2022 Fiscal Year Final Research Report
Long-term structural performance assessment of corroded reinforced concrete structures using an integrated approach of probabilistic and finite element method
| Project/Area Number |
19K15078
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 22020:Structure engineering and earthquake engineering-related
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| Research Institution | Waseda University |
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Principal Investigator |
LIM Sopokhem 早稲田大学, 理工学術院, 講師(任期付) (60801305)
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| Project Period (FY) |
2019-04-01 – 2023-03-31
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| Keywords | Maintenance and repair / Spatial steel corrosion / Spatial corrosion cracks / Finite element analysis / Current density / Galvanostatic corrosion / Reliability |
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| Outline of Final Research Achievements |
The effects of galvanostatic (GS) and artificial chloride environment (ACE) corrosion methods on the time-dependent steel corrosion and cracks of RC beams were studied using X-ray and image processing techniques. GS method applying current density lower than 50 micro amperes per cm2 is recommended to study steel corrosion since it produces the results close to that of ACE method. However, the GS method generated significantly smaller crack widths due to leakage of corrosion products. A correction factor is needed to modify the crack widths of GS method when predicting deterioration levels of structures. For long-term structural performance assessment, it is important to model spatial steel corrosion in finite element method considering its correlation in longitudinal and transverse directions for desired prediction results. Using statistic data of steel weight loss of corroded beams with 10 micro amperes/cm2 provided conservative estimation of loading capacities.
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| Free Research Field |
Concrete engineering
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| Academic Significance and Societal Importance of the Research Achievements |
X-ray and image processing techniques enable a comprehensive study the time-dependent steel corrosion and crack widths and its associated structural performance. Prediction of the long-term structural performance considering spatial steel corrosion is important for better-informed maintenance plans.
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