A State-Dependent Inspection Scheme for Rc Slabs Using the Frequency of Pothole Formation as Complementary Information

Kiyoyuki KAITO; Yohei Ninomiya

doi:10.2208/jscejcm.76.1_63

January 1, 2020Journal of Japan Society of Civil Engineers Ser F4 (Construction and Management)Open Access

A State-Dependent Inspection Scheme for Rc Slabs Using the Frequency of Pothole Formation as Complementary Information

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Key Points

To establish a state-dependent bridge inspection scheme that optimizes reinforced concrete slab inspection intervals by incorporating routine pothole occurrence records as complementary data.
Developed a Poisson hidden Markov deterioration hazard model that explicitly accounts for mutual interactions between RC slab degradation and surface pothole formation.
Formulated a theoretical framework utilizing daily road patrol pothole data to guarantee structural safety while lengthening periodic visual inspection cycles.
Applied and validated the methodology using empirical inspection and maintenance datasets from operational road bridges.
Demonstrated that low-cost, high-frequency pothole observation data can reliably infer latent structural deterioration stages in bridge RC slabs.
Established a quantitative inspection policy that justifies extending costly visual inspection intervals while maintaining safety standards.

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Implication

Methodological study demonstrates state-dependent RC bridge slab monitoring using surface pothole frequency, indicating visual inspection intervals can safely be extended.

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Cite This Study

KAITO et al. (2020) studied this question.

synapsesocial.com/papers/6a752cb199129e9915f57385 https://doi.org/10.2208/jscejcm.76.1_63

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A State-Dependent Inspection Scheme for Rc Slabs Using the Frequency of Pothole Formation as Complementary Information

Key Points

No abstract yet

Implication

Discussion

Cite This Study

A State-Dependent Inspection Scheme for Rc Slabs Using the Frequency of Pothole Formation as Complementary Information

Key Points

No abstract yet

Implication

Discussion

Cite This Study

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