Journal
AUTOMATION IN CONSTRUCTION
Volume 129, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.autcon.2021.103714
Keywords
LCC framework; Tunnel lining; Cracks; Maintenance; Tunnel monitoring; Neural networks
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This paper proposes a framework for automatically calculating the remediation costs of secondary lining cracks, using a multi-phase workflow that combines on-site measurements and advanced numerical modelling tools assisted by a custom-made neural network. The established platform presents a step forward in proactive estimation of the secondary lining remediation costs, continuously enhancing estimates of crack repair costs for tunnel managers.
This paper proposes the framework for automatic calculation of secondary lining cracks remediation costs. A study focuses on the structural cracks resulting from the tunnel secondary lining overloading due to rock mass creep. It is based on the multi-phase workflow combining the on-site measurements of behavior of the rock mass surrounding the tunnel and advanced numerical modelling tools assisted by the custom custom-made neural network, as well as the cost calculations. The workflow is established through the developed TunnCrack LCC platform where the data communication protocols between phases provided the straightforward and automatic data flow. Based on the evaluated long-term behavior of a tunnel, the secondary lining crack repair cost could be calculated for the different crack widths. The established platform presents a step forward in proactive estimation of the secondary lining remediation costs, where the monitoring data is continuously used to enhance the estimates of the crack repair costs, providing the tunnel managers with information on lining remediation life cycle costs, thus easing the overall decision-making process.
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