Geometric optimization of building information models in MEP projects : Algorithms and techniques for improving storage, transmission and display
- Submitting institution
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University of Northumbria at Newcastle
- Unit of assessment
- 12 - Engineering
- Output identifier
- 25208633
- Type
- D - Journal article
- DOI
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10.1016/j.autcon.2019.102941
- Title of journal
- Automation in Construction
- Article number
- 102941
- First page
- -
- Volume
- 107
- Issue
- -
- ISSN
- 0926-5805
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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6
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The new optimisation techniques for storage, transmission, and viewing of MEP models developed in this paper, and the dramatic data volume reduction with no loss of fidelity, have been used as part of an initial demonstrator project for improving asset performance in a UKRI Strength in Places funded initiative (£50k in addition to £42k from in-kind funding). It’s subsequent development led to the International Centre for Connected Construction (https://www.northumbria.ac.uk/business-services/engage-with-us/ic3/) and a new network focused on three core themes that include improving asset performance and involve industry representatives from the National Building Specification, Ryder Architecture, Arup, Cundall and Dynamo North East.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
