Data analytics for concrete structural health monitoring in nuclear power plants

Agarwal, Vivek; Bao, Yixin; Mahadevan, S; Adams, Douglas E.; Hallbert, Bruce

doi:10.1201/b19094-306

Cited by 11 publications

(11 citation statements)

References 3 publications

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“…Together, these two development efforts will provide effective on-line conditioning monitoring for a large percentage of NPP components and structures (Agarwal & Mahadevan, 2014).…”

Section: On-line Monitoring -Active and Passivementioning

confidence: 99%

Light Water Reactor Sustainability Program: Digital Architecture Requirements

Thomas

Oxstrand

2015

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A major objective of the LWRS program is the development of a seamless digital environment for plant operations and support, integrating information from plant systems with plant processes for nuclear workers through an array of interconnected technologies. The digital architecture is defined as a collection of information technology (IT) capabilities needed to support these digital interconnected technologies. This collection of IT capabilities must in turn be based on a set of requirements that reflect the intended use of the interconnected technologies. These requirements, simply put, are a statement of what sorts of digital work functions will be exercised in a fully-implemented seamless digital environment and how much they will be used. This report describes an initial set of requirements for the digital architecture in terms of I&C and IT capabilities needed to support NPP work activities employing new digital technologies identified and developed in other pilot projects within the II&C Pathway. This report presents the user requirements in four areas of nuclear power plant (NPP) digital technologies:

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“…Together, these two development efforts will provide effective on-line conditioning monitoring for a large percentage of NPP components and structures (Agarwal & Mahadevan, 2014).…”

Section: On-line Monitoring -Active and Passivementioning

confidence: 99%

Light Water Reactor Sustainability Program: Digital Architecture Requirements

Thomas

Oxstrand

2015

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“…SHM refers to a non-destructive process of implementing a damage identification and diagnosis strategy (Sohn et al, 2003). In the context of concrete members (cast in-situ or prefabricated), SHM refers to the detection of abnormalities or deformities (i.e., arising via deterioration, damage or failure) and provides information regarding structural health and integrity of concrete members for continued use (Agarwal et al, 2017;Zou et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Real-time structural health monitoring for concrete beams: a cost-effective ‘Industry 4.0’ solution using piezo sensors

Ghosh

Edwards

Hosseini

et al. 2020

IJBPA

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PurposeThis research paper adopts the fundamental tenets of advanced technologies in industry 4.0 to monitor the structural health of concrete beam members using cost-effective non-destructive technologies. In so doing, the work illustrates how a coalescence of low-cost digital technologies can seamlessly integrate to solve practical construction problems.Design/methodology/approachA mixed philosophies epistemological design is adopted to implement the empirical quantitative analysis of “real-time” data collected via sensor-based technologies streamed through a Raspberry Pi and uploaded onto a cloud-based system. Data was analysed using a hybrid approach that combined both vibration-characteristic-based method and linear variable differential transducers (LVDT).FindingsThe research utilises a novel digital research approach for accurately detecting and recording the localisation of structural cracks in concrete beams. This non-destructive low-cost approach was shown to perform with a high degree of accuracy and precision, as verified by the LVDT measurements. This research is testament to the fact that as technological advancements progress at an exponential rate, the cost of implementation continues to reduce to produce higher-accuracy “mass-market” solutions for industry practitioners.Originality/valueAccurate structural health monitoring of concrete structures necessitates expensive equipment, complex signal processing and skilled operator. The concrete industry is in dire need of a simple but reliable technique that can reduce the testing time, cost and complexity of maintenance of structures. This was the first experiment of its kind that seeks to develop an unconventional approach to solve the maintenance problem associated with concrete structures. This study merges industry 4.0 digital technologies with a novel low-cost and automated hybrid analysis for real-time structural health monitoring of concrete beams by fusing several multidisciplinary approaches into one integral technological configuration.

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“…Vanderbilt University, in collaboration with Idaho National Laboratory and Oak Ridge National Laboratory, is developing a framework for evaluating and forecasting the health of aging NPP concrete structures that are subject to physical, chemical, and mechanical degradation (Mahadevan et al 2014;Agarwal and Mahadevan 2014). The framework will investigate concrete structure degradation by integrating the following technical elements: (1) health condition monitoring; (2) data analytics; (3) uncertainty quantification; and (4) prognosis.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty Quantification in Vibro-Acoustics Diagnosis of Alkali-Silica Reaction Degradation in Medium-Sized Concrete Samples

Mahadevan

Miele

Karve

et al. 2018

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The objectives of this ongoing research project focus on health monitoring and data analytics of concrete slabs with alkali-silica reaction (ASR) degradation. Researchers at Vanderbilt University cast a controlled concrete slab with four pockets of reactive aggregates (pure silica, wells, placitas, and spratt) 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. Vibro-acoustic testing was used on these slabs to locate ASR damage within the reactive samples. Vibro-acoustic modulation (VAM) is a vibration-based nondestructive examination (NDE) method that utilizes signatures of nonlinear dynamic interactions on contact surfaces of crack or delamination damage to detect and localize the damage. VAM analysis was conducted on both the Vanderbilt and Alabama samples using multiple variables for damage detection and localization. This report discusses in detail the results from the data analysis of the vibroacoustic testing on concrete slabs cured at Vanderbilt University and the University of Alabama. Results for damage localization are dependent on multiple variables used in the vibro-acoustic modulation experiments. A major focus of this report is to quantify the uncertainty in the diagnosis due to multiple factors and uncertainty sources. Researchers applied the uncertainty quantification methodology presented in this report to VAM-based diagnosis and prognosis. However, the methodology is general, and is capable of being applied to multiple techniques that collect spatially distributed data. Future work needs to investigate the incorporation of uncertainty quantification in developing a robust Prognostics and Health Management framework. Digital image correlation is a three-dimensional, full-field, optical NDE technique to measure contour, deformation, vibration, and strain. This report also discusses the application of the digital image correlation technique to study ASRrelated degradation on a large concrete specimen at the University of Tennessee. Research observations are collected and presented in this report. v

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Data analytics for concrete structural health monitoring in nuclear power plants

Cited by 11 publications

References 3 publications

Light Water Reactor Sustainability Program: Digital Architecture Requirements

Light Water Reactor Sustainability Program: Digital Architecture Requirements

Real-time structural health monitoring for concrete beams: a cost-effective ‘Industry 4.0’ solution using piezo sensors

Uncertainty Quantification in Vibro-Acoustics Diagnosis of Alkali-Silica Reaction Degradation in Medium-Sized Concrete Samples

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