The Model for Predicting the Remaining Service Life of Reinforced Concrete Bridges in-Service and Applicability

Abstract

There is a strong need in maintenance and management of bridge that analyzes and predicts remaining service life (RSL) of reinforced concrete bridge. Since structural resistance of concrete bridge is generally suffered from environment, load and material etc. factors, which are intercoupled and time-varying. Hence researchers should consider the economic development of road traffic area, environment of operational bridge, variation of load, deterioration law of materials, and maintenance cost of LCC for predicting RSL of bridge. This paper reviews recent model of predicting the remaining service life (RSL) for concrete bridge and serviceability, analyzes model characteristic and defects, and looks forward to future research from the viewpoint of structure durability, reliability and life cycle cost, respectively.

Condition Ranking and Rating of Bridges Using Fuzzy Logic

“…Liang et al (2001) used fuzzy mathematics to build a damage evaluation methodology for existing reinforced concrete bridges. Liang et al (2002) proposed grey and regression models for predicting the remaining service life of existing reinforced concrete www.intechopen.com bridges. Zhao and Chen (2002) developed a fuzzy rule-based inference system for bridge damage diagnosis and prediction which aims at providing bridge designers with valuable information about the impact of design factors on bridge deterioration.…”