Service life of the reinforced concrete bridge deck in corrosive environments: A soft computing system

Authors:
Jafar Sobhani;Ali Akbar Ramezanianpour
Affiliations:
Building and Housing Research Center, Tehran 13145-1696, Iran and Department of Civil & Environmental Engineering, Amir Kabir University of Technology, Tehran 15875-4413, Iran;Building and Housing Research Center, Tehran 13145-1696, Iran and Department of Civil & Environmental Engineering, Amir Kabir University of Technology, Tehran 15875-4413, Iran
Venue:
Applied Soft Computing
Year:
2011

Citing 11
Cited 0

Fuzzy random reliability of structures based on fuzzy random variables

Fuzzy Sets and Systems
Concrete bridge deterioration diagnosis using fuzzy inference system

Advances in Engineering Software
Fuzzy random variables

Information Sciences: an International Journal - Fuzzy random variables
On the formalization of fuzzy random variables

Information Sciences: an International Journal - Fuzzy random variables
An integrated approach for optimum design of bridge decks using genetic algorithms and artificial neural networks

Advances in Engineering Software
Fuzzy polynomial neural networks for approximation of the compressive strength of concrete

Applied Soft Computing
Prediction and multi-objective optimization of high-strength concrete parameters via soft computing approaches

Expert Systems with Applications: An International Journal
Prediction of early heat of hydration of plain and blended cements using neuro-fuzzy modelling techniques

Expert Systems with Applications: An International Journal
Predicting the compressive strength of ground granulated blast furnace slag concrete using artificial neural network

Advances in Engineering Software
Fuzzy concrete bridge deck condition rating method for practical bridge management system

Expert Systems with Applications: An International Journal
Lifetime prediction using accelerated test data and neural networks

Computers and Structures

Quantified Score

Hi-index	0.01

Visualization

Abstract

In the recent years, the soft computing techniques are increasingly applied in many fields of civil engineering due to their capabilities in computation and knowledge processing. In this paper, a soft computing system is developed to estimate the service life of reinforced concrete bridge deck as one of the most important issues in the civil engineering. The proposed system utilizes four fuzzy interfaces to quantify the exposure condition, required cover thickness, corrosion current density, and pitting corrosion ratio. The computational core of the proposed system employs @a-level optimization in conjunction with the mentioned fuzzy systems to estimate the entire service life. The service life of structurally designed reinforced concrete bridge deck sample is assessed by both proposed system and traditional probabilistic method. The results showed that the proposed system could effectively predict the service life; however, it estimated longer service life in comparison with the probabilistic method.