Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Variability in Section Loss and Maximum Pit Depth of Corroded Prestressing Wires
https://orcid.org/http://orcid.org/0000-0003-4826-4163
https://orcid.org/http://orcid.org/0000-0002-3852-4243
https://orcid.org/http://orcid.org/0000-0003-0258-3054
https://orcid.org/http://orcid.org/0000-0002-4382-9930
https://orcid.org/http://orcid.org/0000-0002-4334-0553
https://orcid.org/http://orcid.org/0000-0002-5917-5273
In the last years, chloride-induced corrosion damage has been recognized as a primary cause of deterioration in infrastructures. In this context, structural durability of prestressed concrete (PC) bridges results to be strictly affected by pitting corrosion, causing detrimental effects in terms of stress concentration and residual strength capacity. In this paper, the pitting corrosion of twenty-three seven-wire strands belonging to naturally corroded PC beams exposed to wet-dry cycles for 10 years is discussed. All strand samples were scanned using a structured light 3D scanner of the GOM ATOS series in order to obtain information about pit depth, mass loss and wire section loss. Correlation between strand section loss and wire section loss is proposed. Finally, the paper describes a probabilistic model for the prediction of the maximum pit-depth distribution of prestressing wires by using the Lognormal distribution function.
Variability in Section Loss and Maximum Pit Depth of Corroded Prestressing Wires
https://orcid.org/http://orcid.org/0000-0003-4826-4163
https://orcid.org/http://orcid.org/0000-0002-3852-4243
https://orcid.org/http://orcid.org/0000-0003-0258-3054
https://orcid.org/http://orcid.org/0000-0002-4382-9930
https://orcid.org/http://orcid.org/0000-0002-4334-0553
https://orcid.org/http://orcid.org/0000-0002-5917-5273
In the last years, chloride-induced corrosion damage has been recognized as a primary cause of deterioration in infrastructures. In this context, structural durability of prestressed concrete (PC) bridges results to be strictly affected by pitting corrosion, causing detrimental effects in terms of stress concentration and residual strength capacity. In this paper, the pitting corrosion of twenty-three seven-wire strands belonging to naturally corroded PC beams exposed to wet-dry cycles for 10 years is discussed. All strand samples were scanned using a structured light 3D scanner of the GOM ATOS series in order to obtain information about pit depth, mass loss and wire section loss. Correlation between strand section loss and wire section loss is proposed. Finally, the paper describes a probabilistic model for the prediction of the maximum pit-depth distribution of prestressing wires by using the Lognormal distribution function.
Variability in Section Loss and Maximum Pit Depth of Corroded Prestressing Wires
https://orcid.org/http://orcid.org/0000-0003-4826-4163
https://orcid.org/http://orcid.org/0000-0002-3852-4243
https://orcid.org/http://orcid.org/0000-0003-0258-3054
https://orcid.org/http://orcid.org/0000-0002-4382-9930
https://orcid.org/http://orcid.org/0000-0002-4334-0553
https://orcid.org/http://orcid.org/0000-0002-5917-5273
In the last years, chloride-induced corrosion damage has been recognized as a primary cause of deterioration in infrastructures. In this context, structural durability of prestressed concrete (PC) bridges results to be strictly affected by pitting corrosion, causing detrimental effects in terms of stress concentration and residual strength capacity. In this paper, the pitting corrosion of twenty-three seven-wire strands belonging to naturally corroded PC beams exposed to wet-dry cycles for 10 years is discussed. All strand samples were scanned using a structured light 3D scanner of the GOM ATOS series in order to obtain information about pit depth, mass loss and wire section loss. Correlation between strand section loss and wire section loss is proposed. Finally, the paper describes a probabilistic model for the prediction of the maximum pit-depth distribution of prestressing wires by using the Lognormal distribution function.
Variability in Section Loss and Maximum Pit Depth of Corroded Prestressing Wires
Lecture Notes in Civil Engineering
Pellegrino, Carlo (Herausgeber:in) / Faleschini, Flora (Herausgeber:in) / Zanini, Mariano Angelo (Herausgeber:in) / Matos, José C. (Herausgeber:in) / Casas, Joan R. (Herausgeber:in) / Strauss, Alfred (Herausgeber:in) / Franceschini, Lorenzo (Autor:in) / Vecchi, Francesca (Autor:in) / Tondolo, Francesco (Autor:in) / Belletti, Beatrice (Autor:in)
International Conference of the European Association on Quality Control of Bridges and Structures ; 2021 ; Padua, Italy
12.12.2021
8 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
| British Library Online Contents | 2017