MONITORING VERTICAL DISPLACEMENT OF REINFORCED CONCRETE BEAM BY DIGITAL PROCESSING TECHNOLOGY
Keywords:
rebar corrosion-damaged, Digital Image Correlation, displacement, structural health monitoringAbstract
Structural Health Monitoring (SHM) is a crucial scope of work in civil engineering specifically on monitoring the in-service and ageing coastal bridge deck concrete structure serviceability and limit state status performance. One of the possible natural process that pose detrimental effects to such structure performance monitoring is the steel rebar pitting corrosion problem. Progressive pitting corrosion process on the certain steel rebar area in low quality of concrete cover due to chloride ingression will cause local premature damage the steel rebar which obviously affect the serviceability performance of the structural element, i.e. displacement. However, the available displacement monitoring methods become an issue when it comes to engineering practicality and costs considerations. Therefore, the purpose of this study is to monitor and analyze the vertical displacement of an undamaged and damage reinforced concrete beam using the digital signal processing technology, Digital Image Correlation, (DIC) that use Sony camera and MATLAB scripts, and compared to a traditional method, Linear Variable Displacement Transducer (LVDT) at two points bending tests setup. It was concluded, that the quantified displacement for corrosion-damage RC via DIC method is higher than the normal reinforced concrete beam by 2 to 46 percent of error to LVDT measurements. Based on two tailed paired t-test analysis, DIC method was concluded to be as good as the LVDT method of measuring the beam’s displacement. The developed method has the potential implementation on monitoring the any beam deflection on current real civil engineering related projects.
References
Bhandari, J., Khan, F., Abbassi, R., Garaniya, V. and Ojeda R.. (2015). “Modelling of pitting corrosion in marine and offshore steel structures – A technical review”, Journal of Lost Preventive in the Process Industries, 37, 39-62.
BS EN 1992-1-1:2004, (2004). Design of concrete structures. General rules and rules for buildings, 1-227.
BS EN 1992-1-1:2005, (2005). Design of concrete structures - Part 2: Concrete bridges - Design and detailing rules, 1-97.
Corina, S., Liviu, M. and Geert, D.S. (2015). “Damage of Reinforced Concrete Structures Due to Corrosion”, Advanced Material Research, 1111, 187-192.
Desai, N., Georgakis, C., and Fischer, G. (2016). “A comparison between the minimum resolution of two digital image correlation-based tools in making strain measurements”, IAJC-ISAM International Conference, Nov 6-8, Orlando, Florida.
Doane, D.P. and Seward, L.E. (2010). “Measuring Skewness: A Forgotten Statistics”, Journal of Statistics Education, 19, 1-18.
Gheitasi, A. and Harris, D.K. (2014). “Effect of deck deterioration on overall system behaviour, resilience and remaining life of composite steel girder bridges, SEI Structure Congress, Boston, 1-12.
Gordon, S., Lichti, D., Franke, J. and Stewart, M. (2004). “Measurement of structural deformation using Terestrial Laser Scanners”, 1st FIG International Symposium on Engineering Surveys for Construction Works and Structural Engineering.
Lavrov, A., Todorovic, J. and Torsaeter, M. (2016). “Impact of voids on mechanical stability of wall cement”, Energy Procedia, 86, 401-410.
McCormick, N. and Lord, J. (2010). “Digital Image Correlation”, Materials Today, 2010, 13, 52-54.
Michalopoulos, D. and Koutsoukos, P. (2008). “The Corrosion Effects on the Structural Integrity of Reinforcing Steel”, Journal of Material Engineering and Performance, 17, 506-516.
Pieraccini, M. (2013). “Monitoring of Civil infrastructures by Interferometric Radar: A review”, The Science World Journal, 2013, 1-8.
Pradhan, B. (2014). “Corrosion behaviour of steel reinforcement in concrete exposed to composite chloridesulphate environment, Construction and Building Materials, 72, 398-410.
Ragazzola, F., Foster, L.C., Form, A. and Anderson, P.S.L. (2012). “Ocean acidification weakens the structural integrity of coralline algae”, Global Change Biology, 18, 2804-2812.
Ronnholm, P., Nuikka, M., Suominen, P., Salo, P., Hyyppa, H., Pontinen, P., Haggren, H., Vermeer, M., Puttonen, J., Hirshi, H., Kukko, A., Kaartinen, H., Hyyppa, J. and Jaakola, A. (2009). “Comparison of measurement techniques and static theory applied to concrete beam deformation”, The Photogrammetric Record, 24, 351-371.
Santos, A.H.A., Pitangueira, R.L.S., Ribeiro, G.O. and Carrasco, E.V.M. (2016). “Concrete modulus of elasticity assessment using digital image correlation”, Ibracon Structures and Material Journal, 9, 587-594.
Senin, S.F. and Hamid, R. (2016). “Ground Penetrating Radar Wave attenuation models for estimation of moisture and chloride content in concrete slab”, Construction and Building Materials, 106, 659-669.
Steward, M.G., Al-Harthy A. (2008). “Pitting corrosion and structural reliability of corroding RC structures: Experimental data and probabilistic analysis, Reliability Engineering and System Safety, 93, 373-382.
Wilbur, P. (2011). “Damage identification in reinforced concrete beams using Digital Image Correlation”, Electronic Theses and Dissertation, University of Windsor.
Winter, J.C.F. (2013). “Using the student t-test with extremely small sample sizes”, Practical Assessment,
Research & Evaluation, 18, 1-12.
Downloads
Published
Issue
Section
License
Copyright (c) 2018 Journal of Academia
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
