Boundary element inverse analysis for rebar corrosion detection: Study on the 2004 tsunami-affected structure in Aceh
(چکیده مقاله) :
Abstract :
Evaluation of rebar/reinforcing-steel corrosion for the 2004 tsunami-affected reinforced concrete
(RC) buildings in Aceh was conducted using half-cell potential mapping technique. However, the
results only show qualitative meaning as corrosion risk rather than the corrosion itself, such as
the size and location of corrosion. In this study, boundary element inverse analysis was proposed
to be performed to detect rebar corrosion of the 2004 tsunami-affected structure in Aceh, using
several electrical potential measurement data on the concrete surface. One RC structure in
Peukan Bada, an area heavily damaged by the tsunami, was selected for the study. In 2004 the
structure was submerged more than 5m by the tsunami. Boundary element inverse analysis was
developed by combining the boundary element method (BEM) and particle swarm optimization
(PSO). The corrosion was detected by evaluating measured and calculated electrical potential
data. The measured and calculated electrical potential on the concrete surface was obtained by
using a half-cell potential meter and by performing BEM, respectively. The solution candidates
were evaluated by employing PSO. Simulation results show that boundary element inverse
analysis successfully detected the size and location of corrosion for the case study. Compared
with the actual corrosion, the error of simulation result was less than 5%. Hence, it shows that
boundary element inverse analysis is very promising for further development to detect rebar
corrosion.
(RC) buildings in Aceh was conducted using half-cell potential mapping technique. However, the
results only show qualitative meaning as corrosion risk rather than the corrosion itself, such as
the size and location of corrosion. In this study, boundary element inverse analysis was proposed
to be performed to detect rebar corrosion of the 2004 tsunami-affected structure in Aceh, using
several electrical potential measurement data on the concrete surface. One RC structure in
Peukan Bada, an area heavily damaged by the tsunami, was selected for the study. In 2004 the
structure was submerged more than 5m by the tsunami. Boundary element inverse analysis was
developed by combining the boundary element method (BEM) and particle swarm optimization
(PSO). The corrosion was detected by evaluating measured and calculated electrical potential
data. The measured and calculated electrical potential on the concrete surface was obtained by
using a half-cell potential meter and by performing BEM, respectively. The solution candidates
were evaluated by employing PSO. Simulation results show that boundary element inverse
analysis successfully detected the size and location of corrosion for the case study. Compared
with the actual corrosion, the error of simulation result was less than 5%. Hence, it shows that
boundary element inverse analysis is very promising for further development to detect rebar
corrosion.
(توضیحات تکمیلی) :
(توضیحات تکمیلی) :
Description :
مقاله ISI انگلیسی اصلی
سال انتشار:2018
فایل ISI انگلیسی اصلی ، با فرمت Pdf
تعداد صفحات فایل ISI انگلیسی اصلی: 7 صفحه
سال انتشار:2018
فایل ISI انگلیسی اصلی ، با فرمت Pdf
تعداد صفحات فایل ISI انگلیسی اصلی: 7 صفحه
Authors / Descriptions(نویسندگان/توضیحات): مقاله ISI سال انتشار2018 \ S. Fonnaa,⁎, Gunawarmanb, S. Huznia, A.K. Ariffinc
Sent date(تاریخ ارسال) :
1397/10/19 | 1/9/2019
Number of visits(تعداد بازدید):
810
Key words (کلمات کلیدی):
Inverse analysis Boundary element method PSO Corrosion Reinforced concrete
Number of pages(تعداد صفحات) :
7
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