BIM for mining - Automated generation of information models using a parametric modelling concept

Approved

Classifications

MinEdu publication type
A1 Journal article (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Journal article
Host publication type
Journal

Authors of the publication

Number of authors
4
Authors
Salmi, Jyrki; Ye, Zehao; Ninic, Jelena; Heikkila, Rauno

Publication channel information

Title of journal/series
International journal of rock mechanics and mining sciences
ISSN (print)
1365-1609
ISSN (electronic)
1873-4545
ISSN (linking)
1365-1609
Publisher
Elsevier
Publication forum ID
58790
Publication forum level
3
Internationality
Yes

Detailed publication information

Publication year
2025
Reporting year
2025
Journal/series volume number
186
Article number
106032
DOI
10.1016/j.ijrmms.2025.106032
Language of publication
English

Co-publication information

International co-publication
Yes
Co-publication with a company
No

Availability

Link to self-archived version
https://urn.fi/URN:NBN:fi:oulu-202504162738

Classification and additional information

MinEdu field of science classification
212 Civil and Construction engineering
Keywords
Building information modelling (BIM); Mine information model (MIM); Mining information management; Parametric modelling; Scan-to-BIM

Funding information

Funding information in the publication
Next Generation Mining project (Business Finland, Dnro 44049/31/2020), Sandvik Mining and Construction, First Quantum Minerals Pyh asalmi Mine. Authors gratefully acknowledge the support.

Research data information

Research data information in the publication
Data will be made available on request.

Source database ID

WoS ID
WOS:001403245800001
Scopus ID
2-s2.0-85215430867