### Abstract

Precedents for statistical selection of deterioration factors in RC slabs of urban expressway have not been accumulated very much. In this study, the authors focus on the deterioration of RC slab in urban expressway and clarify its deterioration process using statistical methods. In this study, the detailed visual inspection data of RC slabs inspected each panel which compose a single RC slab are adopted. The authors employ the Markov deterioration hazard model as a concrete method to select deterioration factors and to estimate the expected lifespan of each panel. Regarding to deterioration factors, 15 kinds of characteristic variables are considered as candidates of the factors, and by comparison of t-value and AIC, the factors having the significant interpretability can be selected. In addition, by estimating the Markov deterioration hazard model, Markov transition probability can be estimated. Then, using the Markov transition probability and Monte Carlo simulation, the expected lifespan of each RC slab can be calculated. By using the result of this study, when we determine the number of panels per a RC slab, the number of construction joint panels and the characteristic variables, expected deterioration path of the RC slab can be obtained.

Original language | English |
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Publication status | Published - 2013 |

Event | 13th East Asia-Pacific Conference on Structural Engineering and Construction, EASEC 2013 - Sapporo, Japan Duration: 2013 Sep 11 → 2013 Sep 13 |

### Other

Other | 13th East Asia-Pacific Conference on Structural Engineering and Construction, EASEC 2013 |
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Country | Japan |

City | Sapporo |

Period | 13/9/11 → 13/9/13 |

### Keywords

- Markov deterioration hazard model
- RC slab
- Statistical deterioration prediction

### ASJC Scopus subject areas

- Civil and Structural Engineering
- Building and Construction

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## Cite this

*Statistical selection of deterioration factors in RC slab of urban expressway*. Paper presented at 13th East Asia-Pacific Conference on Structural Engineering and Construction, EASEC 2013, Sapporo, Japan.