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This paper presents a hierarchical Bayesian random field model to assess the spatial variability of concrete strength in existing structures, utilizing in-situ measurements for improved accuracy. The proposed model incorporates a novel correlation function that distinguishes between micro-scale and meso-scale variability, allowing for a more precise estimation of concrete strength. The methodology is applied to case studies involving ship lock chamber walls, demonstrating its effectiveness in updating struc

Author

carlamelki0

Language

EN