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Numerical modeling of the effects of electrode spacing and multilayered concrete resistivity on the apparent resistivity measured using Wenner method

conference contribution
posted on 27.07.2021, 01:28 by Karthick Thiyagarajan, Parikshit Acharya, Lasitha PiyathilakaLasitha Piyathilaka, Sarath Kodagoda
Smart Sensing technologies can play an important role in the conditional assessment of concrete sewer pipe linings. In the long-term, the permeation of acids can deteriorate the pipe linings. Currently, there are no proven sensors available to non-invasively estimate the depth of acid permeation in real-time. The electrical resistivity measurement on the surface of the linings can indicate the sub-surface acid moisture conditions. In this study, we consider acid permeated linings as a two resistivity layer concrete sample, where the top resistivity layer is assumed to be acid permeated and the bottom resistivity layer indicates normal moisture conditions. Firstly, we modeled the sensor based on the four-probe Wenner method. The measurements of the developed model were compared with the previous studies for validation. Then, the sensor model was utilized to study the effects of electrode contact area, electrode spacing distance and two resistivity layered concrete on the apparent resistivity measurements. All the simulations were carried out by varying the thickness of top resistivity layer concrete. The simulation study indicated that the electrode contact area has very minimal effects on apparent resistivity measurements. Also, an increase in apparent resistivity measurements was observed when there is an increase in the distance of the electrode spacing. Further, a machine learning approach using Gaussian process regression modeling was formulated to estimate the depth of acid permeated layer.

History

Start Page

200

End Page

206

Number of Pages

7

Start Date

09/11/2020

Finish Date

13/11/2020

eISSN

2158-2297

ISSN

2156-2318

ISBN-13

9781728151694

Location

Online

Publisher

IEEE

Place of Publication

Piscataway, NJ

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

University of Technology Sydney

Era Eligible

Yes

Name of Conference

15th IEEE Conference on Industrial Electronics and Applications (ICIEA 2020)

Parent Title

Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications (ICIEA 2020)