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Tunnel QRA: Present and Future Perspectives
Cyient Limited Hyderabad.
Western Norway University of Applied Sciences, Haugesund .
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
2019 (English)In: System Performance and Management Analytics / [ed] P. K. Kapur, Yury Klochkov, Ajit Kumar Verma, Gurinder Singh, Springer, 2019, p. 387-403Chapter in book (Refereed)
Abstract [en]

With the vision of faster in-land transportation of humans and goods, long tunnels with increasing engineering complexities are being designed, constructed and operated. Such complexities arise due to terrain (network of small tunnels) and requirement of multiple entries and exits (network of traffics leading to non-homogenous behaviour). Increased complexities of such tunnels throw unique challenges for performing QRA for such tunnels, which gets compounded due to handful number of experiments performed in real tunnels, as they are costly and dangerous. A combined approach of CFD modelling of scaled down tunnels could be a relatively less resource intensive solution, nevertheless, associated with its increased uncertainties due to introduction of scaling multiplication factors. Further, with the advent of smart system designs and cheap computational cost, a smart tunnel which manages its own traffic of both dangerous goods carriers and other passenger vehicles based on continuously updated dynamic risk estimate, is not far from reality.

Place, publisher, year, edition, pages
Springer, 2019. p. 387-403
Series
Asset Analytics, ISSN 2522-5162
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-70277DOI: 10.1007/978-981-10-7323-6_31ISBN: 978-981-10-7322-9 (print)ISBN: 978-981-10-7323-6 (electronic)OAI: oai:DiVA.org:ltu-70277DiVA, id: diva2:1237413
Available from: 2018-08-08 Created: 2018-08-08 Last updated: 2018-08-09Bibliographically approved

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Kumar, Uday

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