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Tri-level Framework for Realistic Estimation of Concrete Strength Using Bayesian Data Fusion of UPV and Guided Coring

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Abstract

Identification of in situ concrete characteristic strength (CCS) of deteriorating RC structures directly affects their rehabilitation. Contemporary practices lack the ability to yield CCS or at most produce an unrealistic estimate, because: (i) core tests are few due to technical and economic constraints and their positioning is random, inducing bias in the strength estimate, (ii) non-destructive tests (NDT) are themselves not good estimators of project specific strength, (iii) tests are only local indicators and most practising engineers are unaware of how to process the spatial variability. This paper overcomes these limitations with a novel and implementable framework, for an asset manager to make scientific estimates of CCS. This is a tri-level framework: (1) NDT are performed to capture the spatial variability of the investigated concrete; (2) core extractions are guided by the prior NDT information, to avoid bias in test location selection; (3) NDT and coring results are fused via Bayesian NDT test calibration and updating of the probability distribution of the concrete strength. The proposed framework is successfully implemented for the assessment and rehabilitation of a critical hospital complex in India.

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Data Availability

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

The authors would like to thank the anonymous reviewers whose critical comments and useful suggestions have been valuable in enhancing the quality of the paper. Authors also thank Nihar Gonsalves for data collection and Kewal Raval for retrofit design of this project.

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Authors and Affiliations

  1. Infrastructure Risk Management (IRM), Mumbai, Maharashtra, 401202, India

    Sharvil Alex Faroz

  2. Structural Safety, Risk & Reliability Lab, Department of Civil Engineering, Indian Institute of Technology Bombay, Mumbai, Maharashtra, 400076, India

    Siddhartha Ghosh

  3. A M Faroz & Associates, Mumbai, Maharashtra, 401202, India

    Alex Michael Faroz

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  1. Sharvil Alex Faroz
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  2. Siddhartha Ghosh
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  3. Alex Michael Faroz
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Contributions

Conceptualization: [SAF]; Methodology: [SAF, SG]; Formal analysis and investigation: [SAF]; Writing - original draft preparation: [SAF]; Writing - review and editing: [SG]; Resources: [AMF]; Supervision: [SG]; Project administration: [AMF]; Investigation:[AMF]

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Correspondence to Sharvil Alex Faroz.

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Faroz, S.A., Ghosh, S. & Faroz, A.M. Tri-level Framework for Realistic Estimation of Concrete Strength Using Bayesian Data Fusion of UPV and Guided Coring. J Nondestruct Eval 41, 78 (2022). https://doi.org/10.1007/s10921-022-00909-7

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