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Numerical Prediction and Corresponding Circular Economy Approaches for Resource Optimisation and Recovery of Underground Structures

Lookup NU author(s): Dr Cristian UlianovORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2020, The Author(s).The transition from a linear economy to a circular economy is a significant component of economic, environmental and social sustainability. Underground metro infrastructures such as tunnels can play a vital role in a circular economy, resulting in greater sustainability and less contribution to climate change. This paper presents numerical models of small-scale brick-lined railway tunnels to identify the critical locations, and then proposes corresponding circular approaches and solutions for the design, maintenance, life extension and end-of-service-life (EoSL) stages of underground infrastructures. The proposed numerical model is firstly verified with respect to the relevant experimental model based on tests under various loading conditions. The results demonstrate that detailed failure processes can be realistically captured by the numerical model, while the macroscopic behaviour compares well with experimental observations. Numerical modelling and subsequent prediction stand out as a practical approach and a powerful performance-based tool for analysing the reuse/recycling potential of metro tunnels and then carrying out easy repair and design for adaptability, disassembly and recoverability of underground infrastructures for a circular economy.


Publication metadata

Author(s): Chen H-M, Zhou R, Ulianov C

Publication type: Article

Publication status: Published

Journal: Urban Rail Transit

Year: 2020

Volume: 6

Pages: 71-83

Print publication date: 01/03/2020

Online publication date: 10/02/2020

Acceptance date: 20/12/2019

Date deposited: 04/03/2020

ISSN (print): 2199-6687

ISSN (electronic): 2199-6679

Publisher: Springer

URL: https://doi.org/10.1007/s40864-019-00124-0

DOI: 10.1007/s40864-019-00124-0


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