MATEC Web Conf.
Volume 195, 2018The 4th International Conference on Rehabilitation and Maintenance in Civil Engineering (ICRMCE 2018)
|Number of page(s)||8|
|Published online||22 August 2018|
Study of inertia weight parameter for boundary element inverse analysis to detect RC corrosion
Department of Mechanical and Industrial Engineering, Syiah Kuala University, Jl. Tgk. Syech Abdul Rauf No. 7, Banda Aceh 23111, Indonesia
2 Department of Mechanical Engineering, Andalas University, Padang 25163, Indonesia
* Corresponding author: firstname.lastname@example.org
This research studies the effect of an inconstant inertia weight (W) parameter on boundary element inverse analysis (BEIA) to detect the corrosion of reinforcing steel/rebar in concrete. The boundary element method (BEM) and particle swarm optimization (PSO) were used in developing the BEIA. Several measured electrical potential data from halfcell potential measurements were taken as a reference when performing the BEIA. Numerical simulation of reinforced concrete with single corrosion showed that the use of inconstant W with Wup = 0.5 and Wlow ≤ 0.5 did not affect the performance of the BEIA in corrosion detection. It was similar to the performance of the BEIA using a constant W in a previous study (0.25 ≤ W ≤ 0.5). However, the corrosion can still be detected with acceptable accuracy; that is, with an error of less than 5%. Hence, further research is needed to extend the study with Wup > 0.5 for an inconstant W.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.