Miele, S., Y. Bao, P. Karve, S. Mahadevan, V. Agarwal, E. Giannini, J. Zhu, (2019), “Vibration-Based Techniques for Concrete Structural Health Monitoring,” INL/EXT-19-5324, DOI: 10.2172/1546748
Assessment and management of aging concrete structures in nuclear power plants require a more systematic and automated approach than simple reliance on existing-code margins of safety. The current fleet of nuclear power plants perform time-based periodic inspection of concrete structures to understand the condition of the structure based on nondestructive evaluation heterogeneous measurements and then an actionable information regarding structural integrity is generated. This information is used to support execution of the aging management plan.
The objectives of this ongoing research project focus on health monitoring and data analytics of concrete slabs containing reactive aggregates and thus subjected to degradation due to alkali-silica reaction (ASR). A controlled concrete slab with four pockets of reactive aggregates (pure silica, and reactive aggregates from three different quarries) was cast at Vanderbilt University and cured in representative conditions to accelerate degradation due to ASR. A set of four concrete samples were also cast and cured at the University of Alabama for ASR testing. Of these four samples, two slabs contained reactive aggregates while the other two had the non-reactive aggregate counterparts mixed throughout the samples. Four additional slabs were cast and cured at the University of Nebraska- Lincoln. Of these four samples; one contained non-reactive aggregates and no reinforcement, one contained reactive aggregates and no reinforcement, one contained reactive aggregates and rebar reinforcement in one direction, and the last contained reactive aggregates and reinforcement in two directions. Single frequency and dual frequency tests were used on these slabs to locate ASR damage within the specimens containing reactive aggregates.
The vibration tests were conducted with different sensor and actuator configurations to facilitate damage detection and localization. The results from the data analysis of the dynamic testing on concrete slabs are discussed in detail in this report. Results for damage localization are dependent on multiple parameters used in the tests. This report investigates different methods of data fusion including voting, raw averaging, damage index averaging, and Bayesian fusion.
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