PSI - Issue 41

Available online at www.sciencedirect.com Available online at www.sciencedirect.com ScienceDirect Structural Integrity Procedia 00 (2022) 000–000 Available online at www.sciencedirect.com ScienceDirect Structural Integrity Procedia 00 (2022) 000–000

www.elsevier.com/locate/procedia www.elsevier.com/locate/procedia

ScienceDirect

Procedia Structural Integrity 41 (2022) 9–13

© 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the MedFract2Guest Editors. Abstract Offshore windmills and pipeline networks are examples of strategic infrastructures used for the production of clean energy and for the storage and long-distance transportation of hydrocarbons, hydrogen and water. The relevant structural elements are mainly made of welded portions of steel pipes, which often interact with aggressive fluids and hostile environments. Material aging is thus accelerated and localized damage processes are promoted, harming the design safety factors. The structural health of such components can be monitored in operation, throughout their lifetime, by non-destructive testing performed by portable devices. The equipment at present available on the market permits to develop fully automated testing campaigns, overcoming the difficulties associated to large extension and difficult accessibility. The data collected on site can be transferred through virtual networks, to be evaluated and processed in order to permit the quantitative evaluations required by the optimization and the planning of repair and retrofit operations. This contribution discusses the potential offered by the current practice and illustrates the methodological adaptations that produce effective diagnostic tools in the outlined context. © 2022 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the MedFract2Guest Editors. Keywords: steel structures; diagnostic analysis; non-destructive testing; automation. 1. Introduction Offshore windmills and pipeline networks are examples of strategic infrastructures used for the production of clean energy and for the storage and long-distance transportation of hydrocarbons, hydrogen and water; see e.g. Sherif et al. (2005), Pirani and Yafimava (2016), Haesen et al. (2018). The relevant structural elements are mainly made of welded portions of steel pipes, often interacting with aggressive fluids and hostile environments. Material aging is thus 2nd Mediterranean Conference on Fracture and Structural Integrity Automated non-destructive integrity assessment of metal structures Gabriella Bolzon* Department of Civil and Environmental Engineering, Politecnico di Milano, piazza Leonardo da Vinci 32, 20133 Milano, Italy Abstract Offshore windmills and pipeline networks are examples of strategic infrastructures used for the production of clean energy and for the st age and long-distance tra sportation of hydrocarbons, hydrogen and water. The elevant structural e ments are mainly made f w lde p rtion of steel pipes, which ften interact wit aggressive fluids and ostile environments. Material aging is thus accelerated an l calized damage processes ar promoted, arming th design safety factors. The s ructural he lth of such components can be monitored in ope ation, through ut th ir lifetime, by non-destructive tes ing performed by port ble devices. The equipment at prese t available on the market permits o develop fully aut mated testing campaigns, overcoming the difficulties associated to large xt sion and difficult accessibility. The data collected n si can be transferred through v rtual networks, to be evaluated and proc ssed in order to permit the quantitative evaluations requir d by th optimization and t e planning of repair and retrofit operations. This contribution discuss s the potential offered by the current practice and llustrates the method logical dapta i ns that pr duce effe tive diagnost c tools in the utlined context. © 2022 The Authors. Published by ELSEVIER B.V. This is an open acce s article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review u der re ponsibility of MedFract2Guest Editors. K ywords: steel structures; diagnostic analysis; non-destructive test ng; automation. 1. Introduction Offshore windmills and pipeline networks are examples of strategic infrastructures used for the production of clean energy and for the storage and lo g-distance transportation hydrocarbons, hydrogen an water; see e.g. Sherif et l. (2005), Pirani and Yafimava (2016), Haesen et al. (2018). The relevant structural elements are mainly made of welded portions of steel pipes, often interacting with aggressive fluids and hostile environments. Material ging is thus 2nd Mediterranean Conference on Fracture and Structural Integrity Automated non-destructive integrity assessment of metal structures Gabriella Bolzon* Department of Civil and Environmental Engineering, Politecnico di Milano, piazza Leonardo da Vinci 32, 20133 Milano, Italy

* Corresponding author. Tel.: +39-02 2399 4319; fax: +39-02 2399 4330. E-mail address: gabriella.bolzon@polimi.it * Corresponding author. Tel.: +39-02 2399 4319; fax: +39-02 2399 4330. E-mail ad ress: gabriella.bolzon@polimi.it

2452-3216 © 2022 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license ( https://creativecommons.org/licenses/by-nc-nd/4.0 ) Peer-review under responsibility of the MedFract2Guest Editors. 2452-3216 © 2022 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license ( https://creativecommons.org/licenses/by-nc-nd/4.0 ) Peer-review u der re ponsibility of MedFract2Guest Editors.

2452-3216 © 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the MedFract2Guest Editors. 10.1016/j.prostr.2022.05.003