Quantitative Evaluation of Risk Factors Affecting the Deterioration of RC Deck Slab Components in East Japan and Tokyo Regions Using Survival Analysis

Abstract

The investigation described in this paper aims to determine the factors in the deterioration of reinforced concrete (RC) bridge deck slab components, quantitatively evaluate them using survival analysis, and thus facilitate optimal decision-making. To consider bridge deterioration across Japan, bridge inspection data from the East Japan and Tokyo regions were selected based on their different deterioration phenomena and processes. Data cleaning and selection were conducted to increase the accuracy and reliability of the analysis. Using the Kaplan–Meier (KM) estimator and Cox multivariate regression model, the hazard risk of each variate was quantitatively estimated. For East Japan, winter precipitation and de-icing salt greatly increased the deterioration rate, indicating that high humidity and a high salinity environment were the main reasons for deterioration. However, for the Tokyo region, traffic loading resulted in high risk, indicating that fatigue failure was the main risk factor. In both areas, the slab edge showed a high deterioration rate; therefore, edge waterproofing should be improved to enhance durability. Additionally, the risk score of each bridge component was calculated and mapped using geographical coordinate information. Inspection, repairs, and rehabilitation can be more efficiently conducted using this information.

Influence of the Fiber Volume Content on the Durability-Related Properties of Polypropylene-Fiber-Reinforced Concrete

“…Chloride-induced corrosion is one of the major causes of concrete structure deterioration. Chloride ions from seawater or deicing salt induce corrosion of the reinforcement materials [8,9]. The influence of fiber volume content on the durability-related properties of PPFCs under dry-wet and freeze-thaw cycling in a chloride environment was investigated in this paper.…”

Undersampling Strategy for Machine-learned Deterioration Regression Model in Concrete Bridges

“…Various techniques, such as the Markov chain model (Jiang et al 1988;Ng and Moses 1998;Morcous 2006;Wellalage et al 2013), multiple regression analysis (Veshosky et al 1994), and Cox regression analysis (Fang et al 2018) have been adopted to analyze these inspection results, extract the characteristics of the deterioration, and reflect them in predictions of deterioration progress. These techniques can capture the general deterioration trend of the target bridges, but not the trend of individual bridges.…”

Reinforced Concrete Slab Optimization with Simulated Annealing

“…Their structural behavior is complex and is currently being studied. Fatigue [29], punching shear [30][31][32] resistance, aging [33], and cracking properties [34,35] have been discussed in the current literature.…”