Abstract

There are many historical bridges around the world whose crucial information regarding their foundations is unknown. Such information is essential for an accurate safety assessment regarding scour hazard. Current methods for identification of bridge foundation characteristics are typically expensive, potentially disruptive, and limited in their applications. Thus, the numerical feasibility study described in this paper assessed whether a nondestructive geophysical technique such as electrical resistivity tomography (ERT) could be used for this purpose. Synthetic scenarios were created accounting for different combinations of material resistivity. Two standard measurement sequences (dipole–dipole and Schlumberger) and an optimized one (“Compare R” method) were tested. Results showed that the depth of the bridge foundation was roughly well represented in all cases. However, the optimized sequence revealed slightly better results. Although this small improvement observed did not significantly affect the results of the simplified scenarios assessed by this study, it could be decisive for more complex scenarios. These findings demonstrated that ERT can be used to identify the depth of bridge foundations in an inexpensive, rapid, and nonintrusive way, allowing for more accurate assessment of bridge safety and scour risk ratings.

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Acknowledgments

The authors would like to thank Adrien Dimech for implementing and making the Compare R code algorithm available to us in MATLAB. The first author would also wish to acknowledge financial support from the Brazilian Funding Council (CAPES) via PET (Programa de Educação Tutorial) Scholarship.

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Go to Journal of Bridge Engineering
Journal of Bridge Engineering
Volume 27Issue 7July 2022

History

Received: Oct 26, 2021
Accepted: Mar 15, 2022
Published online: May 11, 2022
Published in print: Jul 1, 2022
Discussion open until: Oct 11, 2022

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Dept. of Civil Engineering, Escola de Minas, Universidade Federal de Ouro Preto, Campus Universitário, Morro do Cruzeiro, S/N, CEP: 35400-000, Ouro Preto, Brazil (corresponding author). ORCID: https://orcid.org/0000-0001-8162-5907. Email: [email protected]
Bruna de Carvalho Faria Lima Lopes https://orcid.org/0000-0001-7669-7236
Dept. of Civil and Environmental Engineering, Univ. of Strathclyde, Glasgow, UK. ORCID: https://orcid.org/0000-0001-7669-7236

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