Analysing Systems Interdependencies Using a Digital Twin
Authors
Whyte, Jennifer
Coca, Daniel
Fitzgerald, John
Mayfield, Martin
Pierce, Ken
Shah, Nilay
Chen, Long
Gamble, Carl
Genes, Cristian
Babovic, Filip
Pedro, Akeem
Publication Date
2019-07Publisher
CDBB
Number
CDBB_REP_37
Type
Report
Metadata
Show full item recordCitation
Whyte, J., Coca, D., Fitzgerald, J., Mayfield, M., Pierce, K., Shah, N., Chen, L., et al. (2019). Analysing Systems Interdependencies Using a Digital Twin. (CDBB_REP_37)https://doi.org/10.17863/CAM.43314
Abstract
This work provides a first step towards next-generation systems engineering by demonstrating the feasibility of using a digital twin to generate new insight into systems relationships and interdependencies. This step required substantial interdisciplinary work and industry collaboration in order to examine the potential to combine a set of relevant analytical methods (e.g. BIM query, network analyses and multi-modelling). We assembled an experienced team (Imperial College London, University of Sheffield, Newcastle University), and worked closely with and used empirical data from a major project (Thames Tideway Tunnel). This first step delivers fundamental theoretical understanding that will support the use of the digital twin for systems analyses, and a practical contribution to the identification, prioritisation and management of interdependencies. The long-term ambition is to build the tools that decision makers need in order to understand infrastructure system interdependencies within and across project boundaries.
Identifiers
This record's DOI: https://doi.org/10.17863/CAM.43314
This record's URL: https://www.repository.cam.ac.uk/handle/1810/296269
Rights
Licence:
http://www.rioxx.net/licenses/all-rights-reserved