 AEC3 and München, S. Muhic and A. Borrmann
infrastructure and railroad projects
https://doaj.org/article/9ab718de16bf44378d66908ddcaee48e
AUTOMATIC CONVERSION OF CITYGML TO IFC
2020, Delft NL, N. Salheb et al.
https://www.irbnet.de/daten/iconda/CIB_DC29372.pdf
The Information Modeling and the Progression of Data-Driven Projects
2016, Milano, M. Bolpagni
about LOD , development, detail or definition.. historical
https://research.tudelft.nl/en/publications/validation-and-inference-of-geometrical-relationships-in-ifc
2020, TU-Delft NL, T. Krijnen, F. Noardo and J. Stoten et al.
CGAL in addition to OCC in ifcopenshell.
https://journals.vgtu.lt/index.php/JCEM/article/view/9870
Exchange requirement-based delivery method of structural design information for collaborative design using industry foundation classes
2019 Shangaii, Huahui Lai; Cheng Zhou; Xueyuan Deng
IDM and MVDs via Exchange-Requirements matrix..
https://www.researchgate.net/publication/339745040_An_approach_based_on_the_ifcOWL_ontology_to_support_indoor_navigation
2020, Spain E.Gonzalez et al.
Hej @lukas would you be able to paste the abstract as well with each post? It's not always super obvious what the topic is
https://onlinelibrary.wiley.com/doi/pdf/10.1111/tgis.12723
A modular graph transformation rule set for IFC-to-CityGML conversion
2021, Dresden & Singapour, Tauscher, Lim and Souffs
Conversion of Industry Foundation Classes (IFC) building models into CityGML city models is one of the operational scenarios for BIM–GIS integration, with a variety of applications producing and consuming data on either side. Given the in-depth cross-domain knowledge required to specify such conversions, the heterogeneity of the IFC input data and the use cases for the resulting CityGML, flexible and configurable solutions are needed that make conversion details accessible to domain specialists. Graph transformation as a conversion method fulfils these requirements. We propose to extend the modularity given by single transfor-mation rules at a more coarse-grained level and identify four layers with modules of associated rules. We describe a self-contained set of rules across these modules and demonstrate its application to a range of building models.
https://publications.cms.bgu.tum.de/2017_vilgertshofer_advei.pdf
Using graph rewriting methods for the semi-automatic generation of parametric infrastructure models
2017, München, Simon Vilgertshofer, André Borrmann
For the design of large infrastructure projects such as inner-city subway tracks, it proves necessary to consider differing model scales, ranging from the scale of several kilometers down to a few millimeters. This challenge can be addressed by using multi-scale product models comprising multiple levels of detail (LoD). Ensuring consistency across the different LoDs can be achieved by applying procedural and para- metric modeling techniques while creating the model. This results in a flexible multi-scale model that can be easily modified on one scale while other scales are automatically updated. However, the correct appli- cation of parametric constraints and procedural dependencies has shown to be a very complex and time- consuming process. To address this issue, this papers presents a semi-automated detailing mechanism, which is based on formal procedures based on graphs and graph transformations. This paper discusses how procedural parametric models based on two-dimensional sketches can be represented by graphs and how detailing steps in the form of parametric modeling operations can be formalized by using rule-based graph rewriting.
https://www.researchgate.net/publication/220752995
Specification of Graph Translators with Triple Graph Grammars.
1994, Aachen, Schürr
Data integration is a key issue for any integrated set of software tools where each tool has its own data structures (at least on the conceptual level), but where we have many interdependencies between these private data structures. A typical CASE environment, for instance, offers tools for the manipulation of requirements and software design documents and provides more or less sophisticated assistance for keeping these documents in a consistent state. Up to now almost all of these data consistency observing or preserving integration tools are handcrafted due to the lack of generic implementation frameworks and the absence of adequate specification formalisms. Triple graph grammars, a proper superset of pair grammars, are intended to fill this gap and to support the specification of interdependencies between graph-like data structures on a very high level. Furthermore, they form a solid fundament of a new machinery for the production of batch-oriented as well as incrementally working data integration tools.