Civil infrastructures, such as bridges and tunnels, play a crucial role in our society in the flow of people and goods. Automated assessment plans are needed to control the extensive infrastructure heritage, which is subject to ageing and aggressive external phenomena. The utilisation of deep learning techniques starting from an images database associated with degradation phenomena makes such automatization possible. A classification accuracy of 90% or more has been led. The paper illustrates the construction of an effective tool to automate the detection of several defects including cracks, anomalies, and voids and its promising integration within an overall tunnel control plan including coring, ultrasound, compression, and permeability tests. The results confirm the validity of the proposed methodology to obtain a full understanding of structural conditions.

Holistic strategies for control of tunnel linings / Aiello, Salvatore; Borla, Oscar; Chiaia, Bernardino; Marasco, Giulia. - ELETTRONICO. - (2021), pp. 95-101. ((Intervento presentato al convegno 2nd fib Symposium on Concrete and Concrete Structures tenutosi a Sapienza University, Rome, Italy nel Nov 18th-19th, 2021.

Holistic strategies for control of tunnel linings

Salvatore Aiello;Oscar Borla;Bernardino Chiaia;Giulia Marasco
2021

Abstract

Civil infrastructures, such as bridges and tunnels, play a crucial role in our society in the flow of people and goods. Automated assessment plans are needed to control the extensive infrastructure heritage, which is subject to ageing and aggressive external phenomena. The utilisation of deep learning techniques starting from an images database associated with degradation phenomena makes such automatization possible. A classification accuracy of 90% or more has been led. The paper illustrates the construction of an effective tool to automate the detection of several defects including cracks, anomalies, and voids and its promising integration within an overall tunnel control plan including coring, ultrasound, compression, and permeability tests. The results confirm the validity of the proposed methodology to obtain a full understanding of structural conditions.
978-2-940643-13-4
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/2954283